Energy-efficient Nature-Inspired techniques in Cloud computing datacenters-Reference-Cited by-同舟云学术

Energy-efficient Nature-Inspired techniques in Cloud computing datacenters

Published:2019-02-22 Issue:2 Volume:71 Page:275-302
ISSN:1018-4864
Container-title:Telecommunication Systems
language:en
Short-container-title:Telecommun Syst

Author:

Usman Mohammed Joda^ORCID,Ismail Abdul Samad,Abdul-Salaam Gaddafi,Chizari Hassan,Kaiwartya Omprakash,Gital Abdulsalam Yau,Abdullahi Muhammed,Aliyu Ahmed,Dishing Salihu Idi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s11235-019-00549-9/fulltext.html

Reference106 articles.

1. Foster, I., et al. (2008). Cloud computing and grid computing 360-degree compared. In 2008 Grid computing environments workshop. 2008. IEEE.

2. Beloglazov, A., Abawajy, J., & Buyya, R. (2012). Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems, 28(5), 755–768.

3. Jiang, D., Xu, Z., & Lv, Z. (2016). A multicast delivery approach with minimum energy consumption for wireless multi-hop networks. Telecommunication Systems, 62(4), 771–782.

4. Jiang, D., et al. (2016). Energy-efficient multi-constraint routing algorithm with load balancing for smart city applications. IEEE Internet of Things Journal, 3(6), 1437–1447.

5. Buyya, R., Yeo, C. S., & Venugopal, S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. In High performance computing and communications, 2008. HPCC’08. 10th IEEE international conference on. 2008. IEEE.

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects;PeerJ Computer Science;2024-06-17

2. Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm;Cluster Computing;2024-04-12

3. Energy-Efficient Task Scheduling Using a Novel Metaheuristics Approach in Cloud Data Centers;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

4. A Dual-Objective Approach for Allocation of Virtual Machine with improved Job Scheduling in Cloud Computing;The International Arab Journal of Information Technology;2024-01-01

5. A Survey on the Moving to Green Communications Networks;2023 International Conference on Information Technology and Computing (ICITCOM);2023-12-01