CLOUD COMPUTING RESOURCE ALLOCATION

Author

MR. MANISH KUMAR SONI,PRINCEE KATIYAR


Abstract

 “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.”

The cloud computing paradigm offers cost savings because users lease the computing resources from a service provider when needed instead of owning them. Cloud computing enables dynamic sharing of the computing resources among the users and allows them to submit and execute applications of many kinds. Different applications, however, require distinct types of resources. Applications such as interactive databases or web-based services lease the cloud resources and usually occupy various resources to maintain a high quality of service (QoS) level for their users. A service level agreement

(SLA) specifies the QoS to be provided to the user in terms of various performance parameters such as throughput, reliability, blocking probability and response time.

The enabling technology of cloud computing is virtualization. Virtualization is a technique for separating software applications from each other and the hardware resources. Virtual Machine (VM) also called instance refers to running of an individual copy of a particular user’s application software or operating system in a virtual environment. Virtual systems feature multitenant capabilities through hypervisor. Hypervisor (also called a virtual machine monitor) is the virtualization software platform that allows simultaneous running of multiple instances on a server. Housing multiple virtual machines on a physical server utilize the physical server resources more efficiently. In a non-virtualized environment, most of the time servers are idle and it has been found that less than 10 percent of computing resources are used at any one time. These servers accrue maintenance and human resource costs along with



Keywords

Cloud computing, Resource allocation, • Dynamic provisioning, Load balancing, Task scheduling, Quality of Service (QoS), • Energy efficiency



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