• G RAMASUBBA REDDY

Cloud computing is considered as on-demand service in which the applications to the data centers will be like pay-per-use manner. The predominant concepts in cloud computing are load balancing, allocation of resources and workflow scheduling. These are aimed at providing the cloud resources to cloud users in order to access in an easy and convenient way. Load balancing focuses to ignore the overload issues and nodes underload. The resource allocation focuses to enhance the performance levels by proper allocation of resources to use. The aim of workflow scheduling is to reduce the consumption of energy and cost and so on. Among these techniques, the key task related cloud computing environment is Resource management. Cloud computing enables cloud users to allow accessing the computing resources (comprising servers, networks, services and so on) with ease and less cost. It is required a flexible resource allocation strategy so that to assign those resources in proper way and also to meet the user’s requirements. With increase in user requirement, the procedure of resource allocation becomes complex and high challenging one. Hence in this paper we concentrated on some different kinds of algorithms related to load balancing, resource allocation and workflow scheduling. We also presented the classification of resources in virtualized and non-virtualized environment.

cloud computing, components, virtualized and non-virtualized resources, resource management.

"Classification of Resources and Resource Management Techniques in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.297-303, June-2019, Available :http://www.jetir.org/papers/JETIR1906969.pdf

"Classification of Resources and Resource Management Techniques in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp297-303, June-2019, Available at : http://www.jetir.org/papers/JETIR1906969.pdf