Resource Management in Clouds: Survey and Research Challenges

被引:323
作者
Jennings, Brendan [1 ]
Stadler, Rolf [2 ]
机构
[1] Waterford Inst Technol, TSSG, Waterford, Ireland
[2] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Stockholm, Sweden
基金
爱尔兰科学基金会;
关键词
Cloud computing; Resource allocation; Resource management; Virtualization; Survey; VIRTUAL MACHINE MIGRATION; COST-AWARE ELASTICITY; DATA CENTERS; INTEGRATED APPROACH; PLACEMENT; POWER; ALLOCATION; NETWORK; CONSOLIDATION; MAPREDUCE;
D O I
10.1007/s10922-014-9307-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Resource management in a cloud environment is a hard problem, due to: the scale of modern data centers; the heterogeneity of resource types and their interdependencies; the variability and unpredictability of the load; as well as the range of objectives of the different actors in a cloud ecosystem. Consequently, both academia and industry began significant research efforts in this area. In this paper, we survey the recent literature, covering 250+ publications, and highlighting key results. We outline a conceptual framework for cloud resource management and use it to structure the state-of-the-art review. Based on our analysis, we identify five challenges for future investigation. These relate to: providing predictable performance for cloud-hosted applications; achieving global manageability for cloud systems; engineering scalable resource management systems; understanding economic behavior and cloud pricing; and developing solutions for the mobile cloud paradigm .
引用
收藏
页码:567 / 619
页数:53
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