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Dynamic provisioning and resource management for multi-tier cloud based applications

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Dynamic capacity provisioning is a useful technique for handling the workload variations seen in cloud environment. In this paper, we propose a dynamic provisioning technique for multi-tier applications to allocate resources efficiently using queuing model. It dynamically increases the mean service rate of the virtual machines to avoid congestion in the multi-tier environments. An optimization model to minimize the total number of virtual machines for computing resources in each tier has been presented. Using the supplementary variable and the recursive techniques, we obtain the system-length distributions at pre-arrival and arbitrary epochs. Some important performance indicators such as blocking probability, request waiting time and number of tasks in the system and in the queue have also been investigated. Finally, computational results showing the effect of model parameters on key performance indicators are presented.
Rocznik
Strony
175--191
Opis fizyczny
Bibliogr. 13 poz., fig.
Twórcy
autor
  • School of Computer Application, KIIT University, Bhubaneswar - 751024, India
autor
  • School of Computer Application, KIIT University, Bhubaneswar - 751024, India
autor
  • School of Computer Engineering, KIIT University, Bhubaneswar - 751024, India
Bibliografia
  • [1] Ardagna D., Trubian M., Zhang L., SLA based profit optimization in multitier systems, Proceedings of the 4th IEEE Inyternational Symposium on NetworkComputing and Applications, 2005, 263-266.
  • [2] Bi J.,Zhu Z., Tian R., Wang Q., Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center,Proceedings of the Third IEEEInternational Conference on Cloud Computing, 2010, 370-377.
  • [3] Buyya R., Yeo C. S.,Venugopal S., An architectural approach to autonomic computing, Future Generation Computer Systems, 25, 6, 2009, 599-616.
  • [4] Chen Y., Iyer S., Liu X., SLA decomposition: Translating service level objectives to system level thresholds, Proceedings of the 4th International Conference onAutonomic Computing, 2007, 3-15.
  • [5] Jung G., Joshi K.R., Hiltunen M.A., Generating adaptation policies for multi-tier applications in consolidated server environments,Proceedings of the 5th International Conference on Autonomic Computing, 2008, 23-32.
  • [6] Kamra A.,Misra V., Nahum E., Yaksha: A self-tuning controller for managing the performance of 3-tiered web sites, Proceedings of International Workshop on Quality of Service, 2004, 47-58.
  • [7] Kundu A., Banerjee A.D., Saha P., Introducing New Services in Cloud Computing Environment, International Journal of Digital Content Technology and its Applications, 4, 5, 2010, 143-152.
  • [8] Reddy K.V., Rao B., Reddy L.S.S.,Kiran P.S., Research Issues in Cloud Computing, Global Journal of Computer Science and Technology, 11, 11, 2011, 59-64.
  • [9] Urgaonkar B., Pacifici G.,Shenoy P., An analyticial model for multi-tier Internet services and its applications, Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurement and modeling of computer systems, 2005, 291-302.
  • [10] Urgaonkar B., Shenoy P., Chandra A., Agile dynamic provisioning of multi-tier Internet application, ACM Transactions on Autonomous and Adaptive Systems, 3, 1, 2008, 1-39.
  • [11] Wang X., Du Z., Chen Y., Li S., Virtualization based autonomic resource management for multi-tier Web applications in shared data center, The Journal of Systems and Software 81, 9, 2006, 1591-1608.
  • [12] White S.R.,Hanson J.E., Whalley I., An architectural approach to autonomic computing, Proceedings of the First IEEE International Conference on Autonomic Computing, 2004, 2-9.
  • [13] Zhang A., Santos P., Beyer D., Optimal server resource allocation using an open queueing network model of response time, HP Labs Technical Report, 2001, 1-17.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-165d639f-6237-456a-8c06-651e893ae24f
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