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首页> 外文会议>2011 3rd International Conference on Electronics Computer Technology >Perspective study on resource level load balancing in grid computing environments
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Perspective study on resource level load balancing in grid computing environments

机译：网格计算环境中资源级负载平衡的透视研究

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Load Balancing and Resource Management are the challenging tasks in the Computing infrastructure. These two tasks are interdependent. Well defined computing infrastructure may reach through a Blue Print is called GRID. Even advance Resource Management algorithms may suffer due to improper load distribution among the available resources in the Grid environment. Load balancing algorithm plays important role in the resource management and also gives much impact in the performance point of view. Load balance is a mechanism which equally spreads the load. It minimizes the response time and improves the resource utilization rate. Resource utilization is a common basement to achieve the overall efficiency in the Grid environment. Rejection Rate is one of the important factors in identifying the performance of resource in the Grid environment. Static and dynamic load balancing also discussed in this paper. Both balancing methods are having pros and cons. For the discussion, two important factors have been considered here, Utilization and Rejection Rate. This paper gives survey on existing and emerging load balance techniques in the structured grid computing and also a comparison table is provided. Also discussions about existing solutions and making efforts in load balancing to address the new challenges in grid computing environments are made.
机译：负载平衡和资源管理是计算基础架构中具有挑战性的任务。这两个任务是相互依存的。定义明确的计算基础结构可能会通过“蓝图”到达，称为GRID。由于网格环境中可用资源之间的负载分配不正确，即使是高级资源管理算法也可能会受到影响。负载平衡算法在资源管理中起着重要的作用，并且在性能方面也产生了很大的影响。负载平衡是一种平均分配负载的机制。它最大程度地缩短了响应时间，提高了资源利用率。资源利用是在Grid环境中实现整体效率的通用基础。拒绝率是确定网格环境中资源性能的重要因素之一。本文还讨论了静态和动态负载平衡。两种平衡方法各有利弊。为了进行讨论，这里考虑了两个重要因素：利用率和拒绝率。本文对结构化网格计算中现有和新兴的负载平衡技术进行了调查，并提供了一个比较表。还讨论了有关现有解决方案以及在负载平衡方面做出的努力，以应对网格计算环境中的新挑战。

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