A cost-capacity analysis for assessing the efficiency of heterogeneous computing assets in an enterprise cloud

Jesus Omana Iglesias, Philip Perry, Nicola Stokes, James Thorburn, Liam Murphy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Cloud providers and organizations with a large IT infrastructure manage evolving sets of hardware resources that are subject to continual change. As existing computing assets age, newer, more capable and more efficient ones are generally acquired. Significant variability of hardware components leads to inefficient use of computing assets within the organization. We claim that only a detailed understanding of the whole infrastructure will lead to significant optimizations and savings. In this paper we report results on a dataset of 1,171 assets from two different data centers, on which we present a thorough analysis of how the costs of running a computing asset are related to its resource capacity (i.e., CPU and RAM). This analysis is formalized in a cost model that could be used by organizations to make an optimal decision with regards to which computing assets should migrate their workload (i.e. should be disconnected or discarded) and which ones should receive such workload.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013
PublisherIEEE Computer Society
Pages107-114
Number of pages8
ISBN (Print)9780769551524
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013 - Dresden, Saxony, Germany
Duration: 9 Dec 201312 Dec 2013

Conference

Conference2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013
CountryGermany
CityDresden, Saxony
Period9/12/1312/12/13

Keywords

  • Benchmark
  • Capacity Planning
  • Efficiency
  • Heterogeneous Cloud Environment
  • Utilization Costs

Fingerprint Dive into the research topics of 'A cost-capacity analysis for assessing the efficiency of heterogeneous computing assets in an enterprise cloud'. Together they form a unique fingerprint.

  • Cite this

    Iglesias, J. O., Perry, P., Stokes, N., Thorburn, J., & Murphy, L. (2013). A cost-capacity analysis for assessing the efficiency of heterogeneous computing assets in an enterprise cloud. In Proceedings - 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013 (pp. 107-114). [6809346] IEEE Computer Society. https://doi.org/10.1109/UCC.2013.32