Computational grids （CGs） aim to offer pervasive access to a diverse collection of geographically distributed resources owned by different serf-interested agents or organizations. These agents may manipulate the res...Computational grids （CGs） aim to offer pervasive access to a diverse collection of geographically distributed resources owned by different serf-interested agents or organizations. These agents may manipulate the resource allocation algorithm in their own benefit, and their selfish behavior may lead to severe performance degradation and poor efficiency. In this paper, game theory is introduced to solve the problem of barging for resource collection in heterogeneous distributed systems. By using the Cournot model that is an important model in static and complete information games, the algorithm is optimized in order to maximize the benefit. It can be seen that the approach is more suitable to the real situation and has practical use. Validity of the solutions is shown.展开更多
A new modern resource management method based on economic model is proposed. Giving mathematic description about economic model; analysis different resource scheduling methods based on deadline and budget constrained ...A new modern resource management method based on economic model is proposed. Giving mathematic description about economic model; analysis different resource scheduling methods based on deadline and budget constrained which present by Buyya, point out shortcoming of Buyya's schedule method. Considerate integrate factor of time and budget, by import a weight coefficient named a , puts forward a new resource schedule method named STPP based on economic models of Buyya. Contrast to old schedule strategy of Buyya through analysis and experiments, STPP policy is more flexible, and is easy to import other new QoS parameters.展开更多
Grid technique is taken as the third generation internet technology and resource management is the core of it. Aiming at the problems of resource management of CEDAGrid （China Earthquake Disaster Alleviation and Simu...Grid technique is taken as the third generation internet technology and resource management is the core of it. Aiming at the problems of resource management of CEDAGrid （China Earthquake Disaster Alleviation and Simulation Grid） in its preliminary construction, this paper presents a resource management and job scheduling model： ProRMJS to solve these problems. For platform supposed agreeably each computing node can provide computation service, ProRMJS uses ＂computation pool＂ to support scheduler, and then the scheduler allocates jobs dynamically according to computing capability and status of each node to ensure the stability of the platform. At the same time, ProRMJS monitors the status of job on each node and sets a time threshold to manage the job scheduling. By estimating the computing capability of each node, ProRMJS allocates jobs on demand to solve the problem of supposing each node can finish the job acquiescently. When calculating the computing capability of each node, ProRMJS allows for the various factors that affect the computing capability and then the efficiency of the platform is improved. Finally the validity of the model is verified by an example.展开更多
随着物联网(Internet of Things,IoT)和5G的发展,智能电网对低延迟、高可靠的数据通信需求不断增加。文章探讨了智能边缘计算在智能电网通信中的应用与部署,涵盖智能电表数据采集和电力设备监控与维护等场景。通过优化智能边缘计算节点...随着物联网(Internet of Things,IoT)和5G的发展,智能电网对低延迟、高可靠的数据通信需求不断增加。文章探讨了智能边缘计算在智能电网通信中的应用与部署,涵盖智能电表数据采集和电力设备监控与维护等场景。通过优化智能边缘计算节点的选址、硬件配置和网络架构设计,实现数据本地化处理和实时上传,减少数据传输延迟和网络负载。此外,文章从计算资源分配优化、任务调度与资源分配优化、数据传输优化等3方面提出了性能优化方法。通过实验验证,文章提出的智能边缘计算在智能电网中的应用部署与性能优化方法提升了数据处理效率和系统可靠性,展现出重要的应用价值。展开更多
基金Project supported by the Science Foundation of Shanghai Municipal Commission of Science and Technology(Grant No.00JC14052)
文摘Computational grids （CGs） aim to offer pervasive access to a diverse collection of geographically distributed resources owned by different serf-interested agents or organizations. These agents may manipulate the resource allocation algorithm in their own benefit, and their selfish behavior may lead to severe performance degradation and poor efficiency. In this paper, game theory is introduced to solve the problem of barging for resource collection in heterogeneous distributed systems. By using the Cournot model that is an important model in static and complete information games, the algorithm is optimized in order to maximize the benefit. It can be seen that the approach is more suitable to the real situation and has practical use. Validity of the solutions is shown.
基金This work is supported by the 863 High-Tcch Project （No. 2004AA104340）, the National Natural Science Foundation of China （No. 60173026） and SEC E-Institute： Shanghai High Institutions Grid （No. 200301-1）.
文摘A new modern resource management method based on economic model is proposed. Giving mathematic description about economic model; analysis different resource scheduling methods based on deadline and budget constrained which present by Buyya, point out shortcoming of Buyya's schedule method. Considerate integrate factor of time and budget, by import a weight coefficient named a , puts forward a new resource schedule method named STPP based on economic models of Buyya. Contrast to old schedule strategy of Buyya through analysis and experiments, STPP policy is more flexible, and is easy to import other new QoS parameters.
基金Project "Seismic Data Share" from Ministry of Science and Technology of China.
文摘Grid technique is taken as the third generation internet technology and resource management is the core of it. Aiming at the problems of resource management of CEDAGrid （China Earthquake Disaster Alleviation and Simulation Grid） in its preliminary construction, this paper presents a resource management and job scheduling model： ProRMJS to solve these problems. For platform supposed agreeably each computing node can provide computation service, ProRMJS uses ＂computation pool＂ to support scheduler, and then the scheduler allocates jobs dynamically according to computing capability and status of each node to ensure the stability of the platform. At the same time, ProRMJS monitors the status of job on each node and sets a time threshold to manage the job scheduling. By estimating the computing capability of each node, ProRMJS allocates jobs on demand to solve the problem of supposing each node can finish the job acquiescently. When calculating the computing capability of each node, ProRMJS allows for the various factors that affect the computing capability and then the efficiency of the platform is improved. Finally the validity of the model is verified by an example.
文摘随着物联网(Internet of Things,IoT)和5G的发展,智能电网对低延迟、高可靠的数据通信需求不断增加。文章探讨了智能边缘计算在智能电网通信中的应用与部署,涵盖智能电表数据采集和电力设备监控与维护等场景。通过优化智能边缘计算节点的选址、硬件配置和网络架构设计,实现数据本地化处理和实时上传,减少数据传输延迟和网络负载。此外,文章从计算资源分配优化、任务调度与资源分配优化、数据传输优化等3方面提出了性能优化方法。通过实验验证,文章提出的智能边缘计算在智能电网中的应用部署与性能优化方法提升了数据处理效率和系统可靠性,展现出重要的应用价值。
文摘网格下的资源分配属于NP-难问题.为了更好地解决这个问题,文中首先提出了网格资源分配模型,并对资源个数与任务个数的三种不同情况进行了详细的分析,最后提出基于并行基因表达式编程的网格资源分配算法(Grid Resource Allocation Algorithm based on Parallel GEP,GRA-PGEP).该算法采用了基于资源与任务相关的非线性的编码方式和反转操作,同时应用粗粒度模型设计了该算法.仿真实验表明,GRA-PGEP算法在优化成功率、平均收敛代数以及耗时方面都要优于传统的GEP和GA算法.
