Cloud Computing shares data between cloud users over the internet and provides it to different resources. There are many challenges faced in cloud computing. The main one is Load balancing .Many researchers have been working on load balancing but still a lot of work has to be done to provide efficient & optimal load balancing method. In this dissertation we are proposing a new hybrid algorithm,...

In the current scenario important focus is on the development load balancing algorithms for cloud computing. In this paper, different kinds of load balancing algorithms are analyzed for cloud computing, to make the network load equally divided in order to provide faster connectivity for all the devices that need the service. Among implemented load balancing algorithms, ant colony optimization a...

Distributed systems have been an active research area in computer science for the last decade, task allocation and load balancing have been a major issue associated with such systems. The load-balancing problem, attempts to compute the assignment with smallest possible makespan (i.e. the completion time at the maximum loaded computing node). Load balancing problem is a NP hard problem. This pap...

The policy in dynamic load balancing, classification and function are variety based on the focus study for each research. They are different but employing the same strategy to obtain the load balancing. The communication processes between policies are explored within the dynamic load balancing and decentralized approaches. At the same time the computation processes also take into consideration ...

It is significant to apply load-balancing strategy to improve the performance and reliability of resource in data centers. One of the challenging scheduling problems in Cloud data centers is to take the allocation and migration of reconfigurable virtual machines (VMs) as well as the integrated features of hosting physical machines (PMs) into consideration. In the reservation model, the workload...

The unprecedented growth of available spatial data at geographically distributed locations coupled with the emergence of grid computing provides a strong motivation for designing a spatial grid which supports fast data retrieval and allows its users to transparently access data of any location from anywhere. This calls for efficient search and loadbalancing mechanisms. This paper focusses on dy...

A data center which consists of thousands of connected computer servers can be considered as a shared resource of processing capacity (CPU), memory, and disk space etc. The jobs arriving at the cloud data center are distributed to different servers via different paths. In addition, the internal traffic between servers inside the data center needs to be load balanced to multiple paths between th...

The feature of load sharing or load balancing involves migration of running processes from highly loaded workstations of a network to the lightly-loaded or idle workstations of the network. This paper describes load balancing techniques to share the workload of the workstations belonging to a particular network to gain better performance from the overall network. The mechanisms of load informat...

– The preliminary design space exploration for large, interdisciplinary engineering problems is often a difficult and time-consuming task. General techniques are needed that efficiently and methodically search the design space. This work focuses on the use of parallel load balancing techniques integrated with a global optimizer to reduce the computational time of the design space exploration. T...