In this paper we present results from test and quantitative analysis of leading hypervisors Xen, Kvm and Vmware. Our test comparison was carried out using benchmarks which can performance on the overall performance, p...
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In this paper we present results from test and quantitative analysis of leading hypervisors Xen, Kvm and Vmware. Our test comparison was carried out using benchmarks which can performance on the overall performance, performance isolation, and scalability of virtual machines running on these three hypervisors. To compare, we need to measure the efficiency of the virtualization technologies. We define efficiency equal to performance and scalability. These benchmarks make the results follow the SPEC and TPC standard and easily repeatable .Our goals are to understand how the different architectural decisions taken by different hypervisor developers affect the resulting hypervisors, help hypervisor developers realize areas of improvement for their hypervisors, and to help users make informed decisions about their choice of hypervisor.
Any mistaken maintenance for the complicated and distributed grid can bring unpredictable disaster. Here we focus on the system availability issues caused by service dependencies during the maintenance in grid. A nove...
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With the development of gridtechnology, grid gains more popularity that ever and a variety of grid middlewares come into being. However, most of grid middlewares are developed by their own, and it's not easy to i...
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With the development of gridtechnology, grid gains more popularity that ever and a variety of grid middlewares come into being. However, most of grid middlewares are developed by their own, and it's not easy to interoperate these grid platforms. Existing grid interoperability projects mainly resorts to case-by-case mechanism, which is simple but of poor scalability. Job management is the core and the most complex components of grid system. To realize the interoperability of heterogeneous grids, the interoperation of heterogeneous job managements must be addressed In the paper, a plugin based job interoperation mechanism for heterogeneous grid systems, called PBJIM, is proposed, which is based on the idea of virtualization and plug-in *** are two well-established grid systems in China,Chinagrid and China National grid, and they are built with two different grid middlewares, CGSP and VEGA. Via PBJIM, the interoperation of job management of these two grid systems is achieved.
This paper proposes a grid-based Distributed Simulation Platform (GDSP). It is designed to break the limitation of legacy simulation supporting platform and to meet new requirements from large-scale, distributed, and ...
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This paper proposes a grid-based Distributed Simulation Platform (GDSP). It is designed to break the limitation of legacy simulation supporting platform and to meet new requirements from large-scale, distributed, and complicated systems. Simulation services are encapsulated by using web services technology, and they are basic elements of GDSP. With gridtechnology, GDSP enables users to share, access, and operate remote resource transparently. It is also easier to organize and manage simulation resources. GDSP improves the capability of fault tolerance and provides mechanism of using simulation resources securely. The research result shows that through this management mechanism, multiple users can share and monitor RTI resources, and manage the simulation collaboratively and effectively. At the same time, the impact on real time of RTI caused by the system is minimum.
Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods us...
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Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods use fine-grained incremental computation to avoid full re-mining after each update, which improves speed but often overlooks potential gains from examining inter-update interactions holistically, thus missing out on overall efficiency *** this paper, we introduce Cheetah, a dynamic graph mining system that processes updates in a coarse-grained manner by leveraging exploration domains. These domains exploit the community structure of real-world graphs to uncover data reuse opportunities typically missed by existing approaches. Exploration domains, which encapsulate extensive portions of the graph relevant to updates, allow multiple updates to explore the same regions efficiently. Cheetah dynamically constructs these domains using a management module that identifies and maintains areas of redundancy as the graph changes. By grouping updates within these domains and employing a neighbor-centric expansion strategy, Cheetah minimizes redundant data accesses. Our evaluation of Cheetah across five real-world datasets shows it outperforms current leading systems by an average factor of 2.63 ×.
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