A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) wo...

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Bibliographic Details
Published in:Computing Vol. 98; no. 7; pp. 751 - 774
Main Authors: Hameed, Abdul, Khoshkbarforoushha, Alireza, Ranjan, Rajiv, Jayaraman, Prem Prakash, Kolodziej, Joanna, Balaji, Pavan, Zeadally, Sherali, Malluhi, Qutaibah Marwan, Tziritas, Nikos, Vishnu, Abhinav, Khan, Samee U., Zomaya, Albert
Format: Journal Article
Language:English
Published: Vienna Springer Vienna 01.07.2016
Springer Nature B.V
Subjects:
Allocations
Analysis
Artificial Intelligence
Carbon
Cloud computing
Computer Appl. in Administrative Data Processing
Computer Communication Networks
Computer Science
Costs
Electricity
Energy
Energy consumption
Energy Efficiency
energy efficient resource allocation
Energy management
Information Systems Applications (incl.Internet)
Information technology
Laboratories
Networks
Policies
power management
Quality of service
Resource allocation
Servers
Software
Software Engineering
Studies
Taxonomy
Workloads
Cloud computing
Energy consumption
Energy efficiency
Energy efficient resource allocation
Power management
68U01
ISSN:0010-485X, 1436-5057
Online Access:Get full text
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Summary:In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) workloads having contentious allocation requirements in terms of ICT resource capacities (e.g., network bandwidth, processing speed, response time, etc.). Several recent papers have tried to address the issue of improving energy efficiency in allocating cloud resources to applications with varying degree of success. However, to the best of our knowledge there is no published literature on this subject that clearly articulates the research problem and provides research taxonomy for succinct classification of existing techniques. Hence, the main aim of this paper is to identify open challenges associated with energy efficient resource allocation. In this regard, the study, first, outlines the problem and existing hardware and software-based techniques available for this purpose. Furthermore, available techniques already presented in the literature are summarized based on the energy-efficient research dimension taxonomy. The advantages and disadvantages of the existing techniques are comprehensively analyzed against the proposed research dimension taxonomy namely: resource adaption policy, objective function, allocation method, allocation operation, and interoperability.
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USDOE
AC05-76RL01830
PNNL-SA-120845
ISSN:0010-485X
1436-5057
DOI:10.1007/s00607-014-0407-8