The goal of this paper focuses on the development of dew computing, including its origins, research status, development status,and its impact on the transition history of Internet computing paradigms. By gathering and...The goal of this paper focuses on the development of dew computing, including its origins, research status, development status,and its impact on the transition history of Internet computing paradigms. By gathering and studying all the research papers related to dew computing that we are aware of, we found that these papers can be classified into three groups: dew computing early explorations, dew computing feature research, and dew computing application research. Commercial development in the dew computing area also has progressed fast recently; many dew computing products were developed and put into the market. To distinguish dew computing from other Internet computing paradigms and to reveal its essential features, we analyze the transition history of the Internet computing paradigms from information location and distribution aspects. Online impact and redundancy rate are two indices introduced to perform the analysis. The analysis reveals that dew computing is significantly different from other Internet computing paradigms.展开更多
The Internet is undergoing a tremendous change towards the globalized computing environment. Due to the open, dynamic and uncontrollable natures of the Internet, software running in the Internet computing environment ...The Internet is undergoing a tremendous change towards the globalized computing environment. Due to the open, dynamic and uncontrollable natures of the Internet, software running in the Internet computing environment has some new features, which bring challenges to current software technologies in terms of software model, software operating platform, software engineering approaches and software quality. Researchers in China have proposed the term ＂Internetware＂ to present the emerging software paradigm. Sponsored by the National Basic Research 973 Program, several research practices have been done on the Internetware in the past decade. This paper summarizes the progress and status of the Internetware researches. A technical solution framework for the Internetware paradigm is proposed from four aspects： the Internetware software model defines what the Internetware is to be; the Internetware middleware determines how to run the Internetware applications; the engineering methodology determines how to develop the Internetware applications; the Internetware quality assurance determines how well the Internetware applications can perform. The paper also discusses the ongoing research issues and future trends of Internetware.展开更多
Load-time series data in mobile cloud computing of Internet of Vehicles(IoV)usually have linear and nonlinear composite characteristics.In order to accurately describe the dynamic change trend of such loads,this study...Load-time series data in mobile cloud computing of Internet of Vehicles(IoV)usually have linear and nonlinear composite characteristics.In order to accurately describe the dynamic change trend of such loads,this study designs a load prediction method by using the resource scheduling model for mobile cloud computing of IoV.Firstly,a chaotic analysis algorithm is implemented to process the load-time series,while some learning samples of load prediction are constructed.Secondly,a support vector machine(SVM)is used to establish a load prediction model,and an improved artificial bee colony(IABC)function is designed to enhance the learning ability of the SVM.Finally,a CloudSim simulation platform is created to select the perminute CPU load history data in the mobile cloud computing system,which is composed of 50 vehicles as the data set;and a comparison experiment is conducted by using a grey model,a back propagation neural network,a radial basis function(RBF)neural network and a RBF kernel function of SVM.As shown in the experimental results,the prediction accuracy of the method proposed in this study is significantly higher than other models,with a significantly reduced real-time prediction error for resource loading in mobile cloud environments.Compared with single-prediction models,the prediction method proposed can build up multidimensional time series in capturing complex load time series,fit and describe the load change trends,approximate the load time variability more precisely,and deliver strong generalization ability to load prediction models for mobile cloud computing resources.展开更多
Mobile cloud computing（MCC） combines mobile Internet and cloud computing to improve the performance of mobile applications. However, MCC faces the problem of energy efficiency because of randomly varying channels. A...Mobile cloud computing（MCC） combines mobile Internet and cloud computing to improve the performance of mobile applications. However, MCC faces the problem of energy efficiency because of randomly varying channels. A scheduling algorithm is proposed by introducing the Lyapunov optimization, which can dynamically choose users to transmit data based on queue backlog and channel statistics. The Lyapunov analysis shows that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in the channel-aware mobile cloud computing system. The simulation results verify the effectiveness of the proposed algorithm.展开更多
Under the background of big data, artificial intelligence, mobile internet, cloud computing and real economy, this paper firstly analyzes the logic of IT technology's impact on financial management, and points out...Under the background of big data, artificial intelligence, mobile internet, cloud computing and real economy, this paper firstly analyzes the logic of IT technology's impact on financial management, and points out that the backward and unbalanced development of financial management information level of small and medium-sized enterprises in Wenzhou will seriously restrict the subsequent development of enterprises. It is proposed to build a three-party linkage information reform technology and fund support platform with government, professional institutions and enterprises. The platform will be promoted by government-led implementation in different levels and categories, and the internal training and external recruitment of enterprise information talents will be strengthened, so as to form an information reform ecosystem promoted by government, society and enterprises.展开更多
Mobile agent has shown its promise as a powerful means to complement and enhance existing technology in various application areas. In particular, existing work has demonstrated that MA can simplify the development and...Mobile agent has shown its promise as a powerful means to complement and enhance existing technology in various application areas. In particular, existing work has demonstrated that MA can simplify the development and improve the performance of certain classes of distributed applications, especially for those running on a wide-area, heterogeneous, and dynamic networking environment like the Internet. In our previous work, we extended the application of MA to the design of distributed control functions, which require the maintenance of logical relationship among and/or coordination of processing entities in a distributed system. A novel framework is presented for structuring and building distributed systems, which use cooperating mobile agents as an aid to carry out coordination and cooperation tasks in distributed systems. The framework has been used for designing various distributed control functions such as load balancing and mutual ex- clusion in our previous work. In this paper, we use the framework to propose a novel approach to detecting deadlocks in distributed system by using mobile agents, which demonstrates the advantage of being adaptive and flexible of mobile agents. We first describe the MAEDD （Mobile Agent Enabled Deadlock Detection） scheme, in which mobile agents are dispatched to collect and analyze deadlock information distributed across the network sites and, based on the analysis, to detect and resolve deadlocks. Then the design of an adaptive hybrid algorithm derived from the framework is presented. The algorithm can dynamically adapt itself to the changes in system state by using different deadlock detection strategies. The performance of the proposed algorithm has been evaluated using simulations. The results show that the algorithm can outperform existing algorithms that use a fixed deadlock detection strategy.展开更多
The Internet Accessible Mathematical Computation (IAMC) framework aims to make it easy to supply mathematical computing powers over the Internet/Web. The protocol-based IAMC framework enables developers to create inte...The Internet Accessible Mathematical Computation (IAMC) framework aims to make it easy to supply mathematical computing powers over the Internet/Web. The protocol-based IAMC framework enables developers to create interoperable clients and servers easily and independently. Presented are conceptual and experimental work on the IAMC framework architecture and major components: the Mathematical Computation Protocol (MCP), a client prototype (Dragonfly), a server prototype (Starfish), a mathematical encoding converter (XMEC), and an open mathematical compute engine interface (OMEI).展开更多
Software coordination is central to the construction of large-scale high-performance distributed applications with software services scattered over the decentralized Internet. In this paper, a new mobile-agent-based a...Software coordination is central to the construction of large-scale high-performance distributed applications with software services scattered over the decentralized Internet. In this paper, a new mobile-agent-based architecture is proposed for the utilization and coordination of geographically distributed computing resources. Under this architecture, a user application is built with a set of software agents that can travel across the network autonomously. These agents utilize the distributed resources and coordinate with each other to complete their task. This approach' s advantages include the natural expression and flexible deployment of the coordination logic, the dynamic adaptation to the network environment and the potential of better application performance. This coordination architecture, together with an object-oriented hierarchical parallel application framework and a graphical application construction tool, is implemented in the HOOPE environment, which provides a systematic support for the development and execution of Internet-based distributed and parallel applications in the petroleum exploration industry.展开更多
Purpose-The purpose of this paper is to proposes a forward search algorithm for detecting and identifying natural structures arising in human-computer interaction(HCI)and human physiological response(HPR)data.Design/m...Purpose-The purpose of this paper is to proposes a forward search algorithm for detecting and identifying natural structures arising in human-computer interaction(HCI)and human physiological response(HPR)data.Design/methodology/approach-The paper portrays aspects that are essential to modelling and precision in detection.The methods involves developed algorithm for detecting outliers in data to recognise natural patterns in incessant data such as HCI-HPR data.The detected categorical data are simultaneously labelled based on the data reliance on parametric rules to predictive models used in classification algorithms.Data were also simulated based on multivariate normal distribution method and used to compare and validate the original data.Findings-Results shows that the forward search method provides robust features that are capable of repelling over-fitting in physiological and eye movement data.Research limitations/implications-One of the limitations of the robust forward search algorithm is that when the number of digits for residuals value is more than the expected size for stack flow,it normally yields an error caution;to counter this,the data sets are normally standardized by taking the logarithmic function of the model before running the algorithm.Practical implications-The authors conducted some of the experiments at individual residence which may affect environmental constraints.Originality/value-The novel approach to this method is the detection of outliers for data sets based on the Mahalanobis distances on HCI and HPR.And can also involve a large size of data with p possible parameters.The improvement made to the algorithm is application of more graphical display and rendering of the residual plot.展开更多
文摘The goal of this paper focuses on the development of dew computing, including its origins, research status, development status,and its impact on the transition history of Internet computing paradigms. By gathering and studying all the research papers related to dew computing that we are aware of, we found that these papers can be classified into three groups: dew computing early explorations, dew computing feature research, and dew computing application research. Commercial development in the dew computing area also has progressed fast recently; many dew computing products were developed and put into the market. To distinguish dew computing from other Internet computing paradigms and to reveal its essential features, we analyze the transition history of the Internet computing paradigms from information location and distribution aspects. Online impact and redundancy rate are two indices introduced to perform the analysis. The analysis reveals that dew computing is significantly different from other Internet computing paradigms.
基金sponsored by the National Basic Research 973 Program of China under Grant No.2009CB320700the National Natural Science Foundation of China under Grant No.60821003
文摘The Internet is undergoing a tremendous change towards the globalized computing environment. Due to the open, dynamic and uncontrollable natures of the Internet, software running in the Internet computing environment has some new features, which bring challenges to current software technologies in terms of software model, software operating platform, software engineering approaches and software quality. Researchers in China have proposed the term ＂Internetware＂ to present the emerging software paradigm. Sponsored by the National Basic Research 973 Program, several research practices have been done on the Internetware in the past decade. This paper summarizes the progress and status of the Internetware researches. A technical solution framework for the Internetware paradigm is proposed from four aspects： the Internetware software model defines what the Internetware is to be; the Internetware middleware determines how to run the Internetware applications; the engineering methodology determines how to develop the Internetware applications; the Internetware quality assurance determines how well the Internetware applications can perform. The paper also discusses the ongoing research issues and future trends of Internetware.
基金This work was supported by Shandong medical and health science and technology development plan project(No.202012070393).
文摘Load-time series data in mobile cloud computing of Internet of Vehicles(IoV)usually have linear and nonlinear composite characteristics.In order to accurately describe the dynamic change trend of such loads,this study designs a load prediction method by using the resource scheduling model for mobile cloud computing of IoV.Firstly,a chaotic analysis algorithm is implemented to process the load-time series,while some learning samples of load prediction are constructed.Secondly,a support vector machine(SVM)is used to establish a load prediction model,and an improved artificial bee colony(IABC)function is designed to enhance the learning ability of the SVM.Finally,a CloudSim simulation platform is created to select the perminute CPU load history data in the mobile cloud computing system,which is composed of 50 vehicles as the data set;and a comparison experiment is conducted by using a grey model,a back propagation neural network,a radial basis function(RBF)neural network and a RBF kernel function of SVM.As shown in the experimental results,the prediction accuracy of the method proposed in this study is significantly higher than other models,with a significantly reduced real-time prediction error for resource loading in mobile cloud environments.Compared with single-prediction models,the prediction method proposed can build up multidimensional time series in capturing complex load time series,fit and describe the load change trends,approximate the load time variability more precisely,and deliver strong generalization ability to load prediction models for mobile cloud computing resources.
基金supported by the National Natural Science Foundation of China(61173017)the National High Technology Research and Development Program(863 Program)(2014AA01A701)
文摘Mobile cloud computing（MCC） combines mobile Internet and cloud computing to improve the performance of mobile applications. However, MCC faces the problem of energy efficiency because of randomly varying channels. A scheduling algorithm is proposed by introducing the Lyapunov optimization, which can dynamically choose users to transmit data based on queue backlog and channel statistics. The Lyapunov analysis shows that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in the channel-aware mobile cloud computing system. The simulation results verify the effectiveness of the proposed algorithm.
文摘Under the background of big data, artificial intelligence, mobile internet, cloud computing and real economy, this paper firstly analyzes the logic of IT technology's impact on financial management, and points out that the backward and unbalanced development of financial management information level of small and medium-sized enterprises in Wenzhou will seriously restrict the subsequent development of enterprises. It is proposed to build a three-party linkage information reform technology and fund support platform with government, professional institutions and enterprises. The platform will be promoted by government-led implementation in different levels and categories, and the internal training and external recruitment of enterprise information talents will be strengthened, so as to form an information reform ecosystem promoted by government, society and enterprises.
文摘Mobile agent has shown its promise as a powerful means to complement and enhance existing technology in various application areas. In particular, existing work has demonstrated that MA can simplify the development and improve the performance of certain classes of distributed applications, especially for those running on a wide-area, heterogeneous, and dynamic networking environment like the Internet. In our previous work, we extended the application of MA to the design of distributed control functions, which require the maintenance of logical relationship among and/or coordination of processing entities in a distributed system. A novel framework is presented for structuring and building distributed systems, which use cooperating mobile agents as an aid to carry out coordination and cooperation tasks in distributed systems. The framework has been used for designing various distributed control functions such as load balancing and mutual ex- clusion in our previous work. In this paper, we use the framework to propose a novel approach to detecting deadlocks in distributed system by using mobile agents, which demonstrates the advantage of being adaptive and flexible of mobile agents. We first describe the MAEDD （Mobile Agent Enabled Deadlock Detection） scheme, in which mobile agents are dispatched to collect and analyze deadlock information distributed across the network sites and, based on the analysis, to detect and resolve deadlocks. Then the design of an adaptive hybrid algorithm derived from the framework is presented. The algorithm can dynamically adapt itself to the changes in system state by using different deadlock detection strategies. The performance of the proposed algorithm has been evaluated using simulations. The results show that the algorithm can outperform existing algorithms that use a fixed deadlock detection strategy.
文摘The Internet Accessible Mathematical Computation (IAMC) framework aims to make it easy to supply mathematical computing powers over the Internet/Web. The protocol-based IAMC framework enables developers to create interoperable clients and servers easily and independently. Presented are conceptual and experimental work on the IAMC framework architecture and major components: the Mathematical Computation Protocol (MCP), a client prototype (Dragonfly), a server prototype (Starfish), a mathematical encoding converter (XMEC), and an open mathematical compute engine interface (OMEI).
基金This work was supported by the National Natural Science Foundation for Excellent Young Scientists of China the National 863 High-Technology Program and Beijing Global Software Corporation.
文摘Software coordination is central to the construction of large-scale high-performance distributed applications with software services scattered over the decentralized Internet. In this paper, a new mobile-agent-based architecture is proposed for the utilization and coordination of geographically distributed computing resources. Under this architecture, a user application is built with a set of software agents that can travel across the network autonomously. These agents utilize the distributed resources and coordinate with each other to complete their task. This approach' s advantages include the natural expression and flexible deployment of the coordination logic, the dynamic adaptation to the network environment and the potential of better application performance. This coordination architecture, together with an object-oriented hierarchical parallel application framework and a graphical application construction tool, is implemented in the HOOPE environment, which provides a systematic support for the development and execution of Internet-based distributed and parallel applications in the petroleum exploration industry.
基金And also the Petroleum Technology Develop Fund Nigeria(PTDF)for sponsoring this research.
文摘Purpose-The purpose of this paper is to proposes a forward search algorithm for detecting and identifying natural structures arising in human-computer interaction(HCI)and human physiological response(HPR)data.Design/methodology/approach-The paper portrays aspects that are essential to modelling and precision in detection.The methods involves developed algorithm for detecting outliers in data to recognise natural patterns in incessant data such as HCI-HPR data.The detected categorical data are simultaneously labelled based on the data reliance on parametric rules to predictive models used in classification algorithms.Data were also simulated based on multivariate normal distribution method and used to compare and validate the original data.Findings-Results shows that the forward search method provides robust features that are capable of repelling over-fitting in physiological and eye movement data.Research limitations/implications-One of the limitations of the robust forward search algorithm is that when the number of digits for residuals value is more than the expected size for stack flow,it normally yields an error caution;to counter this,the data sets are normally standardized by taking the logarithmic function of the model before running the algorithm.Practical implications-The authors conducted some of the experiments at individual residence which may affect environmental constraints.Originality/value-The novel approach to this method is the detection of outliers for data sets based on the Mahalanobis distances on HCI and HPR.And can also involve a large size of data with p possible parameters.The improvement made to the algorithm is application of more graphical display and rendering of the residual plot.
