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Predicting a Low Latency in Different States of Emergency Events using Web Resources

V. Geetha1 , S. Rajalakshmi2

  1. Department of Computer Science, S.T.E.T Women’s College, Sundarakkottai, India.
  2. Department of Computer Science, S.T.E.T Women’s College, Sundarakkottai, India.

Correspondence should be addressed to: kkmannaig@gmail.com .

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 293-299, Jun-2017

Online published on Jun 30, 2017

Copyright © V. Geetha, S. Rajalakshmi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: V. Geetha, S. Rajalakshmi, “Predicting a Low Latency in Different States of Emergency Events using Web Resources,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.293-299, 2017.

MLA Style Citation: V. Geetha, S. Rajalakshmi "Predicting a Low Latency in Different States of Emergency Events using Web Resources." International Journal of Computer Sciences and Engineering 5.6 (2017): 293-299.

APA Style Citation: V. Geetha, S. Rajalakshmi, (2017). Predicting a Low Latency in Different States of Emergency Events using Web Resources. International Journal of Computer Sciences and Engineering, 5(6), 293-299.

BibTex Style Citation:
@article{Geetha_2017,
author = {V. Geetha, S. Rajalakshmi},
title = {Predicting a Low Latency in Different States of Emergency Events using Web Resources},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {293-299},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1343},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1343
TI - Predicting a Low Latency in Different States of Emergency Events using Web Resources
T2 - International Journal of Computer Sciences and Engineering
AU - V. Geetha, S. Rajalakshmi
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 293-299
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

Low latency is basic for intuitive networked applications. Be that as it may, while we know how proportional frameworks to in-wrinkle limit, decreasing latency particularly the tail of the latency dispersion can be a great deal more troublesome. We contend that the utilization of repetition with regards to the wide-territory Internet is a viable approach to change over a little measure of additional limit into diminished latency. By starting excess operations crosswise over differing assets and utilizing the primary outcome which finishes, repetition enhances a framework`s latency even under extraordinary conditions. We show that repetition can fundamentally diminish latency for little yet basic undertakings, and contend that it is a successful broadly useful methodology even on gadgets like phones where data transfer capacity is generally obliged.

Key-Words / Index Term

Performance, Reliability, Latency

References

[1] J.Makkonen, “Investigation on event evolution in TDT” In 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language, PP.43-48, 2003.
[2] C.Yang, X.Shi, and C.Wei, “Discovering Event Evolution Graphs from News Corpora” IEEE Trans. on Systems, Man and Cybernetics—Part A: 39(4):850-863, 2009.
[3] J.Abonyi, B.Feil, S.Nemeth, and P.Arva, “Modified Gath– Geva clustering for fuzzing segmentation of multivariate time- series” Fuzzy Sets and Systems, Data Mining, Special Issue 149:39-56, 2005.
[4] C. C. Foster and E. M. Riseman, “Percolation of code to enhance parallel dispatching and execution” IEEE Trans. Comput., 21(12):1411{1415, Dec. 1972.
[5] W. Gray and D. Boehm-Davis, “Milliseconds matter: An introduction to microstrategies and to their use in describing and predicting interactive behavior”, Journal of Experimental Psychology: Applied, 6(4):322, 2000.
[6] A. Greenberg, J. R. Hamilton, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. A. Maltz, P. Patel, and S. Sengupta, “VL2: a scalable and flexible data center network”, In ACM SIGCOMM, pages 51{62, New York, NY, USA, 2009. ACM.
[7] D. Han, A. Anand, A. Akella, and S. Seshan. “RPT: re-architecting loss protection for content-aware networks” In 9th USENIX conference on Networked Systems Design and Implementation, NSDI`12, pages 6{6, Berkeley, CA, USA, 2012. USENIX Association.
[8] S. Jain, M. Demmer, R. Patra, and K. Fall, “Using redundancy to cope with failures in a delay tolerant network”, In ACM SIGCOMM, 2005.
[9] J. Li, J. Stribling, R. Morris, and M. Kaashoek, “Bandwidth-efficient management of DHT routing tables” In USENIX NSDI, 2005.
[10] U. D. of Labor. Economy at a glance. http://www.bls.gov/eag/ eag. us.htm.
[11] F. Qian, A. Gerber, Z. M. Mao, S. Sen, O. Spatscheck, and W. Willinger, “TCP revisited: a fresh look at TCP in the wild.” In IMC, pages 76{89, New York, NY, USA, 2009. ACM.
[12] S. Ramachandran, “Web metrics: Size and number of resources” May 2010. https://developers.google.com/speed/articles/web-metrics.
[13] E. Soljanin, “Reducing delay with coding in (mobile) multi-agent information transfer” In Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on, pages 1428{1433. IEEE, 2010.
[14] S. Souders, “Velocity and the bottom line” http://radar.oreilly.com /2009/07/velocity-making-your-site-fast.html.
[15] J. Whiteaker, F. Schneider, and R. Teixeira, “Explaining packet delays under virtualization” ACM SIGCOMM Computer Communication Review, 41(1):38{44, January 2011.
[16] X.Wu, Y.Lu, Q.Peng, and C.Ngo, “Mining Event Structures from Web Videos” IEEE Multimedia, 18(1):38-51, 2011.
[17] Q. He, K. Chang, E. Lim and A. Banerjee. Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(10):1795-1808, 2010.
[18] C. Sung and T. Kim Collaborative Modeling Process for Development of Domain-Specific Discrete Event Simulation Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 42(4):532-546, 2012.
[12] J. Allan, G. Carbonell, G. Doddington, J. Yamron, and Y. Yang. Topic Detection and Tracking Pilot Study Final Report. In Proceedings of the Broadcast News Transcription and Understanding Workshop, 1998.