A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud

Sareh Fotuhi Piraghaj; Amir Vahid Dastjerdi; Rodrigo N. Calheiros; Rajkumar Buyya

doi:10.4018/978-1-5225-0759-8.ch017

A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud

Sareh Fotuhi Piraghaj, Amir Vahid Dastjerdi, Rodrigo N. Calheiros, Rajkumar Buyya

Western Sydney University

Research output: Chapter in Book / Conference Paper › Chapter

19 Citations (Scopus)

Abstract

The numerous advantages of cloud computing environments, including scalability, high availability, and cost effectiveness have encouraged service providers to adopt the available cloud models to offer solutions. This rise in cloud adoption, in return encourages platform providers to increase the underlying capacity of their data centers so that they can accommodate the increasing demand of new customers. Increasing the capacity and building large-scale data centers has caused a drastic growth in energy consumption of cloud environments. The energy consumption not only affects the Total Cost of Ownership but also increases the environmental footprint of data centers as CO2 emissions increases. Hence, energy and power efficiency of the data centers has become an important research area in distributed systems. In order to identify the challenges in this domain, this chapter surveys and classifies the energy efficient resource management techniques specifically focused on the PaaS cloud service models.

Original language	English
Title of host publication	Handbook of Research on End-to-end Cloud Computing Architecture Design
Editors	Jianwen Chen, Yan Zhang, Ron Gottschalk
Place of Publication	U.S.
Publisher	IGI Global
Pages	410-454
Number of pages	45
ISBN (Electronic)	9781522507604
ISBN (Print)	9781522507598
DOIs	https://doi.org/10.4018/978-1-5225-0759-8.ch017
Publication status	Published - 2017

Keywords

cloud computing
energy consumption

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4018/978-1-5225-0759-8.ch017

Cite this

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A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud. / Piraghaj, Sareh Fotuhi; Dastjerdi, Amir Vahid; Calheiros, Rodrigo N. et al.
Handbook of Research on End-to-end Cloud Computing Architecture Design. ed. / Jianwen Chen; Yan Zhang; Ron Gottschalk. U.S.: IGI Global, 2017. p. 410-454.

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud

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AU - Dastjerdi, Amir Vahid

AU - Calheiros, Rodrigo N.

AU - Buyya, Rajkumar

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AB - The numerous advantages of cloud computing environments, including scalability, high availability, and cost effectiveness have encouraged service providers to adopt the available cloud models to offer solutions. This rise in cloud adoption, in return encourages platform providers to increase the underlying capacity of their data centers so that they can accommodate the increasing demand of new customers. Increasing the capacity and building large-scale data centers has caused a drastic growth in energy consumption of cloud environments. The energy consumption not only affects the Total Cost of Ownership but also increases the environmental footprint of data centers as CO2 emissions increases. Hence, energy and power efficiency of the data centers has become an important research area in distributed systems. In order to identify the challenges in this domain, this chapter surveys and classifies the energy efficient resource management techniques specifically focused on the PaaS cloud service models.

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KW - energy consumption

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M3 - Chapter

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BT - Handbook of Research on End-to-end Cloud Computing Architecture Design

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A2 - Gottschalk, Ron

PB - IGI Global

CY - U.S.

ER -

A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud

Abstract

Keywords

UN SDGs

Access to Document

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