Enhancing Adaptive Path Isolation Technique for Heterogeneous Data Fow in Data Centers

Ankita Shirbhate, Sarita Patil

Abstract


As the resource competition and contentions in data center networks (DCNs) are frequent and to large degrees, this becomes the reason of the evolution of our concept. Hedera, JellyFish, UltraLow, HULL, DCTCP are some of the tools and algorithms which are available for the implementation of this concept. Many of the existed methodologies transact not up to the level, due to high time and space constraints, so this leaves a space for some contribution. Maintenance of the priority queue to manage the traffic and the congestion in network for data of all sizes is the basic concept to be implemented here. Priority queue contains each element having some priority confederated with it. We enforce priority queue to prioritize huge extent of data accessible in data centers. Thus, to enhance the data flow at the high congestion network of data centers proposed methodology put forwards an idea of easing the flow by maintaining the priority queue which is powered with fuzzy classification and decision tree models. The transmission delay at the real time are analyzed and the paths are assigned accordingly with the evaluation of the request matrix. Finally scheduling through recursive genetic algorithm is done and efficiently data is transmitted from the source to the destination.

Full Text:

PDF

References


Yu-Yin Chen, En-Jui Chang, Hsien-Kai Hsin, Kun-Chih Chen and AnYeu

(Andy) Wu, Path-Diversity-Aware Fault-Tolerant Routing Algorithm

for Network-on-Chip Systems, IEEE TRANSACTIONS 2016.

Z. Li, M. Li, Y. Liu and J. Geng, Identify Coincidental Correct Test

Cases Based on Fuzzy Classification, 2016 International Conference on

Software Analysis, Testing and Evolution (SATE), Kunming, China, 2016,

pp. 72-77.

Y. Jiang, Z. Deng, F. L. Chung and S. Wang, Realizing Two-View TSK

Fuzzy Classification System by Using Collaborative Learning, in IEEE

Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 1,

pp. 145-160, Jan. 2017.

W. Song and H. Hagras, A Big-Bang Big-Crunch fuzzy logic based

system for sports video scene classification, 2016 IEEE International

Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, BC, 2016, pp.

-649.

S. Roy, S. Mondal, A. Ekbal and M. S. Desarkar, CRDT: Correlation Ratio

Based Decision Tree Model for Healthcare Data Mining, 2016 IEEE 16th

International Conference on Bioinformatics and Bioengineering (BIBE),

Taichung, Taiwan, 2016, pp. 36-43.

J. Chen, T. Wang, R. Abbey and J. Pingenot, A Distributed Decision

Tree Algorithm and Its Implementation on Big Data Platforms, 2016

IEEE International Conference on Data Science and Advanced Analytics

(DSAA), Montreal, QC, Canada, 2016, pp. 752-761.

H. Crosby, P. Davis and S. A. Jarvis, Spatially-Intensive Decision Tree

Prediction of Traffic Flow across the Entire UK Road Network, 2016

IEEE/ACM 20th International Symposium on Distributed Simulation and

Real Time Applications (DS-RT), London, United Kingdom, 2016, pp.

-119.

R. Bhagwan and B. Lin, Fast and scalable priority queue architecture

for high-speed network switches, Proceedings IEEE INFOCOM 2000.

Conference on Computer Communications. Nineteenth Annual Joint

Conference of the IEEE Computer and Communications Societies (Cat.

No.00CH37064), Tel Aviv, 2000, pp. 538-547 vol.2.

A. Datta, Construction of Polynomial-Size Optical Priority Queues Using

Linear Switches and Fiber Delay Lines,” in IEEE/ACM Transactions on

Networking , vol.PP, no.99, pp.1-14

J. Liebeherr and D. E. Wrege, Priority queue schedulers with approximate

sorting in output-buffered switches, in IEEE Journal on Selected

Areas in Communications, vol. 17, no. 6, pp. 1127-1144, Jun 1999.

Q. Guo, J. Ye, Y. Gong, Y. Hu and X. Li, Efficient Attack on Non-linear

Current Mirror PUF with Genetic Algorithm, 2016 IEEE 25th Asian Test

Symposium (ATS), Hiroshima, Japan, 2016, pp. 49-54.

B. H. Arabi, Solving NP-complete Problems Using Genetic Algorithms,

UKSim-AMSS 18th International Conference on Computer Modelling

and Simulation (UKSim), Cambridge, United Kingdom, 2016, pp.

-48.

A. Dobrkovic, M. E. Iacob and J. Van Hillegersberg, Maritime Pattern

Extraction from AIS Data Using a Genetic Algorithm, 2016 IEEE International

Conference on Data Science and Advanced Analytics (DSAA),

Montreal, QC, Canada, 2016, pp. 642-651.

H. Guo, X. Wang, K. Chang and Y. Tian, Exploiting Path Diversity

for Thwarting Pollution Attacks in Named Data Networking, in IEEE

Transactions on Information Forensics and Security, vol. 11, no. 9, pp.

-2090, Sept. 2016.

Y. Thomas, G. Xylomenos and G. C. Polyzos, Exploiting path diversity

for networked music performance in the Publish Subscribe Internet, 2015

th International Conference on Information, Intelligence, Systems and

Applications (IISA), Corfu, 2015, pp. 1-6.

E. Molina, J. Matias, A. Astarloa and E. Jacob, Managing path diversity

in layer 2 critical networks by using OpenFlow, 2015 11th International

Conference on Network and Service Management (CNSM), Barcelona,

, pp. 394-397.


Refbacks

  • There are currently no refbacks.


 

Copyright © IJETT, International Journal on Emerging Trends in Technology