IJSRSET1623128 | Received : 25 May 2016 | Accepted : 30 May 2016 | May-June 2016 [(2)3: 417-423] © 2016 IJSRSET | Volume 2 | Issue 3 | Print ISSN : 2395-1990 | Online ISSN : 2394-4099 Themed Section: Engineering and Technology 417 Cost of Dynamic Migration of Content and Load Balancing Distribution Services into Hybrid Clouds P. D. Walunj, Prof. S. K. Sonkar Department of computer engineering Amrutvahini College of Engineering, Sangamner, Maharashtra, India ABSTRACT Cloud computing is a technology which is most recently used for resources sharing for end users. Cloud providers provide services to end user like software, Application and Platform as services to complete their job. One of the objectives of cloud computing is load balancing. In this paper we used hybrid cloud for taking advantages of both cloud i.e. private cloud and public cloud. Content distribution services where cloud provider switch contents on different servers to improve load balancing. The contents are migrated or distributed dynamically on different servers. We used the Lyapunov optimization theory to minimize operational cost of the application with quality of services guarantees. In Lyapunov theory operational cost is reduces using threshold and rating parameter. If rating is above the threshold values then cost is increases same for if rating value is below then the cost is decreases. Threshold values is one kind of limit is define as constant. We proposed dynamic control algorithm is used to design for dynamic load balancing on servers and also provide higher security. Keywords: Content-Distribution; Dynamic Resource Allocation; Load Balancing; Dynamic Migration; Lyapunov Optimization theory. I. INTRODUCTION Cloud computing is recently and widely used technology where cloud provider provides resources to user to complete their job. There are types of resources end user want to complete their need for the application they might be computational resources or networking resources. When resources are provide to end user from the cloud provider the resources are in order and in time. Resources are servers to end user in number of order and allocated time slice to each resource. Paper [7] used selective algorithm for dynamic resource allocation to end user to complete their need of application .selective algorithm is based on min max algorithm which is minimize overall task on machine. [11]user send a request to need a resources but in some cases the respected resource is not available to allocated in this condition request is in longer delay .Cloud provider is for utilizing and allocating resources within the limit of cloud environment. We used hybrid cloud is a combination of both public and private cloud. CDN is like private cloud and DCN is like a public cloud. One data center is a place is in each region which is geographically distributed. Load balancing is one of the main objectives of the cloud computing to manage the spaces on the servers. We used dynamic control algorithm to manage load balancing. In this algorithm we used concept hot spot and cold spot. Hot spot technique if user uploads data on respected server and if server full then migrated content on different servers and leave the respected server. When user is requesting to download file or data the user request is migrated on different server and dispatch from the data center. We used Lyapunov optimization theory [11] [12] to reduce operational cost. There is measure parameter are used to calculate updated cost is depend upon rating and time. Rating is parameter where numbers of user download a data or particular file with in time; cost is updated on this parameter. Threshold value is predefine if rating is above than threshold value then cost is increase with constant values. Same as if value is above threshold but long duration rating value is low, then cost