Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the b...Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.展开更多
The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping ...The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping how education is delivered,accessed,and experienced.These technologies enable personalized learning,optimize teaching processes,and make educational resources more accessible to learners worldwide.This paper examines the integration of these technologies into smart education systems,highlighting their applications,benefits,and challenges,and exploring their potential to bridge gaps in educational equity and inclusivity.展开更多
Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage a...Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.展开更多
In the field of cloud computing, topics such as computing resource virtualization, differences between grid and cloud computing, relationship between high-performance computers and cloud computing centers, and cloud s...In the field of cloud computing, topics such as computing resource virtualization, differences between grid and cloud computing, relationship between high-performance computers and cloud computing centers, and cloud security and standards have attracted much research interest. This paper analyzes these topics and highlights that resource virtualization allows information services to be scalable, intensive, and specialized; grid computing involves using many computers for large-scale computing tasks, while cloud computing uses one platform for multiple services; high-performance computers may not be suitable for a cloud computing; security in cloud computing focuses on trust management between service suppliers and users; and based on the existing standards, standardization of cloud computing should focus on interoperability between services.展开更多
Some of the significant new technologies researched in recent studies include BlockChain(BC),Software Defined Networking(SDN),and Smart Industrial Internet of Things(IIoT).All three technologies provide data integrity...Some of the significant new technologies researched in recent studies include BlockChain(BC),Software Defined Networking(SDN),and Smart Industrial Internet of Things(IIoT).All three technologies provide data integrity,confidentiality,and integrity in their respective use cases(especially in industrial fields).Additionally,cloud computing has been in use for several years now.Confidential information is exchanged with cloud infrastructure to provide clients with access to distant resources,such as computing and storage activities in the IIoT.There are also significant security risks,concerns,and difficulties associated with cloud computing.To address these challenges,we propose merging BC and SDN into a cloud computing platform for the IIoT.This paper introduces“DistB-SDCloud”,an architecture for enhanced cloud security for smart IIoT applications.The proposed architecture uses a distributed BC method to provide security,secrecy,privacy,and integrity while remaining flexible and scalable.Customers in the industrial sector benefit from the dispersed or decentralized,and efficient environment of BC.Additionally,we described an SDN method to improve the durability,stability,and load balancing of cloud infrastructure.The efficacy of our SDN and BC-based implementation was experimentally tested by using various parameters including throughput,packet analysis,response time,bandwidth,and latency analysis,as well as the monitoring of several attacks on the system itself.展开更多
The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a w...The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.展开更多
Based on the large amount and variations of the power grid task as well as its requirement of real- time performance and economic benefit, we make a further improvement and expansion of IHA (Improved Heuristic Algorit...Based on the large amount and variations of the power grid task as well as its requirement of real- time performance and economic benefit, we make a further improvement and expansion of IHA (Improved Heuristic Algorithm) on the combination of bionics in genetic engineering and evolution to solve the decomposing and scheduling problems. Firstly, we transform those complex decomposing problems into the operational optimal solution problem by IHA to decrease the rate of running into the local optimal solution [1]. In task scheduling, we classify the sub-tasks by the emergency degree for resource allocation, which not only largely reduces the calculation and resource cost but also improves working efficiency and the speed of execution [2]. Finally, we select optimal scheduling scheme by the Fitness function defined about time and cost.展开更多
Natural resources plays efficient contribution in the human world in the way of consuming energy resources for the daily life cycle.The main concerns rely on the transporting oil from refining to the consumer usages t...Natural resources plays efficient contribution in the human world in the way of consuming energy resources for the daily life cycle.The main concerns rely on the transporting oil from refining to the consumer usages through different modes.In the transportation passages,its performances are calibrated in the robust manner through sensor network communication and the periodical pigging inspection on the pipeline system.This chapter enumerates about the layout of oil pipeline system and its sensor measurement and instrumentation deliberately placed on the long run pipelines.The evolution of smart grid application enhances this oil transportation in a much corporate band by accumulatively orienting the sensor network in the utilization of power resources.Further,through the wireless communication associated with the smart grid,the pigging inspection gauges are exploited in the desired geographical area with better power consumption.Existing research on communication technologies in SG is briefly overviewed with the main focus on Cloud computing approaches.In this paper,the Smart Grid architecture and its applications are focused on entire oil pipeline from inlet to distribution substations first.The Cloud Computing architecture is explained thoroughly.Then,Cloud Computing for Smart Grid applications are also introduced in terms of efficiency,security and usability.Cloud platforms technical and security protocols are analyzed.Finally,the inspection of oil pipeline system by receiving sensor data of smart pigs incorporated with the cloud computing technique associated with smart grid application is elaborated with its SCADA hierarchical architecture.Further,simulation analysis of wireless sensor nodes with Flexmeter platform for power monitoring over smart pig case scenario is also presented with its layer-wise characterization.展开更多
Economic Management Professional Academic Education are increasingly becoming personalization,intelligence and application.Colleges and universities should actively use cloud computing and big data.Also Internet of Th...Economic Management Professional Academic Education are increasingly becoming personalization,intelligence and application.Colleges and universities should actively use cloud computing and big data.Also Internet of Things and other advanced information technologies to build an economics and management ERP virtual simulation experiment teaching platform.Cloud computing and big data,virtual simulation experiment teaching resources with"resource library+project library+enterprise management simulation sandbox training"as the core can build an online and offline collaborative and practical experiment teaching platform.It is expected to achieve the ideal effect of integration of three spaces.Such as physics and resources and social digital teaching.Moreover,it can also benefit human-computer collaboration and interactive teaching and inquiry learning.展开更多
A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control technologies.These technologies make the power grid reliable,efficient,and economical.H...A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control technologies.These technologies make the power grid reliable,efficient,and economical.However,the smartness boosts the volume of data in the smart grid.To obligate full benefits,big data has attractive techniques to process and analyze smart grid data.This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid.The offered framework comprises of the following four layers:(i)Data source layer,(ii)Data transmission layer,(iii)Data storage and computing layer,and(iv)Data analysis layer.As a proof of concept,the framework is simulated by taking the dataset of three cities of the Pakistan region and by considering two cloud-based data centers.The results are analyzed by taking into account the following parameters:(i)Heavy load data center,(ii)The impact of peak hour,(iii)High network delay,and(iv)The low network delay.The presented framework may help the power grid to achieve reliability,sustainability,and cost-efficiency for both the users and service providers.展开更多
This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained ...This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained to give the reader a clearer understanding on the complexity of the platform. Following this, several security issues and countermeasures are also discussed to show the major issues and obstacles that Cloud Computing faces as it is being implemented further. The major part of countermeasures focuses on Intrusion Detection Systems. Moving towards Mobile Cloud Computing and Internet of Things, this survey paper gives a general explanation on the applications and potential that comes with the integration of Cloud Computing with any device that has Internet connectivity as well as the challenges that are before it.展开更多
This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exch...This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.展开更多
Cloud computing is a type of emerging computing technology that relies on shared computing resources rather than having local servers or personal devices to handle applications. It is an emerging technology that provi...Cloud computing is a type of emerging computing technology that relies on shared computing resources rather than having local servers or personal devices to handle applications. It is an emerging technology that provides services over the internet: Utilizing the online services of different software. Many works have been carried out and various security frameworks relating to the security issues of cloud computing have been proposed in numerous ways. But they do not propose a quantitative approach to analyze and evaluate privacy and security in cloud computing systems. In this research, we try to introduce top security concerns of cloud computing systems, analyze the threats and propose some countermeasures for them. We use a quantitative security risk assessment model to present a multilayer security framework for the solution of the security threats of cloud computing systems. For evaluating the performance of the proposed security framework we have utilized an Own-Cloud platform using a 64-bit quad-core processor based embedded system. Own-Cloud platform is quite literally as any analytics, machine learning algorithms or signal processing techniques can be implemented using the vast variety of Python libraries built for those purposes. In addition, we have proposed two algorithms, which have been deployed in the Own-Cloud for mitigating the attacks and threats to cloud-like reply attacks, DoS/DDoS, back door attacks, Zombie, etc. Moreover, unbalanced RSA based encryption is used to reduce the risk of authentication and authorization. This framework is able to mitigate the targeted attacks satisfactorily.展开更多
Through analysis of cloud computing and characteristics, the paper described cloud computing infrastructure architecture. Mainly discusses cloud computing advantages in the use of the library and the use should pay at...Through analysis of cloud computing and characteristics, the paper described cloud computing infrastructure architecture. Mainly discusses cloud computing advantages in the use of the library and the use should pay attention to the problem, on this basis, we propose a cloud- based library information platform construction model to analyze the basic architecture of cloud computing, cloud-depth study calculated at the library information platform and database access patterns operating mode, and cloud computing future development and application prospects.展开更多
The quantity and heterogeneity of intelligent energy generation and consumption terminals in the smart grid are increasing drastically over the years.These edge devices have created significant pressures on cloud comp...The quantity and heterogeneity of intelligent energy generation and consumption terminals in the smart grid are increasing drastically over the years.These edge devices have created significant pressures on cloud computing(CC)system and centralised control for data storage and processing in realtime operation and control.The integration of edge computing(EC)can effectively alleviate the pressure and conduct real-time processing while ensuring data security.This paper conducts an extensive review of the EC-CC computing system and its application to the smart grid,which will integrate a vast number of dispersed devices.It first comprehensively describes the relationship among CC,fog computing(FC),and EC to provide a theoretical basis for the differentiation.It then introduces the architecture of the EC-CC computing system in the smart grid,where the architecture consists of both hardware structure and software platforms,and key technologies are introduced to support functionalities.Thereafter,the application to the smart grid is discussed across the whole supply chain,including energy generation,transportation(transmission and distribution networks),and consumption.Finally,future research opportunities and challenges of EC-CC while being applied to the smart grid are outlined.This paper can inform future research and industrial exploitations of these new technologies to enable a highly efficient smart grid under decarbonisation,digitalisation,and decentralisation transitions.展开更多
The term Smart Grid has become a term to represent the benefits of a smart and sophisticated electrical grid, which can meet various social expectations related to sustainability and energy efficiency. The Smart Grid ...The term Smart Grid has become a term to represent the benefits of a smart and sophisticated electrical grid, which can meet various social expectations related to sustainability and energy efficiency. The Smart Grid promises to enable a better power management for energy utilities and consumers, to provide the ability to integrate the power grid, to support the development of micro grids, and to involve citizens in energy management with higher levels of responsibility. However, this context comes with potential pitfalls, such as vulnerabilities to cyber-security and privacy risks. In this article, a prospective study about energy management, and exploring critical issues of modeling of energy management systems in a context Smart. Grid is presented along with background of energy management systems. An analysis of the demand response condition is also presented. Finally, the advantages and disadvantages of the implementation of energy management systems, and a comparison with the Brazilian electricity system are discussed.展开更多
The design and optimization of smart factory architectures integrating the Internet of Things(IoT)and cloud computing have emerged as a crucial factor in enhancing the efficiency and agility of modern manufacturing sy...The design and optimization of smart factory architectures integrating the Internet of Things(IoT)and cloud computing have emerged as a crucial factor in enhancing the efficiency and agility of modern manufacturing systems.In the context of Industry 4.0,smart factories leverage advanced technologies such as IoT,cloud computing,artificial intelligence(AI),and data analytics to enable real-time decision-making,predictive maintenance,and optimization of resources.This paper presents an overview of a smart factory architecture that combines IoT devices,cloud platforms,and data integration layers to create a flexible,scalable,and efficient manufacturing system.The proposed architecture is designed to enhance operational performance,energy efficiency,and resource management while ensuring system scalability and flexibility to meet changing market demands.Additionally,the paper discusses key optimization techniques,including edge computing,predictive maintenance,and cloud-based analytics,which contribute to the overall effectiveness of smart factory operations.The integration of these technologies promises to deliver significant improvements in productivity,cost savings,and sustainability in manufacturing environments.展开更多
文摘Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.
文摘The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping how education is delivered,accessed,and experienced.These technologies enable personalized learning,optimize teaching processes,and make educational resources more accessible to learners worldwide.This paper examines the integration of these technologies into smart education systems,highlighting their applications,benefits,and challenges,and exploring their potential to bridge gaps in educational equity and inclusivity.
文摘Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.
文摘In the field of cloud computing, topics such as computing resource virtualization, differences between grid and cloud computing, relationship between high-performance computers and cloud computing centers, and cloud security and standards have attracted much research interest. This paper analyzes these topics and highlights that resource virtualization allows information services to be scalable, intensive, and specialized; grid computing involves using many computers for large-scale computing tasks, while cloud computing uses one platform for multiple services; high-performance computers may not be suitable for a cloud computing; security in cloud computing focuses on trust management between service suppliers and users; and based on the existing standards, standardization of cloud computing should focus on interoperability between services.
基金Supporting Project number(RSP2023R34)King Saud University,Riyadh,Saudi Arabia.
文摘Some of the significant new technologies researched in recent studies include BlockChain(BC),Software Defined Networking(SDN),and Smart Industrial Internet of Things(IIoT).All three technologies provide data integrity,confidentiality,and integrity in their respective use cases(especially in industrial fields).Additionally,cloud computing has been in use for several years now.Confidential information is exchanged with cloud infrastructure to provide clients with access to distant resources,such as computing and storage activities in the IIoT.There are also significant security risks,concerns,and difficulties associated with cloud computing.To address these challenges,we propose merging BC and SDN into a cloud computing platform for the IIoT.This paper introduces“DistB-SDCloud”,an architecture for enhanced cloud security for smart IIoT applications.The proposed architecture uses a distributed BC method to provide security,secrecy,privacy,and integrity while remaining flexible and scalable.Customers in the industrial sector benefit from the dispersed or decentralized,and efficient environment of BC.Additionally,we described an SDN method to improve the durability,stability,and load balancing of cloud infrastructure.The efficacy of our SDN and BC-based implementation was experimentally tested by using various parameters including throughput,packet analysis,response time,bandwidth,and latency analysis,as well as the monitoring of several attacks on the system itself.
文摘The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.
文摘Based on the large amount and variations of the power grid task as well as its requirement of real- time performance and economic benefit, we make a further improvement and expansion of IHA (Improved Heuristic Algorithm) on the combination of bionics in genetic engineering and evolution to solve the decomposing and scheduling problems. Firstly, we transform those complex decomposing problems into the operational optimal solution problem by IHA to decrease the rate of running into the local optimal solution [1]. In task scheduling, we classify the sub-tasks by the emergency degree for resource allocation, which not only largely reduces the calculation and resource cost but also improves working efficiency and the speed of execution [2]. Finally, we select optimal scheduling scheme by the Fitness function defined about time and cost.
基金This research work is accompanied with the financial support from the Council of Scientific and Industrial Research-HRDG EMR group under Senior Research Fellowship.
文摘Natural resources plays efficient contribution in the human world in the way of consuming energy resources for the daily life cycle.The main concerns rely on the transporting oil from refining to the consumer usages through different modes.In the transportation passages,its performances are calibrated in the robust manner through sensor network communication and the periodical pigging inspection on the pipeline system.This chapter enumerates about the layout of oil pipeline system and its sensor measurement and instrumentation deliberately placed on the long run pipelines.The evolution of smart grid application enhances this oil transportation in a much corporate band by accumulatively orienting the sensor network in the utilization of power resources.Further,through the wireless communication associated with the smart grid,the pigging inspection gauges are exploited in the desired geographical area with better power consumption.Existing research on communication technologies in SG is briefly overviewed with the main focus on Cloud computing approaches.In this paper,the Smart Grid architecture and its applications are focused on entire oil pipeline from inlet to distribution substations first.The Cloud Computing architecture is explained thoroughly.Then,Cloud Computing for Smart Grid applications are also introduced in terms of efficiency,security and usability.Cloud platforms technical and security protocols are analyzed.Finally,the inspection of oil pipeline system by receiving sensor data of smart pigs incorporated with the cloud computing technique associated with smart grid application is elaborated with its SCADA hierarchical architecture.Further,simulation analysis of wireless sensor nodes with Flexmeter platform for power monitoring over smart pig case scenario is also presented with its layer-wise characterization.
基金the 2020 University Innovation and Entrepreneurship Project of Guangdong University of Foreign Studies.
文摘Economic Management Professional Academic Education are increasingly becoming personalization,intelligence and application.Colleges and universities should actively use cloud computing and big data.Also Internet of Things and other advanced information technologies to build an economics and management ERP virtual simulation experiment teaching platform.Cloud computing and big data,virtual simulation experiment teaching resources with"resource library+project library+enterprise management simulation sandbox training"as the core can build an online and offline collaborative and practical experiment teaching platform.It is expected to achieve the ideal effect of integration of three spaces.Such as physics and resources and social digital teaching.Moreover,it can also benefit human-computer collaboration and interactive teaching and inquiry learning.
基金This work was supported by the National Natural Science Foundation of China(61871058).
文摘A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control technologies.These technologies make the power grid reliable,efficient,and economical.However,the smartness boosts the volume of data in the smart grid.To obligate full benefits,big data has attractive techniques to process and analyze smart grid data.This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid.The offered framework comprises of the following four layers:(i)Data source layer,(ii)Data transmission layer,(iii)Data storage and computing layer,and(iv)Data analysis layer.As a proof of concept,the framework is simulated by taking the dataset of three cities of the Pakistan region and by considering two cloud-based data centers.The results are analyzed by taking into account the following parameters:(i)Heavy load data center,(ii)The impact of peak hour,(iii)High network delay,and(iv)The low network delay.The presented framework may help the power grid to achieve reliability,sustainability,and cost-efficiency for both the users and service providers.
文摘This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained to give the reader a clearer understanding on the complexity of the platform. Following this, several security issues and countermeasures are also discussed to show the major issues and obstacles that Cloud Computing faces as it is being implemented further. The major part of countermeasures focuses on Intrusion Detection Systems. Moving towards Mobile Cloud Computing and Internet of Things, this survey paper gives a general explanation on the applications and potential that comes with the integration of Cloud Computing with any device that has Internet connectivity as well as the challenges that are before it.
文摘This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.
文摘Cloud computing is a type of emerging computing technology that relies on shared computing resources rather than having local servers or personal devices to handle applications. It is an emerging technology that provides services over the internet: Utilizing the online services of different software. Many works have been carried out and various security frameworks relating to the security issues of cloud computing have been proposed in numerous ways. But they do not propose a quantitative approach to analyze and evaluate privacy and security in cloud computing systems. In this research, we try to introduce top security concerns of cloud computing systems, analyze the threats and propose some countermeasures for them. We use a quantitative security risk assessment model to present a multilayer security framework for the solution of the security threats of cloud computing systems. For evaluating the performance of the proposed security framework we have utilized an Own-Cloud platform using a 64-bit quad-core processor based embedded system. Own-Cloud platform is quite literally as any analytics, machine learning algorithms or signal processing techniques can be implemented using the vast variety of Python libraries built for those purposes. In addition, we have proposed two algorithms, which have been deployed in the Own-Cloud for mitigating the attacks and threats to cloud-like reply attacks, DoS/DDoS, back door attacks, Zombie, etc. Moreover, unbalanced RSA based encryption is used to reduce the risk of authentication and authorization. This framework is able to mitigate the targeted attacks satisfactorily.
文摘Through analysis of cloud computing and characteristics, the paper described cloud computing infrastructure architecture. Mainly discusses cloud computing advantages in the use of the library and the use should pay attention to the problem, on this basis, we propose a cloud- based library information platform construction model to analyze the basic architecture of cloud computing, cloud-depth study calculated at the library information platform and database access patterns operating mode, and cloud computing future development and application prospects.
文摘The quantity and heterogeneity of intelligent energy generation and consumption terminals in the smart grid are increasing drastically over the years.These edge devices have created significant pressures on cloud computing(CC)system and centralised control for data storage and processing in realtime operation and control.The integration of edge computing(EC)can effectively alleviate the pressure and conduct real-time processing while ensuring data security.This paper conducts an extensive review of the EC-CC computing system and its application to the smart grid,which will integrate a vast number of dispersed devices.It first comprehensively describes the relationship among CC,fog computing(FC),and EC to provide a theoretical basis for the differentiation.It then introduces the architecture of the EC-CC computing system in the smart grid,where the architecture consists of both hardware structure and software platforms,and key technologies are introduced to support functionalities.Thereafter,the application to the smart grid is discussed across the whole supply chain,including energy generation,transportation(transmission and distribution networks),and consumption.Finally,future research opportunities and challenges of EC-CC while being applied to the smart grid are outlined.This paper can inform future research and industrial exploitations of these new technologies to enable a highly efficient smart grid under decarbonisation,digitalisation,and decentralisation transitions.
文摘The term Smart Grid has become a term to represent the benefits of a smart and sophisticated electrical grid, which can meet various social expectations related to sustainability and energy efficiency. The Smart Grid promises to enable a better power management for energy utilities and consumers, to provide the ability to integrate the power grid, to support the development of micro grids, and to involve citizens in energy management with higher levels of responsibility. However, this context comes with potential pitfalls, such as vulnerabilities to cyber-security and privacy risks. In this article, a prospective study about energy management, and exploring critical issues of modeling of energy management systems in a context Smart. Grid is presented along with background of energy management systems. An analysis of the demand response condition is also presented. Finally, the advantages and disadvantages of the implementation of energy management systems, and a comparison with the Brazilian electricity system are discussed.
文摘The design and optimization of smart factory architectures integrating the Internet of Things(IoT)and cloud computing have emerged as a crucial factor in enhancing the efficiency and agility of modern manufacturing systems.In the context of Industry 4.0,smart factories leverage advanced technologies such as IoT,cloud computing,artificial intelligence(AI),and data analytics to enable real-time decision-making,predictive maintenance,and optimization of resources.This paper presents an overview of a smart factory architecture that combines IoT devices,cloud platforms,and data integration layers to create a flexible,scalable,and efficient manufacturing system.The proposed architecture is designed to enhance operational performance,energy efficiency,and resource management while ensuring system scalability and flexibility to meet changing market demands.Additionally,the paper discusses key optimization techniques,including edge computing,predictive maintenance,and cloud-based analytics,which contribute to the overall effectiveness of smart factory operations.The integration of these technologies promises to deliver significant improvements in productivity,cost savings,and sustainability in manufacturing environments.
