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 language | English (US) |
|---|---|
| Title of host publication | Design Technologies for Green and Sustainable Computing Systems |
| Publisher | Springer New York |
| Pages | 117-148 |
| Number of pages | 32 |
| ISBN (Electronic) | 9781461449751 |
| ISBN (Print) | 9781461449744 |
| DOIs | |
| State | Published - Jan 1 2013 |
ASJC Scopus subject areas
- General Engineering
Fingerprint
Dive into the research topics of 'Sustainable dynamic application hosting across geographically distributed data centers'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS