Paper Info
Title
Optimization-Based Workload Distribution In Geographically Distributed Data Centers: A Survey
Abstract
Energy efficiency is a contemporary and challenging issue in geographically distributed data centers. These data centers consume significantly high energy and cast a negative impact on the energy resources and environment. To minimize the energy cost and the environmental impacts, Internet service providers use different approaches such as geographical load balancing (GLB). GLB refers to the placement of data centers in diverse geolocations to exploit variations in electricity prices with the objective to minimize the total energy cost. GLB helps to minimize the overall energy cost, achieve quality of service, and maximize resource utilization in geo-distributed data centers by employing optimal workload distribution and resource utilization in the real time. In this paper, we summarize various optimization-based workload distribution strategies and optimization techniques proposed in recent research works based on commonly used optimization factors such as workload type, load balancer, availability of renewable energy, energy storage, and data center server specification in geographically distributed data centers. The survey presents a systemized and a novel taxonomy of workload distribution in data centers. Moreover, we also debate various challenges and open research issues along with their possible solutions.
Year
DOI
Venue
2020
10.1002/dac.4453
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Keywords
DocType
Volume
cloud computing, energy efficiency, geographical load balancing, workload distribution
Journal
33
Issue
ISSN
Citations 
12
1074-5351
1
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Iftikhar Ahmad115627.06
Muhammad Imran Khan Khalil210.34
Syed Adeel Ali Shah3845.89