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Joint study on VMs deployment, assignment and migration in geographically distributed data centers
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作者 Chuang LIN Min YAO Yin LI 《Frontiers of Computer Science》 SCIE EI CSCD 2016年第3期559-573,共15页
Enterprises build private clouds to provide IT re- sources for geographically distributed subsidiaries or prod- uct divisions. Public cloud providers like Amazon lease their platforms to enterprise users, thus, enterp... Enterprises build private clouds to provide IT re- sources for geographically distributed subsidiaries or prod- uct divisions. Public cloud providers like Amazon lease their platforms to enterprise users, thus, enterprises can also rent a number of virtual machines (VMs) from their data centers in the service provider networks. Unfortunately, the network cannot always guarantee stable connectivity for their clients to access the VMs or low-latency transfer among data centers. Usually, both latency and bandwidth are in unstable network environment. Being affected by background traffics, the net- work status can be volatile. To reduce the latency uncertainty of client accesses, enterprises should consider the network status when they deploy data centers or rent virtual data cen- ters from cloud providers. In this paper, we first develop a data center deployment and assignment scheme for an enter- prise to meet its users' requirements under uncertain network status. To accommodate to the changes of the network status and users' demands, a VMs migration-based redeployment scheme is adopted. These two schemes work in a joint way, and lay out a framework to help enterprises make better use of private or public clouds. 展开更多
关键词 data center deployment VMs migration Min-Max stochastic optimization
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Research on the dynamic management of cloud simulation derived data
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作者 Zongshao Che Chun Zhao +1 位作者 Yuanjun Laili Lin Zhang 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2017年第3期135-158,共24页
Cloud simulation derived data is defined as the data related to service version,characteristics,relationships,runtime environments and cross-domain communication during service execution in cloud simulation environmen... Cloud simulation derived data is defined as the data related to service version,characteristics,relationships,runtime environments and cross-domain communication during service execution in cloud simulation environment,collectively.It is of great value and significance in cloud simulation for service description,service composition and resource management.The types of derived data are abundant and the amount of it is huge.Existing studies on cloud simulation usually assume all of the derived data required for a specific task is well organized and available anytime,which is of course impossible.Derived data needs to be expressed and managed in terms of knowledge to make sure the smooth execution of cloud simulation platform.Therefore,this paper presents a derived data management method in cloud simulation platform to enable derived data collection and dynamic knowledge storage.The prototype system of the proposed method are established and a virtual prototype of double girder crane is taken as an example to verify the effectiveness of the method. 展开更多
关键词 Cloud simulation derived data data collector deployment non-relational database knowledge storage
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