Cloud Computing is computing where in several groups of servers are networked for providing online access to users. Several factors which influence cloud computing such as scalability, security etc are discussed by many researchers. Now a days usage of internet resources is widely increasing resulting in the increase of workload exponentially. In order to make cloud computing efficient and impr...

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...

To solve the load imbalance problem of a solution-adaptive finite element application program on a distributed memory multicomputer, nodes of a refined finite element graph can be remapped to processors or load of a refined finite element graph can be redistributed based on the current load of each processor. For the former case, remapping can be performed by some fast mapping algorithms. For t...

The paper shows how to use Extremal Optimization in load balancing of distributed applications executed in clusters of multicore processors interconnected by a message passing network. Composed of iterative optimization phases which improve program task placement on processors, the proposed load balancing method discovers dynamically the candidates for migration with the use of an Extremal Opti...

Recently, there have been an increasing interest in RFID system and RFID systems have been applied to various applications. Load balancing is a fundamental technique for providing scalability of systems by moving workload from overloaded nodes to under-loaded nodes. This paper presents an approach to adaptive load balancing for RFID middlewares. Workloads of RFID middlewares can have a consider...

This paper deals with design goals to provide seamless connection to the Internet when mobile hosts roam between MANETs and to achieve load-balancing routing when mobile hosts have multiple gateways available. We address three issues in this paper namely IP address resolution, mobility management under NAT structure, and load-balancing routing. Mobile IP and NAT traversal are adopted to provide...

We present a multithreaded model for the dynamic load-balancing of parallel adaptive PDE computations. Multithreading is used as a means of exploring concurrency in the processor level and for tolerating: (i) long memory latencies, and (ii) synchronization costs inherent to traditional load-balancing methods. We show that under certain values of the parameters (i.e., number of threads, and cont...

This paper addresses network architectures in a constellation of high altitude platforms (HAPs) with overlapping coverage areas, focusing on the additional network elements/functionalities required to make use of load balancing mechanisms. According to the location within the network and the complexity of additional equipment/ functionality the paper proposes two different architectures. In the...

Multiagent computing on a cluster of workstations is widely envisioned to be a powerful paradigm for building useful distributed applications. The agents of the system span across all the machines of a cluster. Just like the case of traditional distributed systems, load balancing becomes an area of concern. With different characteristics between ordinary processes and agents, it is both interes...

Grid computing servers as the globally connected systems which performs high computing in many practical applications. Scheduling plays a key role in providing performance for grid workflow applications. Various scheduling strategies are proposed, including static scheduling strategies which map jobs to resources before execution time, or dynamic alternatives which schedule individual job only ...