By Abhishek Parakh, Subhash Kak (auth.), P. Santhi Thilagam, Alwyn Roshan Pais, K. Chandrasekaran, N. Balakrishnan (eds.)
This ebook constitutes revised chosen papers from the overseas convention on complex Computing, Networking and safeguard, ADCONS 2011, held in Surathkal, India, in December 2011. The seventy three papers integrated during this e-book have been rigorously reviewed and chosen from 289 submissions. The papers are equipped in topical sections on disbursed computing, picture processing, development attractiveness, utilized algorithms, instant networking, sensor networks, community infrastructure, cryptography, net safeguard, and alertness security.
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Extra resources for Advanced Computing, Networking and Security: International Conference, ADCONS 2011, Surathkal, India, December 16-18, 2011, Revised Selected Papers
Return to client processing; 6. else send request to same Node to fetch file 7. search for related files; 8. check load on network and Name node; 9. if network load is low 10. pre-fetch metadata of related files; 11. cache metadata in the client; 12. if network load is high, load on Name Node is low 14. pre-fetch metadata of related files; 15. cache metadata in Name Node; 16. check the process activity; 17. if process active 18. continue caching; 19. determine average time between two file accesses; 20.
The paper is structured as follows. First, we give an overview of possible replication models concerning placing of replication mechanism, methods of disseminating changes and ensuring consistency. Next, we shortly present most important features of REST architectural style in the context of replication. Then we suggest replication model that best suits RESTful web services. We present application of this model to RESTful web services and discuss solutions to the most common problems. Finally, we shortly present our prototype implementation of the described replication model.
Else if process is slow 22. decrease the pre-fetch; 23. if process speed below threshold 24. stop pre-fetch. 5 Experimental Evaluation The above algorithm is implemented in a cluster of 4 PCs. 19. One of the four PCs is configured as the Name Node. 10 GHz, 4GB memory and 500GB disk. The other three nodes act as the Data Nodes. 10 GHz, 3GB memory and 320GB disk. Hadoop needs Java for working. 0 is installed. Files, amounting to 1GB in size are uploaded to the Hadoop filesystem, a majority of them being small files.
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