Sustainable dynamic application hosting across geographically distributed data centers

Zahra Abbasi; Madhurima Pore; Georgios Varsamopoulos; Sandeep Gupta

doi:10.1007/978-1-4614-4975-1_5

Sustainable dynamic application hosting across geographically distributed data centers

Zahra Abbasi, Madhurima Pore, Georgios Varsamopoulos, Sandeep Gupta

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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	https://doi.org/10.1007/978-1-4614-4975-1_5
State	Published - Jan 1 2013

ASJC Scopus subject areas

General Engineering

Access to Document

10.1007/978-1-4614-4975-1_5

Cite this

@inbook{00507ba792c5455da498136412a7c5e6,

title = "Sustainable dynamic application hosting across geographically distributed data centers",

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.",

author = "Zahra Abbasi and Madhurima Pore and Georgios Varsamopoulos and Sandeep Gupta",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media New York 2013.",

year = "2013",

month = jan,

day = "1",

doi = "10.1007/978-1-4614-4975-1_5",

language = "English (US)",

isbn = "9781461449744",

pages = "117--148",

booktitle = "Design Technologies for Green and Sustainable Computing Systems",

publisher = "Springer New York",

}

TY - CHAP

T1 - Sustainable dynamic application hosting across geographically distributed data centers

AU - Abbasi, Zahra

AU - Pore, Madhurima

AU - Varsamopoulos, Georgios

AU - Gupta, Sandeep

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84956474165&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84956474165&partnerID=8YFLogxK

U2 - 10.1007/978-1-4614-4975-1_5

DO - 10.1007/978-1-4614-4975-1_5

M3 - Chapter

AN - SCOPUS:84956474165

SN - 9781461449744

SP - 117

EP - 148

BT - Design Technologies for Green and Sustainable Computing Systems

PB - Springer New York

ER -

Sustainable dynamic application hosting across geographically distributed data centers

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this