Superlative Server for Host-To-Host Based Massive Calibration Data Processing Platform

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-26 Number-1
Year of Publication : 2015
Authors : N. Maheswara Rao, S.Venkata Ramana


N. Maheswara Rao, S.Venkata Ramana "Superlative Server for Host-To-Host Based Massive Calibration Data Processing Platform". International Journal of Computer Trends and Technology (IJCTT) V26(1):26-31, August 2015. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
The corporate network is often used for distributing information among the participating companies and facilitating collaboration in a certain industry sector where companies distribute a common interest. It can effectively help the companies to reduce their service costs and increase the revenues. However, the inter-company data distributing and processing poses unique challenges to such a data administration system including scalability, performance, throughput, and security. In this paper, we present Superlative Host, a system which delivers elastic data sharing services for corporate network applications in the cloud based on Superlative server a host-to-host (H2H) based data management platform. By integrating cloud computing, database, and H2H technologies into one system, Superlative Host provides an economical, flexible platform for collaborative network applications and delivers data sharing services to participants based on the widely accepted pay-asyou- go business model. We evaluate Superlative Host on Amazon EC2 Cloud platform. The benchmarking results show that Superlative Host outperforms Hadoop DB, a recently proposed large-scale data processing system, in performance when both systems are engaged to handle typical corporate network workloads. The benchmarking results also demonstrate that Superlative Host achieves near linear scalability for throughput with respect to the number of peer nodes.

[1] C. Batini, M. Lenzerini, and S. Navathe, “A Comparative Analysis of Methodologies for Database Schema Integration,” in Volume 18 Issue 4, Dec. 1986.
[2] P. Rodrıguez-Gianolli, M. Garzetti,“Data Sharing in the Hyperion Peer Database System,”VLDB '05 Proceedings of the 31st international conference on Very large data bases, 2005.
[3] Quang Hieu Vu; Jianzhong Li; Kian-Lee Tan, “Adaptive Multi- Join Query Processing in PDBMS,” March 29, 2009.
[4] Giuseppe DeCandia, Deniz Hastorun, Madan Jampani, Alex Pilchin, Swaminathan Siva Subramanian, "Amazon's highly Available key-value store," in Volume 41 Issue 6, December 2007.
[5] H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, Quang Hieu Vu, Rong Zhang, "Speeding up search in peer-to-peer networks with a multi-way tree structure," 2006.
[6] H.V.Jagadish, Beng Chin Ooi, Kian-Lee Tan, Rui Zhang "iDistance: An adaptive B+-tree based indexing method for nearest neighbor search," in Volume 30 Issue 2, June 2005.
[7] K. Aberer, A. Datta, and M. Hauswirth, “Route Maintenance Overheads in DHT Overlays,” in 6th Workshop Distrib. Data Structure. 2004.
[8] A. Abouzeid, K. Bajda-Pawlikowski, D.J. Abadi, A. Rasin, and A. Silberschatz, “HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads,” Proc. VLDB Endowment, vol. 2, no. 1, pp. 922-933, 2009.
[9] B. Cooper, A. Silberstein, E. Tam, R. Ramakrishnan, and R. Sears, “Benchmarking Cloud Serving Systems with YCSB,” Proc. First ACM Symp. Cloud Computing, pp. 143-154, 2010.
[10] D. Bermbach and S. Tai, “Eventual Consistency: How Soon is Eventual? An Evaluation of Amazon s3’s Consistency Behavior,” in Proc. 6th Workshop Middleware Serv. Oriented Comput. (MW4SOC ’11), pp. 1:1-1:6, NY, USA, 2011.
[11] C. Batini, M. Lenzerini, and S. Navathe, “A Comparative Analysis of Methodologies for Database Schema Integration,” ACM Computing Surveys, vol. 18, no. 4, pp. 323-364, 1986.

Scalability, Performance, Throughput, Security, Collaboration, Benchmarking.