Fuzzy Decoupling Energy Efficiency Optimization Algorithm in Cloud Computing Environment

2021 ◽  
Vol 14 (2) ◽  
pp. 52-69
Author(s):  
Xiaohong Wang
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Optimization Algorithm ◽  
Computing System ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Efficiency Optimization ◽  
Cloud Computing System ◽  
Computing Performance

With the vigorous development of information technology, cloud computing, as a distributed computing technology, has become a research hotspot in the industry. The cloud computing system has a huge resource pool. In order to meet user-specific quality of service requests, it needs to perform reasonable scheduling of various tasks. Under the premise of ensuring high computing performance and better service quality in the cloud computing environment, system energy efficiency optimization has become a key issue to be promoted in the promotion of cloud computing. The research purpose of this paper is to study the fuzzy decoupling energy efficiency optimization algorithm in cloud computing environment. This paper designs a fuzzy decoupling energy efficiency optimization scheme.

Resource Schedule Algorithm Based on Artificial Fish Swarm in Cloud Computing Environment

2014 ◽  
Vol 635-637 ◽  
pp. 1614-1617 ◽  
Author(s):  
Hong Wei Zhao ◽  
Li Wei Tian
Keyword(s):  
Cloud Computing ◽  
Main Idea ◽  
Schedule Algorithm ◽  
Computing System ◽  
Computing Environment ◽  
Swarm Optimization ◽  
Cloud Computing Environment ◽  
Resource Schedule ◽  
Cloud Computing System ◽  
Artificial Fish Swarm

Cloud computing needs to manage a large number of computing resources, while resources scheduling strategy plays a key role in determining the efficiency of cloud computing. evolutionary algorithms (EA) as appropriate tools to optimize multi-objective problems have been applied to optimize Resources Scheduling of cloud computing ,However, studies on improving the convergence ratio and processing time in the most applied algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) in Resources Scheduling domains remain poorly understood. the resource schedule algorithmbased on Artificial Fish Swarm Optimization(AFSA) for Cloud Computing Environment has been designed and implemented after the study on the resource schedule of Cloud Computing. The main idea of improved AFSA is to extend Fish Swarm Optimization to the interacting swarms model by cooperative Models . The improved AFSA probability analysis indicates that searching solution is much more efficient and speeds up the multi-swarm to converge to the global optimum.Finally, the result of the experiment indicates that the scheduling system can improve the efficiency of dispatching resource and the utilization ratio in the Cloud Computing system.

Design of Cloud Computing Environment for Online Open Course

2014 ◽  
Vol 687-691 ◽  
pp. 2867-2870 ◽  
Author(s):  
Xiao Yong Zhao ◽  
Chun Rong Yang
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Security Analysis ◽  
Computing System ◽  
System Structure ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Computing System ◽  
Traditional Mode ◽  
Open Courses

The rise of Massive Open Online Course (MOOC) has enabled open courses to overcome the shortcomings of its traditional mode. Interactions and communications have become important elements in online open courses right now. Cloud computing is a new platform for MOOC development, which is extension of the distribution computing, the parallel computing and the grid computing, settling the problem of various resource sharing. In this paper, the design of cloud computing environments is showed with the cloud computing system structure, network security analysis of cloud computing, and map-reduce program mode, which forms the model of cloud computing environment.

A Dynamic Dispatching Method of Resource in Cloud Computing Environment

2011 ◽  
Vol 418-420 ◽  
pp. 1060-1063
Author(s):  
Hong Wei Zhao ◽  
Yan Ning Zhu ◽  
Yi Chuan Shao
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Comprehensive Service ◽  
Cloud Computing System ◽  
Service Distribution ◽  
Balanced Distribution ◽  
Dynamic Dispatching ◽  
Utilization Ratio

In order to implement the balanced distribution in Cloud Computing system and to improve the utilization ratio of the resource as well as handling up rate of the system, the system of dynamic dispatching system based on Cloud Computing has been designed and implemented after the study on the Cloud Computing. Firstly, a layered loading balancing scheduling mode has been proposed, providing the structure of the dispatching service system. Secondly, a comprehensive service distribution algorithm has been designed and implemented in consideration of respective local service counts, each join points’ performance, current load distribution and semantic. Finally, the result of the experiment indicates that the scheduling system can improve the efficiency of dispatching service and the utilization ratio in the Cloud Computing system.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

scholarly journals Service Level Agreement Violation Preventive Task Scheduling for Quality of Service Delivery in Cloud Computing Environment

2020 ◽  
Vol 178 ◽  
pp. 375-385
Author(s):  
Ismail Zahraddeen Yakubu ◽  
Zainab Aliyu Musa ◽  
Lele Muhammed ◽  
Badamasi Ja’afaru ◽  
Fatima Shittu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Delivery ◽  
Task Scheduling ◽  
Service Level Agreement ◽  
Service Level ◽  
Computing Environment ◽  
Cloud Computing Environment

Energy efficiency for cloud computing system based on predictive optimization

2017 ◽  
Vol 102 ◽  
pp. 103-114 ◽  
Author(s):  
Dinh-Mao Bui ◽  
YongIk Yoon ◽  
Eui-Nam Huh ◽  
SungIk Jun ◽  
Sungyoung Lee
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Computing System ◽  
Cloud Computing System

Research on Cloud Computing Environment Energy Saving Optimization Method

2014 ◽  
Vol 1049-1050 ◽  
pp. 2122-2125
Author(s):  
Hong Li Li
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Saving ◽  
Data Center ◽  
Optimization Method ◽  
Computing Environment ◽  
Computing Technology ◽  
Cloud Computing Environment

In this paper, the background of cloud computing technology to study how to optimize cloud computing data center energy efficiency mechanisms. This paper analyzes the DVFS energy saving strategy, virtualization energy saving strategy, turn off / on energy saving strategies, such as the current mainstream strategy, comparing different energy saving strategies have not applied scenes.

Sign in / Sign up

Export Citation Format

Share Document