Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Research on city Trust Evaluation Model Based on Grid Computing and Context Awareness

Authors
Xiangjun Pu
Corresponding Author
Xiangjun Pu
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.151How to use a DOI?
Abstract

The current evaluation mechanism of city confidence based on grid computing is not perfect, which will greatly affect the efficiency and the grid resources’ sharing. On the base of the traditional city model of grid computing, in this paper we propose a context-aware control and city trust evaluation model, estimating through the context similarity, effectively estimating unfamiliar entities trust and providing incentive punishment mechanism based on the actual transactions. Resource sharing is the main features of grid. Grid resource management based on the economy computing promotes the sharing of grid resources from many perspectives. These management methods are based on certain precondition, which assumes the resources’ transaction parties in grid market are reliable. Keywords: grid computing; trust evaluation model; context-aware;

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-189-6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.151How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiangjun Pu
PY  - 2016/06
DA  - 2016/06
TI  - Research on city Trust Evaluation Model Based on Grid Computing and Context Awareness
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 747
EP  - 750
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.151
DO  - 10.2991/icamcs-16.2016.151
ID  - Pu2016/06
ER  -