A resource elasticity framework for QoS-aware execution of cloud applications

Future Generation Computer Systems - Tập 37 - Trang 14-25 - 2014
Pankaj Deep Kaur1, Inderveer Chana1
1Department of Computer Science and Engineering, Thapar University, Patiala, India

Tài liệu tham khảo

Foster, 2004 Anderson, 2005, Overcoming the internet impasse through virtualization, IEEE Comput., 38, 34, 10.1109/MC.2005.136 P.D. Kaur, I. Chana, Unfolding the distributed computing paradigm, in: Proceedings of the IEEE International Conference on Advances in Computer Engineering, ACE, Bangalore, Karnataka, India, 2010, pp. 339–342. Amazon Web Services. http://aws.amazon.com/what-is-aws/. Google App Engine-Google Code. http://code.google.com/appengine/. Salesforce Automation. On demand CRM.http://www.salesforce.com/products/sales-force-automation/. I. Foster, et al., Cloud computing and grid computing 360-degree compared, in: Grid Computing Environments Workshop, GCE’08, Austin, Texas, USA, 2008, pp. 1–10. Jha, 2009, Using clouds to provide grids higher levels of abstraction and explicit support for usage modes, Concurr. Comput.: Pract. Exp., 21, 1087, 10.1002/cpe.1406 Armbrust, 2009 M.A. Vouk, Cloud computing issues, research and implementations, in: 30th International Conference on Information Technology Interfaces, ITI 2008, 2008, pp. 31–40. RightScale Documentation. Understanding the voting process. http://support.rightscale.com/12-Guides/RightScale_101/System_Architecture/RightScale_Alert_System/Alerts_based_on_Voting_Tags/Understanding_the_Voting_Process. Hasan, 2012, Integrated and autonomic cloud resource scaling, 1327 Grewal, 2012, A rule-based approach for effective resource provisioning in hybrid cloud environment, Int. J. Comput. Sci. Inform., 1, 101 Lim, 2010, Automated control for elastic storage, 1 T. Patikirikorala, A. Colman, J. Han, L. Wang, A multi-model framework to implement self-managing control systems for QoS management, in: Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS’11, NY, USA, 2011, pp. 218–227. P. Padala, K.Y. Hou, K.G. Shin, X. Zhu, M. Uysal, Z. Wang, S. Singhal, A. Merchant, Automated control of multiple virtualized resources, in: Proceedings of the 4th ACM European Conference on Computer Systems, 2009, pp. 13–26. P. Bodik, R. Griffith, C. Sutton, A. Fox, M. Jordan, D. Patterson, Statistical machine learning makes automatic control practical for internet datacenters, in: Proc HotCloud, 2009. Sadeka, 2012, Empirical prediction models for adaptive resource provisioning in the cloud, Future Gener. Comput. Syst., 28, 155, 10.1016/j.future.2011.05.027 A.A. Bankole, S.A. Ajila, Predicting cloud resource provisioning using machine learning techniques, in: 26th Annual IEEE Canadian Conference on Electrical and Computer Engineering, CCECE, 2013. Y. Guo, P. Lama, R. Jia, X. Zhou, V-Cache: towards flexible resource provisioning for multi-tier applications in IaaS clouds, in: IEEE 27th International Symposium on Parallel & Distributed Processing, IPDPS, 2013. H. Mi, H. Wang, G. Yin, Y. Zhou, D. Shi, L. Yuan, Online self-reconfiguration with performance guarantee for energy-efficient large-scale cloud computing data centers, in: IEEE International Conference on Services Computing, SCC, 2010, 2010, pp. 514–521. J. Huang, C. Li, J. Yu, Resource prediction based on double exponential smoothing in cloud computing, in: IEEE 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet, 2012, pp. 2056–2060. Chen, 2008, Energy-aware server provisioning and load dispatching for connection-intensive Internet services, 337 Iqbal, 2011, Adaptive resource provisioning for read intensive multi-tier applications in the cloud, Future Gener. Comput. Syst., 27, 871, 10.1016/j.future.2010.10.016 Zhang, 2002 R. Singh, et al., Autonomic mix-aware provisioning for non-stationary data center workloads, in: ICAC’10, Washington, DC, USA, 2010. S. Bouchenak, Autonomic management of clustered applications, in: IEEE International Conference on Cluster Computing, Spain, 2006. G. Jungy, et al., Generating adaptation policies for multi-tier applications in consolidated server environments, in: Proceedings of the International Conference on Autonomic Computing, ICAC’08, 2008, pp. 291–302. Karagiannis, 2004, A nonstationary Poisson view of Internet traffic Cao, 2002, Internet traffic tends toward Poisson and independent as the load increases, 83 Foster, 2002, Grid services for distributed system integration, IEEE Comput., 35, 10.1109/MC.2002.1009167 Reiser, 1980, Mean value analysis of closed multichain queuing networks, J. Assoc. Comput. Mach., 27, 313, 10.1145/322186.322195 Lagershausen, 2012 Chee-Hock, 2008 Kaur, 2014, Cloud based intelligent system for delivering health care as a service, Comput. Methods Programs Biomed., 113, 346, 10.1016/j.cmpb.2013.09.013 Hall, 2009, The WEKA data mining software: an update, SIGKDD Explorations, 11, 10.1145/1656274.1656278 Apache Software Foundation, Apache JMeter, http://jakarta.apache.org/jmeter/usermanual/glossary.html, 2010.