Bibliographic Details
| Title: |
Towards Energy Saving in Computational Clouds: Taxonomy, Review, and Open Challenges |
| Authors: |
Qaisar Shaheen, Muhammad Shiraz, Suleman Khan, Rabia Majeed, Mohsen Guizani, Nawsher Khan, Ali M. Aseere |
| Source: |
IEEE Access, Vol 6, Pp 29407-29418 (2018) |
| Publisher Information: |
IEEE, 2018. |
| Publication Year: |
2018 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Energy effecticient techniques, scheduling, cloud computing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
Cloud Computing involves utilization of centralized computing resources and services, including remote servers, storage, programs, and usages which minimize the power utilization of the client assets. Therefore, it is extremely important to accomplish energy efficiency of cloud computing. Virtualization is used to set up a foundation for the execution part as the heart of energy effective cloud. Virtualization incorporates certain advancements, such as consolidation and resource utilization. A number of techniques, such as DVFS virtualization as well as teleportation can be used by empowering the tasks of multiple virtual types of equipment to a single server to increase the vitality proficiency of datacenters. The objective of this review is to analyze contemporary for energy as well as performance management, vitality for effective data centers and resource distributions. Our review will address the latest issues researchers have addressed in energy as well as management of performance in recent years. We will take a closer look at these existing techniques based on tools, OS, virtualization, and datacenter stages taxonomy. Finally, a performance comparison of existing techniques is presented that can assist in identifying gaps for future research in this area. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/8375088/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2018.2833551 |
| Access URL: |
https://doaj.org/article/7888e929ad1e4b75b3f86e68e92cd924 |
| Accession Number: |
edsdoj.7888e929ad1e4b75b3f86e68e92cd924 |
| Database: |
Directory of Open Access Journals |
