An Efficient Mechanism For Providing Identity Privacy For Bulk Cloud Information Sharing With Diffserv Architecture On Cloud Infrastructure
Author(s)
Durairaj.M, Chandrasekar.C
Published Date
September 11, 2024
DOI
your-doi-here
Volume / Issue
Vol. 8 / Issue 5
Abstract
Cloud computing enables the convenience system to offer an on-demand network access amongst shared set of cloud pools. The shared cloud on service based applications dynamically adapt to higher QoS requirement system. However the service based application on the cloud infrastructure does not enable richer privacy modelling while sharing bulk software information. The inefficiency on sharing bulk software information leads to the degradation of cloud infrastructure. A small number of privacy preserving data sharing method on cloud infrastructure works to validate network integrity level of the entire cloud software's. However, the software information sharing still needs identity privacy for efficient auditing of bulk information on cloud infrastructure. To achieve an effective sharing of the software information on cloud infrastructure Opportunistic Bulk Software Information Sharing (OBSIS) Mechanism is proposed in this paper. The mechanism OBSIS is integrated with DiffServ Architecture which provides richer privacy modelling while sharing the information on network based cloud infrastructure. To achieve this, the OBSIS mechanism is divided into two phases such as application specific bandwidth aware routing and added resources based bulk data share method. In the first phase of the OBSIS mechanism, software information sharing process is carried out using Association Share Load assessment with DiffServ network Architecture. With the application of Association Share Load assessment, higher bandwidth rate efficiency is attained and low latency software information sharing system with best effort of services. Subsequently, in the second phase of the OBSIS mechanism, added resources based bulk data share method in uses Bergh's demand support matrix method to provide the identity privacy for effective data sharing. Experiment is conducted to work on the factors such as data sharing rate, bandwidth availability and latency time.
Research Scholar, Department of Computer science Karpagam University, Coimbatore, India. durairaj.moorthy@gmail.com. Mobile: +91-9941155124 Associate Professor, Department of Computer science Periyar University, Salem-636011, India. ravikasi2001@yahoo.com Mobile: +91-9994599967
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