Congestion Avoidance-Data replication in Mobile Adhoc Network

Authors:

S. Philomina,M.Jasmin,

DOI NO:

https://doi.org/10.26782/jmcms.spl.2019.08.00045

Keywords:

Data Replication,Power rate,Disk number,powerstorage,

Abstract

In the data transformation in networks, the fast increase in thedevelopment, fast growth in the amount of the basestations, and power utilization in the rapid growth ofinformation technology the spending expenditure is increasing. In the network environment many organizations are viewing the data storage, techniques thereby to optimizethe powersaving system. Data replicationtechnique to minimize the storage system can vital role in minimizedata, thereby optimizepowerusage alsominimizeheat loss. Data replication can reduce disks numbers used in the work to optimize disk power usagerate. By analyzing the data replication strategy,processes, and methodology for the further process lay the base of the work.

Refference:

I. Baentsch M., Molter G. and Sturm P. (1996). Introducing Application-level
Replication and Naming into today’s Web, International Journal of
Computer Networks and ISDN Systems, 28(7), 921-930.
II. Bell W. H., Cameron D. G., Carvajal-Schiaffino R., Millar A. P., Stockinger
K., Zini F. (2003). Evaluation of an Economy-Based File Replication
Strategy for a Data Grid, Proccedings of 3rd IEEE International Symposium
on Cluster Computing and the Grid (CCGrid), Tokyo Japan, May 2003,
IEEE Computer Society Press.
III. Bernstein P. A., Hadzilacos V. and Goodman N. (1987). Concurrency
Control and Recovery in Database Systems, Massachusetts, Addision-
Wesley Publishers.
IV. Bhagwan R., Moore D., Savage S., and Voelker G. M. (2002). Replication
Strategies for Highly Available Peer-to-Peer Storage, Proceedings of
International Workshop on Future Directions in Distributed Computing,
Italy, June 2002.
V. Birman K. P. and Joseph T. A. (1987). Reliable communication in the
presence of failures, ACM Transactions on Computer Systems, 5(1), 47-76.
VI. Carman M., Zini F., Serafini L. and Stockinger K. (2002). Towards an
Economy-Based Optimisation of File Access and Replication on a Data
Grid. Proceedings of the 1st IEEE/ACM International Conference on
Cluster Computing and the Grid (CCGrid), (pp: 340-345), Berlin, Germany,
May 2002, IEEE Computer Society Press.
VII. Cohen E., Shenker S. (2002). Replication Strategies in Unstructured Peer-to-
Peer Networks, Proceeding of Special Interest Group on Data
Communications (SIGCOMM), (pp: 177-190), Pittsburg, USA, August 2002.
VIII Cooper B. and Garcia-Molina H. (2002). Peer-to-peer data trading to
preserve information, ACM Transactions on Information Systems (TOIS),
20(2), April 2002, 133-170.
IX Domenici A., Donno F., Pucciani G., Stockinger H., Stokinger K. (2004).
Replica Consistency in a Data Grid, Nuclear Instruments and Methods in
Physics Research; Section A: Accelerators, Spectrometers, Detectors and
Associated Equipment, 534(1-2), November 2004, 24-28, Elsevier publisher.
X Dullmann D., Hosckek W., Jaen-Martinez J., Segal B., Samar A., Stockinger
H. and Stockinger K.(2001). Models for Replica Synchronisation and
Consistency in a Data Grid, Proceeding of 10th IEEE International
Symposium on High Performance and Distributed Computing (HPDC), (pp:
67-75), San Francisco, August 2001.
X1 Foster I.andKesselman C. (Ed.). (2004). The Grid: Blueprint for a New
Computing Infrastructure, Second Edition, Morgan Kaufmann Publishers, USA.
X11 Gray J., Helland P., O’Neil P., and Shasha D. (1996). The Dangers of
Replication and a Solution. Proceedings of International Conference on
Management of Data (ACM SIGMOD), (pp: 173-182), Montreal, Canada, June 1996.
XIII Helal A. A., Hedaya A. A. and Bhargava B. B. (1996). Replication
Techniques in Distributed Systems, Boston, Kluwer Academic Publishers.
XIV Khan S. U. and Ahmad I. (2004). Internet Content Replication: A Solution
from Game Theory (Technical Report CSE-2004-5), Department of
Computer Science and Engineering, University of Texas at Arlington.
XV Kistler J. J. and Satyanarayanan M. (1992). Disconnected Operation in the
Coda File System, ACM Transactions on Computer Systems, 10(1), 3-25.

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