There are many cases when an organization needs to monitor the data and operations of its super-vised departments, especially those departments which are not owned by this organization and are managed by their own inf...There are many cases when an organization needs to monitor the data and operations of its super-vised departments, especially those departments which are not owned by this organization and are managed by their own information systems. Distributed Heterogeneous Inspecting System (DHIS) is the system an organization uses to monitor its supervised departments by inspecting their information systems. In DHIS, the inspected systems are generally distributed, heterogeneous, and constructed by different companies. DHIS has three key processes-abstracting core data sets and core operation sets, collecting these sets, and inspecting these collected sets. In this paper, we present the concept and mathematical definition of DHIS, a metadata method for solving the interoperability, a security strategy for data transferring, and a middleware-based solution of DHIS. We also describe an example of the inspecting system at WENZHOU custom.展开更多
This paper presents a domain-specific middleware definition for petroleum exploration and production(E&P)domain on personal view.With detailed introduction of PetroCOVERY architecture,we examine some key features ...This paper presents a domain-specific middleware definition for petroleum exploration and production(E&P)domain on personal view.With detailed introduction of PetroCOVERY architecture,we examine some key features about E&P middleware and evaluate its architecture.E&P middleware should tier different encapsulation layers.展开更多
In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new gener...In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new generation. In addition to this model, we define remote server objects as session or entity objects according to their roles in a distributed application server, which separate information details from business operations for software reuse. A web store system is implement by using this multi-tier distributed object enterprise computing model.展开更多
Based on a proposed Web service-based grid architecture, a service grid middleware system called CROWN is designed in this paper. As the two kernel points of the middleware, the overlay-based distributed grid resource...Based on a proposed Web service-based grid architecture, a service grid middleware system called CROWN is designed in this paper. As the two kernel points of the middleware, the overlay-based distributed grid resource management mechanism is proposed, and the policy-based distributed access control mechanism with the capability of automatic negotiation of the access control policy and trust management and negotiation is also discussed in this paper. Experience of CROWN testbed deployment and application development shows that the middleware can support the typical scenarios such as computing-intensive applications, data-intensive applications and mass information processing applications.展开更多
Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for tradition...Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for traditional standalone storage systems,such as I/O and file system capacity.However,the existing distributed storage system does not consider where data is consumed and is more focused on data dissemination and optimizing the lookup cost of data location.And this leads to system performance degradation due to low locality occurring in a Wide Area Network(WAN)environment with high network latency.This problem hinders deploying distributed storage systems to multiple data centers over WAN.It lowers the scalability of distributed storage systems to accommodate data storage needs.This paper proposes a method for distributing data in a WAN environment considering network latency and data locality to solve this problem and increase overall system performance.The proposed distributed storage method monitors data utilization and locality to classify data temperature as hot,warm,and cold.With assigned data temperature,the proposed algorithm adaptively selects the appropriate data center and places data accordingly to overcome the excess latency from the WAN environment,leading to overall system performance degradation.This paper also conducts simulations to evaluate the proposed and existing distributed storage methods.The result shows that our proposed method reduced latency by 38%compared to the existing method.Therefore,the proposed method in this paper can be used in large-scale distributed storage systems over a WAN environment to improve latency and performance compared to existing methods,such as consistent hashing.展开更多
The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of ...The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of autoadapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automaticallyin the framework and keep in relatively good performance to serve requests of remoteapplications. It is an efficient way to implement the performance transparency formobile clients.展开更多
为解决数据中心在电力-算力联合市场与低碳配电网协同规划中的问题,提出了一种多目标区间-随机优化方法。通过引入算力租赁机制,优化了资源利用效率与经济效益,同时降低了运营成本与碳排放。针对协同规划中的多目标优化与高维不确定性问...为解决数据中心在电力-算力联合市场与低碳配电网协同规划中的问题,提出了一种多目标区间-随机优化方法。通过引入算力租赁机制,优化了资源利用效率与经济效益,同时降低了运营成本与碳排放。针对协同规划中的多目标优化与高维不确定性问题,设计了一种基于分解的自适应约束处理区间多目标进化算法—采用两种交叉策略(adaptive constraint-handling interval multi-objective evolutionary algorithm based on decomposition with two crossover strategies,ACIMOEA/D-TCS)。该算法能够高效求解帕累托前沿,提供鲁棒性和可行性兼具的优化方案。结果表明,数据中心参与算力市场显著提高了资源利用效率和经济效益,同时有效降低了碳排放。通过对算力资源租赁与配电系统运行的优化,所提模型在经济和环境效益方面取得显著提升,为电力-算力联合市场下的协同规划问题提供了新的理论方法与解决方案。展开更多
文摘There are many cases when an organization needs to monitor the data and operations of its super-vised departments, especially those departments which are not owned by this organization and are managed by their own information systems. Distributed Heterogeneous Inspecting System (DHIS) is the system an organization uses to monitor its supervised departments by inspecting their information systems. In DHIS, the inspected systems are generally distributed, heterogeneous, and constructed by different companies. DHIS has three key processes-abstracting core data sets and core operation sets, collecting these sets, and inspecting these collected sets. In this paper, we present the concept and mathematical definition of DHIS, a metadata method for solving the interoperability, a security strategy for data transferring, and a middleware-based solution of DHIS. We also describe an example of the inspecting system at WENZHOU custom.
文摘This paper presents a domain-specific middleware definition for petroleum exploration and production(E&P)domain on personal view.With detailed introduction of PetroCOVERY architecture,we examine some key features about E&P middleware and evaluate its architecture.E&P middleware should tier different encapsulation layers.
文摘In this paper, we adopt Java platform to achieve a multi-tier distributed object enterprise computing model which provides an open, flexible, robust and cross-platform standard for enterprise applications of new generation. In addition to this model, we define remote server objects as session or entity objects according to their roles in a distributed application server, which separate information details from business operations for software reuse. A web store system is implement by using this multi-tier distributed object enterprise computing model.
文摘Based on a proposed Web service-based grid architecture, a service grid middleware system called CROWN is designed in this paper. As the two kernel points of the middleware, the overlay-based distributed grid resource management mechanism is proposed, and the policy-based distributed access control mechanism with the capability of automatic negotiation of the access control policy and trust management and negotiation is also discussed in this paper. Experience of CROWN testbed deployment and application development shows that the middleware can support the typical scenarios such as computing-intensive applications, data-intensive applications and mass information processing applications.
基金This research was supported by the Chung-Ang University Graduate Research Scholarship in 2021.This study was carried out with the support of‘R&D Program for Forest Science Technology(Project No.2021338C10-2223-CD02)’provided by Korea Forest Service(Korea Forestry Promotion Institute).
文摘Recently,research on a distributed storage system that efficiently manages a large amount of data has been actively conducted following data production and demand increase.Physical expansion limits exist for traditional standalone storage systems,such as I/O and file system capacity.However,the existing distributed storage system does not consider where data is consumed and is more focused on data dissemination and optimizing the lookup cost of data location.And this leads to system performance degradation due to low locality occurring in a Wide Area Network(WAN)environment with high network latency.This problem hinders deploying distributed storage systems to multiple data centers over WAN.It lowers the scalability of distributed storage systems to accommodate data storage needs.This paper proposes a method for distributing data in a WAN environment considering network latency and data locality to solve this problem and increase overall system performance.The proposed distributed storage method monitors data utilization and locality to classify data temperature as hot,warm,and cold.With assigned data temperature,the proposed algorithm adaptively selects the appropriate data center and places data accordingly to overcome the excess latency from the WAN environment,leading to overall system performance degradation.This paper also conducts simulations to evaluate the proposed and existing distributed storage methods.The result shows that our proposed method reduced latency by 38%compared to the existing method.Therefore,the proposed method in this paper can be used in large-scale distributed storage systems over a WAN environment to improve latency and performance compared to existing methods,such as consistent hashing.
文摘The low bandwidth hinders the development of mobile computing.Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of autoadapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automaticallyin the framework and keep in relatively good performance to serve requests of remoteapplications. It is an efficient way to implement the performance transparency formobile clients.
文摘为解决数据中心在电力-算力联合市场与低碳配电网协同规划中的问题,提出了一种多目标区间-随机优化方法。通过引入算力租赁机制,优化了资源利用效率与经济效益,同时降低了运营成本与碳排放。针对协同规划中的多目标优化与高维不确定性问题,设计了一种基于分解的自适应约束处理区间多目标进化算法—采用两种交叉策略(adaptive constraint-handling interval multi-objective evolutionary algorithm based on decomposition with two crossover strategies,ACIMOEA/D-TCS)。该算法能够高效求解帕累托前沿,提供鲁棒性和可行性兼具的优化方案。结果表明,数据中心参与算力市场显著提高了资源利用效率和经济效益,同时有效降低了碳排放。通过对算力资源租赁与配电系统运行的优化,所提模型在经济和环境效益方面取得显著提升,为电力-算力联合市场下的协同规划问题提供了新的理论方法与解决方案。
