Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Approach of intelligent agent in Cloud resource management

Author : Manoj Sharma 1 Dr. Manoj Kumar Sharma 2 Dr. S. Srinivasan 3

Date of Publication :20th September 2017

Abstract: Rapid technological developments in Information Technology (IT) and ubiquitous Internet access are causing serious challenges in service provisioning and resource management landscapes. Cloud computing is proving to be a reliable technology to address these challenges. Service provisioning in the Cloud relies on Service Level Agreements (SLAs) representing a contract signed between the customer and the service provider including non-functional requirements of the service specified as Quality of Service (QoS) and penalties in case of violations. Flexible and reliable management of resources and SLA agreements are of paramount importance to both Cloud providers and consumers. On the one hand, providers have to prevent SLA violations to avoid penalties and on the other hand, they have to ensure high resource utilization to prevent costly maintenance of unused resources In this paper, we propose a novel Cloud management infrastructure, which is based on holistic monitoring techniques and mechanisms for low-level resource metrics to high-level SLA mapping, application scheduling and deployment, and the ability to monitor multiple application executing on the same host.

Reference :

    1. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
    2. Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurr. Comput. 24(13), 1397–1420 (2012)
    3. Bonvin,N., Papaioannou,T.G.,Aberer, K.:Autonomic SLA-driven provisioning for cloud applications. In: Proceedings of the 2011 11th IEEE/ACM international symposium on cluster, cloud and grid computing, IEEE Computer Society, pp. 434– 443 (2011)
    4. Calheiros, R.N.,Ranjan, R.,Beloglazov, A.,DeRose, C.A.,Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software 41(1), 23–50 (2011) [5]Chatterjee, S., Hadi, A.S.: Regression analysis by example.Wiley, Hoboken (2013)
    5. Duong, T.N.B., Li, X., Goh, R.S.M.: A framework for dynamic resource provisioning and adaptation in iaas clouds. In: Proceedings of the IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), 2011, pp. 312– 319 (2011). IEEE
    6. Hategan, M., Wozniak, J., Maheshwari, K.: Coasters: uniform resource provisioning and access for clouds and grids. In: Proceedings of the Fourth IEEE International Conference on Utility and Cloud Computing (UCC), pp. 114–121 (2011). IEEE [8]Herbst, N.R., Kounev, S., Reussner, R.: Elasticity in cloud computing: what it is, and what it is not. In: Proceedings of the 10th International Conference on autonomic computing (ICAC 2013), San Jose, CA (2013)
    7. Huang, H., Wang, L.: P&p: a combined push-pull model for resource monitoring in cloud computing environment. In: Proceedings of the Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on, pp. 260–267 (2010). IEEE
    8. Jararweh,Y., Jarrah, M.,Kharbutli, M.,Alsaleh,M.N., Al-Ayyoub, M.: CloudExp: a comprehensive cloud computing experimental framework. Simul. Model. Pract. Theory 49, 180–192 (2014)
    9. Marshall, P., Keahey, K., Freeman, T.: Elastic site: using clouds to elastically extend site resources. In: Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, EEE Computer Society, pp. 43–52. I (2010)
    10. Siddiqui, U., Tahir, G.A., Rehman, A.U., Ali, Z., Rasool, R.U., Bloodsworth, P.: Elastic jade: dynamically scalable multi agents using cloud resources. In: Proceedings of the Cloud and Green Computing (CGC), 2012 Second International Conference on, pp. 167–172 (2012). IEEE
    11. Vaquero, L.M., Rodero-Merino, L., Buyya, R.: Dynamically scaling applications in the cloud.ACMSIGCOMMComput.Commun. Rev. 41(1), 45–52 (2011).

Recent Article