Recent Advances in Energy Efficient Resource Management Techniques in Cloud Computing Environments
Niloofar Gholipour, Ehsan Arianyan, Rajkumar Buyya

TL;DR
This paper surveys recent energy-efficient resource management techniques in cloud computing, proposing a new taxonomy to classify existing solutions and identify future research directions in reducing energy consumption and environmental impact.
Contribution
It introduces a comprehensive taxonomy for energy-efficient cloud resource management and reviews research from 2015 to 2021, highlighting gaps and future opportunities.
Findings
Classified existing techniques based on the proposed taxonomy
Identified key research gaps and future directions
Mapped recent research to the taxonomy for clarity
Abstract
Nowadays cloud computing adoption as a form of hosted application and services is widespread due to decreasing costs of hardware, software, and maintenance. Cloud enables access to a shared pool of virtual resources hosted in large energy-hungry data centers for diverse information and communication services with dynamic workloads. The huge energy consumption of cloud data centers results in high electricity bills as well as emission of a large amount of carbon dioxide gas. Needless to say, efficient resource management in cloud environments has become one of the most important priorities of cloud providers and consequently has increased the interest of researchers to propose novel energy saving solutions. This chapter presents a scientific and taxonomic survey of recent energy efficient cloud resource management' solutions in cloud environments. The main objective of this study is to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Caching and Content Delivery
