Name
Abstract | ||
|---|---|---|
With the increasing complexity of computing tasks, the resource capability of a single cloud is generally limited, some applications often require various cloud source over internet to deliver services together. Resource collaborative scheduling becomes a critical problem in cloud computing. This paper propose a resources collaboration scheduling model to improve the efficiency of the virtual resources collaboration scheduling, the model bases on virtual organization and makes use of the trust mechanism to estimate the credibility of the virtual organization and improves it. The trust mechanism represents and calculates the credibility of the resources from three dimensions of system trust, user trust and collaboration trust by taking advantage of 2-Tuple fuzzy linguistic representation. The simulation results show that the model can analyze the trust and reputation of resources and improve the credibility of virtual organization. At the same time, it can slash the impact of the malicious evaluation and improve the efficiency of resource scheduling. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TrustCom.2012.242 | TrustCom |
Keywords | Field | DocType |
resources collaborative scheduling model,resource collaborative scheduling,resources collaboration scheduling model,resource scheduling,trust mechanism,cloud computing,collaboration trust,system trust,virtual organization,user trust,virtual resources collaboration scheduling,resource allocation,scheduling,trusted computing,pragmatics,data structures,computational complexity,organizations,mathematical model,collaboration,fuzzy set theory | Trusted Computing,Credibility,Computer science,Scheduling (computing),Resource allocation,Computational trust,The Internet,Cloud computing,Virtual organization,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun Lu | 1 | 15 | 4.00 |
| Hua Jiang | 2 | 0 | 0.34 |
| Mingchu Li | 3 | 469 | 78.10 |
| Sheng Zhao | 4 | 24 | 9.16 |
| Jianhua Ma | 5 | 1401 | 148.82 |