The concept of Cloud computing has significantly changed the field of parallel and distributed computing systems. The major issues to the cloud are resource discovery, fault tolerance, load balancing, safety measure, task scheduling, dependability, data backup, and data portability. Load balancing is one of the essential responsibilities of the cloud computing. In current situation, the load ba...

Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem specific oriented and a comparison is therefore complex. This paper proposes a generic architectural pattern for a load balancing framework that allows for the plugging of different load balancing algorithms, reaching from unintellig...

Wireless sensor networks are characterized by multihop wireless links and resource constrained nodes. In terms of data collection and forwarding scheduling, this paper investigates the load balancing in sensor nodes and wireless link based on the performance of wireless sensor networks. Leveraging the property of dissimilarity distribution, a method to quantitatively evaluate the benefits of lo...

Load balancing is one of the best efficient methods for performance improvement of cluster system. Recently, WLC algorithm is used for the load balancing of cluster system. But, the algorithm also has load imbalance between servers, because it uses inaccurate static load status of servers. In this paper, I suggest a more efficient dynamic load balancing algorithm base on various load status inf...

Dynamic load balancing is one key adaptation mechanism often deployed in networking and computing systems. Numerous proposals exist for load balancing in P2P networks. All of them will enhance the availability of P2P system to some extent. However, their convergence rate is still low, and the load collection overhead and load transfer overhead are high. In this paper, we propose an ant-based lo...

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters invo...

Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applie...

In large-scale distributed-computing environments, there are a number of inherent time-delay factors that can seriously alter the expected performance of load-balancing (or scheduling) policies that do not account for such delays. This situation arises, for example, in systems for which each computational element (CE) is connected by means of a shared broadband communication medium. The delays,...

Load balancing within the cloud computing Surroundings have a vital impact on the performance. Smart load balancing makes cloud computing a lot of economical and improves user satisfaction. In this paper we introduces a stronger load balance model for the general public cloud supported the cloud partitioning conception with a switch mechanism to settle on totally different methods for various t...

Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applie...