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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hima, K.S. Singh, A.K. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Nehru Coll. of Eng. & Res. Centre, Thrissur, India (Hima, K.S.; Singh, A.K.) |
| Abstract | With the increasingly ubiquitous nature of Social networks and Cloud computing, users are exploring new ways to interact with, and exploit these paradigms. Social networks are used to reflect real world relationships that allow users to share information and form connections between one another. Leveraging the pre-established trust formed through friend relationships within a Social network a dynamic cloud-like platform is formed where the provisioning of Cloud infrastructure occurs through “friend” relationship. As users may have complex preference structures concerning with whom they do or do not wish to share their resources, resources can be effectively allocated within a social community offering resources on a best effort basis. Genetic algorithm along with Threshold Acceptance algorithm is used and performs best for large datasets. Preference can be mentioned manually or by using automatic deduction methods. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 419633 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479968176 |
| e-ISBN | 9781479968183 |
| DOI | 10.1109/ICIIECS.2015.7193045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-19 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Social network services Conferences Computational modeling Allocation Preference Cloud Approximation algorithms Social networks Resource management Virtualization |
| Content Type | Text |
| Resource Type | Article |
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