With the development of parallel computing, distributed computing, grid computing, a new computing model appeared. The concept of computing comes from grid, public computing and SaaS. It is a new method that shares basic framework. The basic principles of cloud computing is to make the computing be assigned in a great number of distributed computers, rather than local computer or remoter server. The running of the enterprise’s data center is just like Internet. This makes the enterprise use the resource in the application that is needed, and access computer and storage system according to the requirement. The development of high speed Internet access, Web 2.0 applications and Virtualization techniques have made Cloud computing a leading edge technology. A user in ‘Cloud’ runs web based application over Internet via browser with a look and feel of desktop program. Cloud computing provides dynamically scalable and virtualized resources as a service over the network at minimum cost wherein data-centers work as backbone comprising of a large number of servers, networked to provide computing & storage needs of the users. The area which needs more attention is Latency Optimization for cloud architecture to work as ubiquitous as expected. Many data intensive applications produce enormous amounts of data which travel on cloud network. As the cloud users grow, cloud architecture should accommodate movement of voluminous data to avoid data congestion in the network. The existing work improves the efficiency of data-centers and optimizes the latency by using dynamic load balancing algorithms. In this work, an extended user centric Cloud computing architecture is proposed which is based on computing needs of the users.Data-centers have been divided into sub data centers and based on the computing needs of the users,the request is diverted to a specific favorable sub data center at minimum response time.
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