Numerous works has been done for load balancing of web servers in grid environment. Reason behinds popularity of grid environment is to allow accessing distributed resources which are located at remote locations. For effective utilization, load must be balanced among all resources. Importance of load balancing is discussed by distinguishing the system between without load balancing and with loa...

Introduction 1 Workload Characteristics of Internet Services 2 Web Applications 3 Streaming Applications 4 Taxonomy of Load-Balancing Strategies 4 Load Balancing in the Server, the Network, and the Client Sides 4 State-Blind versus State-Aware Load Balancing 5 Load Balancing at Different Network Layers 5 Server-Side Load Balancing 5 DNS-Based Load Balancing 5 Dispatcher-Based Load Balancing 7 S...

• We propose a new optimal automatic load balancing criterion for parallel iterative applications. introduce an algorithm finding the time at which dynamic should be triggered. Our outperforms state-of-the-art criteria by up to 17.6%, while being, on average, 4.9% faster. show that are most 42% slower than optimum. Parallel applications often suffer from imbalance, one of critical performance d...

Scalability becomes the basic need for distributed systems. With the increase of users, load on application servers also keep increasing. This requires a critical action to balance the load on servers. Load balancing is the concept of balancing load on servers using various load balancing techniques. In this paper we discuss various load-balancing techniques that are currently available. We dis...

Load balancing middleware is used extensively to improve scalability and overall system throughput in distributed systems. Many load balancing middleware services are simplistic, however, since they are geared only for specific usecases and environments. These limitations make it hard to use the same load balancing service for anything other than the distributed application it was designed for ...

As middleware-based distributed applications become more pervasive, the need to improve the scalability of these applications becomes increasingly important. One way to improve scalability is via load balancing. Earlier generations of middleware-based load balancing services were simplistic, however, since they focused on specific use-cases and environments, which made it hard to use these serv...

This paper proposes a technique for load balancing on symmetric multiprocessor systems, where tasks are placed in queues for being processed. Load balancing on processers was run using the RED algorithm and fuzzy system. This system which involves three threads and load balancing was carried out based on these threads. Load balancing operation was carried out in symmetric processers. Load balan...

Distributed simulations require partitioning mechanisms to operate, and the best partitioning algorithms try to load-balance the partitions. Dynamic load-balancing, i.e. re-partitioning simulation environments at run-time, becomes essential when the load in the partitions change. In decentralised distributed simulation the information needed to dynamically load-balance seems difficult to collec...