Request and Redirection in Content Delivery Network using Load Balancing System

Authors(3) :-Gayathri V, Vasumathi N, L. Thangapalani

A Cloud technology provides a new opportunity for Video Service Providers to running a virtual machine and hosting video applications in a cost effective manner. Under this project, a VSP may rent virtual machines VMfrom multiple geodistributed data centers that are close to video request to run their services. Cloud Data Center are located in different location.Based on the user request we predict geographical location request and Redirect the nearby data centers. If the server traffic is high then by using load balancing technology their request is redirect to next nearby Cloud data center in virtual machine. A cloud provider deploys its applications in geographically distributed CDNs to improve Stability and Reliability. For cost and performance, each CDN provides services through multiple CDN that deliver traffic between millions of user and the CDNs provider. The geographical diversity of the bandwidth and energy cost brings the CDCs provider a big challenge of how to minimize the bandwidth and energy cost of the CDCs provider. So that the performance will increase and traffic delay is low. We propose a systematic method called Cost Aware Workload Scheduling and Admission Control for Distributed Cloud Data Center(CAWSAC). This scheduling strategy can intelligently dispatch requests, and achieve lower cost and higher throughput for the CDNs provider.

Authors and Affiliations

Gayathri V
Department of Computer Science and Engineering, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai, Affiliated Anna University, Tamilnadu, India
Vasumathi N
Department of Computer Science and Engineering, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai, Affiliated Anna University, Tamilnadu, India
L. Thangapalani
Department of Computer Science and Engineering, Prince Dr. K. Vasudevan College of Engineering and Technology, Chennai, Affiliated Anna University, Tamilnadu, India

Cloud Data Centers(CDC),Video Service Provider (VSP), Cloud Service Provider (CSP), Workload scheduling

  1. Bo hui Li, Haitao Yuan, Jing Bi,Wenjie Jiang,Wei Tan (2016) ‘CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers’, IEEE Transaction on Automation Science and Engineering.
  2. Jianying Luo, Lei Rao, Xue Liu ( 2013 ) ‘Data center Energy Cost Minimization: a Spatio-Temporal Scheduling Approach’, Proceedings IEEE INFOCOM, pp 340-344.
  3. Joe Wenjie Jiang, TianLan, Sangtae Ha, Minghua Chen, Mungchiang (2012) ‘Joint VM Placement and Routing for Data center Traffic Engineering’, pp 2876-2880.
  4. Srinivas Narayana, Wenjie Jiang, Jennifer Rexford, Mung Chiang (2013) ‘Joint Server Selection and Routing for Geo-replicated Services’ IEEE/ACM 6th International Conference on Utility and Cloud Computing, pp 423-428.
  5. Jianying Luo, Lei Rao, Xue Liu ( 2014 ) ‘Temporal Load Balancing with Service Delay Guarantees for Data center Energy Cost Optimization’, IEEE Transactions on Parallel and Distributed Systems, Vol. 25, Issue 3, pp 775-784.
  6. Gemma Reig, Jordi Guitart ( 2012 ) ‘On the Anticipation of Resource Demands to fulfill the QoS of Web Applications’, IEEE 13th International Conference on Grid Computing, pp 147- 155.
  7. Qi Zhang, Mohamed FatenZhani, Raouf Boutaba, Joseph L. Hellerstein (2014) ‘Dynamic Heterogeneity-Aware Resource Provisioning in the Cloud’, IEEE Transactions on Cloud Computing, Vol. 2, Issue 1, pp 14-28.
  8. Xingguan Zuo, Guoxiang Zhang, Wei Tan ( 2014 ) ‘Self-Adaptive Learning PSO- Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud’, IEEE Transactions on Automation Science and Engineering, Vol. 11, Issue 2 , pp 564-573.
  9. Manish Bansal, Kiavash Kianfar, Yu Ding, Erick Moreno-Centen ( 2013) ‘Hybridization of Bound-and Decompose and Mixed Integer Feasibility Checking to Measure Redundancy in Structured Linear Systems’, IEEE Transactions on Automation Science and Engineering, Vol. 10, Issue 4, pp 1151-1157.
  10. Chi-Yao Hong (2013) ‘Achieving High Utilization with Software-Driven WAN’. 
  11. Z. Zhu, J. Bi, H. Yuan, Y. chen (2011) ‘SLA based Dynamic Virtualized resources Provisioning forShared Cloud data centers’, IEEE 4th Int. Conf. Cloud Comput. , pp 630-637.
  12. R. Ghosh, F. Longo, V. K. Naik, K. S. Trivesdi( 2013 ) ‘Modeling and Performance analysis of large scale IaaS clouds’, Future Generation Comput. Syst., vol.29, no.5. pp. 1216-1234. 
  13. Y. Xia, M. Shou, X. Luo, Q. Zhu, J. Li, Y. Huang ( 2013 ) ‘Stochastic modeling and Quality Evaluation of IaaS clouds’, IEEE Trans. Autom.Sci. Eng., Vol. 12, no. 1, pp.1131-1146. 
  14. Y. Guo, Y, Fang (2013) ‘Electricity Cost saving strategy in data centers by using energy storage’, IEEE Trans. Parallel Distrib. Syst., pp. 1149-1160. 
  15. S. Agarwal, M. Kodialam, T. Lakshman( 2013 ) ‘Traffic Engineering in Software defined Networks’, Proc. 32nd IEEE Inst. Conf.Comput.Commun. , pp. 2211-2219.

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 708-712
Manuscript Number : CSEIT172292
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Gayathri V, Vasumathi N, L. Thangapalani, "Request and Redirection in Content Delivery Network using Load Balancing System ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.708-712, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT172292

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