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A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View

Authors:

Sukhpal Singh Gill,

Rajkumar BuyyaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 51, Issue 5

Article No.: 104, Pages 1 - 33

https://doi.org/10.1145/3241038

Published: 18 December 2018 Publication History

Abstract

The cloud-computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT)--based applications, the use of cloud services is increasing exponentially. The next generation of cloud computing must be energy efficient and sustainable to fulfill end-user requirements, which are changing dynamically. Presently, cloud providers are facing challenges to ensure the energy efficiency and sustainability of their services. The use of a large number of cloud datacenters increases cost as well as carbon footprints, which further affects the sustainability of cloud services. In this article, we propose a comprehensive taxonomy of sustainable cloud computing. The taxonomy is used to investigate the existing techniques for sustainability that need careful attention and investigation as proposed by several academic and industry groups. The current research on sustainable cloud computing is organized into several categories: application design, sustainability metrics, capacity planning, energy management, virtualization, thermal-aware scheduling, cooling management, renewable energy, and waste heat utilization. The existing techniques have been compared and categorized based on common characteristics and properties. A conceptual model for sustainable cloud computing has been presented along with a discussion on future research directions.

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Koca MAvcı İ(2024)Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS EvaluationSakarya University Journal of Computer and Information Sciences10.35377/saucis...1452049(173-186)Online publication date: 28-Jun-2024
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Highlights
- Proposes a Cuckoo Optimization based cloud resource scheduling technique (CRUZE).
Abstract
Minimizing the energy consumption of servers within cloud computing systems is of upmost importance to cloud providers toward reducing operational costs and enhancing service sustainability by consolidating services onto fewer active ...
Graphical Abstract

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Cloud Energy Broker: Towards SLA-Driven Green Energy Planning for IaaS Providers
HPCC '14: Proceedings of the 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 5

September 2019

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3271482

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering

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Publication History

Published: 18 December 2018

Accepted: 01 June 2018

Revised: 01 May 2018

Received: 01 January 2018

Published in CSUR Volume 51, Issue 5

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https://doi.org/10.1177/00202940231216543
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