Service/resource discovery and allocation

1994 ◽  
pp. 455-466
Author(s):  
D. C. Doyle ◽  
D. S. Cochrane
Keyword(s):  
Resource Discovery ◽  
Service Resource

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.

TEACH THE EARTH’S DECENTRALIZED MODEL FOR CENTRALIZED EDUCATIONAL RESOURCE DISCOVERY

2016 ◽  
Author(s):  
Rory R. McFadden ◽  
◽  
Sean P. Fox ◽  
Sean P. Fox ◽  
Cathryn A. Manduca ◽  
...  
Keyword(s):  
Resource Discovery ◽  
Educational Resource ◽  
Decentralized Model

scholarly journals User-driven efforts in creating knowledge graph information system

2020 ◽  
Vol 36 (2) ◽  
pp. 97-111
Author(s):  
Stanislava Gardasevic
Keyword(s):  
Information System ◽  
Information Seeking ◽  
Information Needs ◽  
Resource Discovery ◽  
The Body ◽  
Knowledge Graph ◽  
Structured Interviews ◽  
Community Members ◽  
Study Objective ◽  
Content Type

Purpose This paper presents the results of a qualitative study that involved students of an interdisciplinary PhD program. The study objective was to gather requirements to create a knowledge graph information system. The purpose of this study was to determine information-seeking practices and information needs of this community, to inform the functionalities of a proposed system, intended to help students with relevant resource discovery and decision-making. Design/methodology/approach The study design included semi-structured interviews with eight members of the community, followed by a website usability study with the same student participants. Findings Two main information-seeking styles are recognized and reported through user personas of international and domestic (USA) students. The findings show that the useful information resides within the community and not so much on the program website. Students rely on peer communication, although they report lack of opportunities to connect. Students’ information needs and information seeking are dependent on their progress through the program, as well as their motivation and the projected timeline. Practical implications Considering the current information needs and practices, a knowledge graph hosting both information on social networks and the knowledge produced by the activities of the community members would be useful. By recording data on their activities (for example, collaboration with professors and coursework), students would reveal further useful system functionalities and facilitate transfer of tacit knowledge. Originality/value Aside from the practical value of this research that is directly influencing the design of a system, it contributes to the body of knowledge on interdisciplinary PhD programs.

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