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Resource Management in Clouds: Survey and Research Challenges

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Abstract

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 .

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Notes

  1. A notable exception is the ability for an End User to configure the behavior of certain non-delay sensitive, computation focussed distributed applications, for example those based on the MapReduce framework.

  2. The New York Times, in an article from September 2012 [79] quotes findings by Koomey [131] estimating that in 2010 data centers accounted for between 1.1 and 1.5 % of worldwide electricity use; for the US the estimate was between 1.7 and 2.2 %.

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Acknowledgments

We are grateful to colleagues who provided helpful comments and suggestions regarding this work, specifically: David Breitgand (IBM Research), Shane Dempsey (Arc Mediation), Lei Shi (WIT) and Fetahi Wuhib (Ericsson Research). This work was partially funded by Science Foundation Ireland via Grants 08/SRC/I1403 and 08/SRC/I1403-STTF11 and by the European Commission via FP7 Grant No. 612480.

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  1. TSSG, Waterford Institute of Technology, Waterford, Ireland

    Brendan Jennings

  2. ACCESS Linnæus Center, KTH Royal Institute of Technology, Stockholm, Sweden

    Rolf Stadler

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Jennings, B., Stadler, R. Resource Management in Clouds: Survey and Research Challenges. J Netw Syst Manage 23, 567–619 (2015). https://doi.org/10.1007/s10922-014-9307-7

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