MABP： an optimal resource allocation approach in data center networks

In data center networks, resource allocation based on workload is an effective way to allocate the infrastructure resources to diverse cloud applications and satisfy the quality of service for the users, which refers to mapping a large number of workloads provided by cloud users/tenants to substrate...

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Bibliographic Details
Published in:Science China. Information sciences 2014-10, Vol.57 (10), p.226-241
Main Authors: Li, XiaoLing, Wang, HuaiMin, Ding, Bo, Li, XiaoYong
Format: Article
Language:English
Subjects:
Cloud computing
Computer Science
Constraint modelling
Data centers
Heuristic methods
Information Systems and Communication Service
Mapping
Optimization
Research Paper
Resource allocation
Substrates
Workload
优化配置方法
工作负载
数据中心
服务提供商
服务质量
约束优化问题
网络
资源分配问题
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Summary:In data center networks, resource allocation based on workload is an effective way to allocate the infrastructure resources to diverse cloud applications and satisfy the quality of service for the users, which refers to mapping a large number of workloads provided by cloud users/tenants to substrate network provided by cloud providers. Although the existing heuristic approaches are able to find a feasible solution, the quality of the solution is not guaranteed. Concerning this issue, based on the minimum mapping cost, this paper solves the resource allocation problem by modeling it as a distributed constraint optimization problem. Then an efficient approach is proposed to solve the resource allocation problem, aiming to find a feasible solution and ensuring the optimality of the solution. Finally, theoretical analysis and extensive experiments have demonstrated the effectiveness and efficiency of our proposed approach.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-014-5164-y