Research on a Resource Discovery Mechanism in Cloud Computing Environment Based on Analysis of Scientific Materials

2011 ◽  
Vol 282-283 ◽  
pp. 433-436
Author(s):  
Hong Wei Zhao
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Resource Discovery ◽  
Computing Environment ◽  
Distribution Method ◽  
Cloud Computing Environment ◽  
Comprehensive Service ◽  
Cloud Computing System ◽  
Service Resource ◽  
Current Loading

Cloud computing technology is an efficient way to resolve the resource sharing and cooperative work in distributed environments. The resource discovery mechanism is a key problem in Cloud computing. In order to implement the quick discovery of service resource and the balanced distribution of resource on the Cloud computing system, a resource discovery mechanism in Cloud computing environment has been designed and implemented. Firstly, a Formula based on each node's loading has been proposed. Secondly, a comprehensive service distribution method has been designed in consideration about each node’s performance and current loading distribution. Finally, the result of the experiment indicates that the discovery mechanism can improve the efficiency of the resource and the utilization ratio of the service resource.

A Resource Discovery Mechanism on Cloud Computing System

2012 ◽  
Vol 220-223 ◽  
pp. 2941-2944
Author(s):  
Hong Wei Zhao
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Computing System ◽  
Resource Discovery ◽  
Distribution Method ◽  
Comprehensive Service ◽  
Cloud Computing System ◽  
Service Resource ◽  
Current Loading ◽  
Join Points

Cloud Computing is an efficient way to resolve the resource sharing and cooperative work in distributed environments. Considering the disadvantages of traditional Scheduling method and the characteristics of Cloud Computing System, a resource discovery mechanism has been designed and implemented. Firstly, a calculation method based on each join points’ loading has been proposed, providing the Formula of method. Secondly, a comprehensive service resource distribution method has been designed and implemented in consideration of respective service resource counts, each join points’ performance and current loading distribution. Finally, the result of the experiment indicates that the scheduling system can improve the efficiency of dispatching service resource and the utilization ratio of distributed service resource on 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.

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.

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.

Construction on Virtualized Environment for Digital Library Based on Cloud Computing Technology

2014 ◽  
Vol 687-691 ◽  
pp. 3019-3022 ◽  
Author(s):  
Jun Jun Liu
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Resource Sharing ◽  
Virtual Machines ◽  
Computing Environment ◽  
Computing Technology ◽  
Cloud Computing Environment ◽  
Key Technology ◽  
Virtualization Technology

Cloud computing technology is emerging technology in the field of information technology, and its technical advantage has brought new opportunities and challenges for the development and service of digital library in the Internet era. Virtualization is the key technology of cloud computing, and the paper discusses the virtualization of digital library in the cloud computing environment from technical level. Firstly, the paper introduced cloud computing and virtualization technology; then created a virtualized environment for digital library based on the cloud computing technology, and described the function of various levels; finally, the capacity of virtual machines appointment scheduling can be calculated according to formulas. The paper has great significance in enhancing the efficiency and quality of library service, constructing resource sharing system of digital library.

A Two-Layer Hybrid Trust Mechanism Based on Agent Trust

2014 ◽  
Vol 701-702 ◽  
pp. 923-926
Author(s):  
Jian Wei Ye ◽  
Xu Lu Jiao ◽  
Zhi Kai Xu
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Computing Environment ◽  
Trust Mechanism ◽  
Cloud Computing Environment ◽  
Cloud Computing Security ◽  
Trust Relationship ◽  
Computing Process ◽  
Secure Computing ◽  
Model Cloud

Trust is the foundation of all kinds of Internet activity. As a more open resource sharing model, cloud computing environment consists of mass resource owners and users belonged to different control domain. Therefore, the establishment of the trust relationship among the participants and the guarantee of security and efficiency in the computing process are one of the most fundamental problems of cloud computing security. This paper proposes a two-Layer hybrid trust mechanism based on agent trust. In my proposition, trust relationship is relayed and secure computing environment is established among the different participants by the various existing trust methods.

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