High level QoS-driven model for Grid applications in a simulated environment

High level QoS-driven model for Grid applications in a simulated environment
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DOI:
10.1016/j.future.2011.06.013
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发表时间:
2012-07
期刊:
Future Gener. Comput. Syst.
影响因子:
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通讯作者:
Reda Albodour;Anne E. James;Norlaily Yaacob
Reda Albodour;Anne E. James;Norlaily Yaacob
中科院分区:
其他
文献类型:
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作者:
Reda Albodour;Anne E. James;Norlaily Yaacob

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本文提出了一种模型,高层次的服务质量(QoS)维护业务上下文域和相关的模拟结果,通过扩展的GridSim工具包。网格计算传统上与科学环境相联系,在科学环境中,异构资源被联网并用于执行计算密集型和数据密集型的科学实验或应用,这在以前可能是不可能的。自然的进展是,面向业务的应用程序将建立在这一成功,并利用大量的异构网格资源,潜在的可用性。将这些应用程序引入主流的成功与否直接关系到网格资源提供者是否能够向网格资源消费者(GRC)提供适当级别的QoS,以及GRC是否能够根据需要请求高级别的QoS,例如所需的CPU数量或所需的RAM。此外,我们提出了动态计算的指标,用于测量QoS,如可靠性,使用最新的资源信息。我们介绍了一种新的模型,商业网格服务质量(BGQoS),新一代的商业和面向业务的网格应用程序,可能希望利用网格环境。BGQoS允许GRCs指定不同类型的高级别QoS需求,这些需求通过查询最新的资源信息、匹配和监控操作来提供。此外,测试是必需的,这就带来了一个问题,即在物理网格测试平台上进行测试要么不切实际,要么在经济上不可行。因此,模拟很重要。
This paper presents a model for high-level Quality of Service (QoS) maintenance within business-context domains and associated simulation results achieved via an expansion of the GridSim toolkit. Grid Computing traditionally has been linked with scientific environments, where heterogeneous resources were networked and employed for carrying out compute-intensive and data-intensive scientific experiments or applications that may have not been possible before. The natural progression is that business-oriented applications will build on this success and utilise the large number of heterogeneous Grid resources, potentially available. The success of introducing these applications into the mainstream is directly related to whether Grid Resource Providers can deliver a suitable level of QoS to the Grid Resource Consumer (GRC) and the ability of the GRC to request high level QoS such as the numbers of CPUs required or the RAM required, on demand. Moreover, we present dynamically calculated metrics for measuring QoS such as reliability, using up-to-date information on resources. We introduce a novel model, Business Grid Quality of Service (BGQoS), for a new generation of commercial and business-oriented Grid applications which may wish to make use of Grid environments. BGQoS allows GRCs to specify varying types of high level QoS requirements which are delivered via querying up-to-date resource information, matchmaking and monitoring operations. In addition, testing is required and this has posed a problem where testing on physical Grid test-beds is either impractical or not viable economically. Simulation is therefore important.