DocumentCode
1797713
Title
Cloud based semantic middleware for data storage on peer to peer network
Author
Khizar, Javeria ; Sadik, Sarmad
Author_Institution
Dept. of Comput. Software Eng., Nat. Univ. of Sci. & Technol.(NUST), Islamabad, Pakistan
fYear
2014
fDate
15-17 Nov. 2014
Firstpage
298
Lastpage
303
Abstract
Cloud computing is a promising business and computing model. The cloud storage is an essential and most used service, which provides stable and massive data storage space to end users. In this research work, new private cloud storage architecture is proposed with decentralized indexing which is based on peer to peer network. The proposed cloud architecture has semantic middleware for data storage. It is designed for a cloud based environment where client interacts with cloud which is comprised of peers. The private cloud will be available to clients through internet. Each peer in the network contributes its resources to form private cloud. The client can store whole file without dividing into chunks. The various modules in middleware performed different tasks to store and retrieve files from cloud. The ontology is created in Protégé-OWL to make it reusable and ease of management. The proposed architecture is being implemented using latest Java NetBeans framework with Jena API for ontology management.
Keywords
Java; cloud computing; database indexing; knowledge representation languages; middleware; ontologies (artificial intelligence); peer-to-peer computing; semantic Web; storage management; Internet; Java NetBeans framework; Jena API; Protégé-OWL; cloud based semantic middleware; cloud computing; data storage; decentralized indexing; ontology management; peer to peer network; private cloud storage architecture; Cloud computing; Computational modeling; Computer architecture; Ontologies; Peer-to-peer computing; Semantics; Cloud Computing; Cloud Storage; Peer to Peer Network; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-5457-5
Type
conf
DOI
10.1109/ICSAI.2014.7009303
Filename
7009303
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