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A wide range of cloud computing jobs are delay tolerant up to a predefined deadline. Existing IaaS services offer either high cost and high fulfillment ratio or low cost without fulfillment ratio guarantee, where the fulfillment ratio is the ratio of job execution time to the time between job submission and completion. Neither of the services represents a cost-effective way to exploit job elasticity...
In this work, we propose computing resource management system based on Xen VMM and multi-core system, called XenMVM. It adjusts the computing resource dynamically according to the actual workload generated by the applications running in the virtual machine to improve the resource utilization of the computer system. According to the shared L2 cache architecture of multi-core system, we propose the...
In this paper, we propose a scheme that manages the computational resource of virtual machines that are used to host high performance computing applications. Different from the static configuration methodology employed by the state-of-art virtual machine monitors, in our scheme, the virtual machines are automatically configured according to the actual load generated by the applications. NPB, HPL and...
Grid computing is becoming more and more attractive for coordinating large-scale heterogeneous resource sharing and problem solving. From the viewpoint of decentralization and interoperability, we add agent layer based on ChinaGrid support platform (CGSP) system services. By describing these agent technologies in detail, we prove that agents can be implemented in WSRF specification as a Web service...
Resource information service, as a key component of grid, is the basis of the resource allocation, resource performance evaluation and prediction. The validity of the resource information service directly influences the availability of the whole system. One of key points to make information service work well is the precise of the information collected, how to get the valid system information with...
The usability of peer-to-peer (P2P) systems depends on effective techniques to find and retrieve data. In this paper, we propose a scalable structure for P2P system, with hierarchical topology and an efficient resource location strategy. Furthermore, performance evaluation for the propose search strategy by comparing with flooding scheme and k-walker random walk are also provided
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