Sustainable dynamic application hosting across geographically distributed data centers

Zahra Abbasi, Madhurima Pore, Georgios Varsamopoulos, Sandeep Gupta

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Geographical appLication/WorkLoad Placement (GLP) shifts workload toward data centers that offer lower electricity price or green energy at a given time. Despite being advantageous, it is challenging mostly because of (i) applications' migration overhead, (ii) prediction errors of workload and renewable over a large prediction window, (iii) the non energy proportionality of servers, and (iv) the physical limitations of batteries. This chapter accounts for general problem statement of GLP through developing a cost optimization problem and discusses the challenges and existing solutions. Further, we perform a simulation study to show the effectiveness of GLP towards sustainability of data centers.

Original languageEnglish (US)
Title of host publicationDesign Technologies for Green and Sustainable Computing Systems
PublisherSpringer New York
Pages117-148
Number of pages32
ISBN (Print)9781461449751, 9781461449744
DOIs
StatePublished - Jan 1 2013

ASJC Scopus subject areas

  • Engineering(all)

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    Abbasi, Z., Pore, M., Varsamopoulos, G., & Gupta, S. (2013). Sustainable dynamic application hosting across geographically distributed data centers. In Design Technologies for Green and Sustainable Computing Systems (pp. 117-148). Springer New York. https://doi.org/10.1007/978-1-4614-4975-1_5