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在云计算资源管理-Resource Management in Cloud Computing

论文作者:英语论文论文属性:课程作业 Coursework登出时间:2014-04-15编辑:caribany点击率:9456

论文字数:3969论文编号:org201404151339167488语种:英语 English地区:英国价格:免费论文

关键词:Cloud Computing云计算Resource Management资源管理resource calculation

摘要:本报告对云计算资源管理的某些文件进行审查。四种类型的资源管理,资源分配,资源计算,资源配置和资源的发现和选择,进行了描述。

在云计算资源管理-Resource Management in Cloud Computing


Abstract  摘要

This paper reviews certain papers on resource management in cloud computing. Algorithms and frameworks in resource allocation, resource calculation, resource provisioning, resource discovery and selection are described and summarized.
本文综述了云计算的资源管理。算法和资源分配,资源计算,资源配置,资源发现和选择的框架进行了描述和总结。


1Introduction  引言


Resource Management is critical in cloud computing. With improper resource management, applications might experience network congestion, long time wait, CPU waist, overused CPU and memory, and security problems. To maximized cloud computing infrastructure utilization and minimize total cost of both the cloud computing infrastructure and running applications, resources need to be managed properly.
资源管理是云计算的关键。不当的资源管理,应用程序可能会遇到网络拥堵,很长一段时间的等待,过度使用CPU和内存,以及安全问题。为了最大化提高云计算基础设施的利用率,并尽量减少双方的云计算基础架构和运行应用程序的总成本,资源需要进行适当的管理。


In this report, certain papers on resource management in cloud computing are reviewed. Four types of resource management, resource allocation, resource calculation, resource provisioning and resource discovery and selection, are described.
在这份报告中,对云计算资源管理的某些文件进行审查。四种类型的资源管理,资源分配,资源计算,资源配置和资源的发现和选择,进行了描述。


2Problems of Resource Management  资源管理的问题


In cloud computing, the underlying large-scale computing infrastructure is often heterogeneous, not only because it’s not economic and reliable to procure all the servers, network devices and power supply devices in one size and one time, but because different application requires different computer hardware, e.g. workflow extensive computing might need standard and cheep hardware; scientific computing might need specific hardware other than CPU like GPU or ASIC.

There are kinds of resources in the large-scale computing infrastructure need to be managed, CPU load, network bandwidth, disk quota, and even type of operating systems. To provide better quality of service, resources are provisioned to the users or applications, via load balancing mechanism, high availability mechanism and security and authority mechanism. To maximize cloud utilization, the capacity of application requirements shall be calculated so that minimal cloud computing infrastructure devices shall be procured and maintained. Given access to the cloud computing infrastructure, applications shall allocate proper resources to perform the computation with time cost and infrastructure cost minimized. Proper resources shall be selected for specific applications. In other words, resource management in cloud computing is categorized into four types, resource allocation, resource calculation, resource provisioning and resource discovery and selection.

3Resource Management Review  资源管理评论


Distributed resource management has become a research topic since (Injong 1995), in which resource allocation in distributed systems are formulated as three kinds: the dining philosophers problem, the drinking philosophers problem and the dynamic resource allocation problem.

3.1Resource Allocation
In a distributed computing environment, e.g. a distributed cloud application based on the CORBA infrastructure, resource allocation (Ca论文英语论文网提供整理,提供论文代写英语论文代写代写论文代写英语论文代写留学生论文代写英文论文留学生论文代写相关核心关键词搜索。

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