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...

With commercial supercomputers and homogeneous clusters of PCs, static load balancing is accomplished by assigning equal tasks to each processor. With heterogeneous clusters, system designers have the option of adding newer hardware that is more powerful than existing hardware. When this is done, assignment of equal tasks to each processor yields suboptimal performance. This research addresses ...

Load balancing in grid based distributed computing environment increases the availability and scalability of entire system. Dynamic load balancing has the potential to perform better than static load balancing, but they are inevitably more complex. The overhead involved is much more but one can not negate their benefits. Load balancing strategies try to ensure that every processor in the system...

The design of a general-purpose dynamic load balancing library for a vast variety of parallel applications is more challenging than the design of a static partitioning library. The dynamic load balancing library needs to be implemented in parallel with the application and must utilize memory efficiently, so that the application scalability is not affected. This paper studies the need for a dyna...

Cloud computing is a model that points at streamlining the on-demand provisioning of software, hardware and data as services and providing end-users with flexible and scalable services accessible through the Internet. The main objective of the proposed approach is to maximize the resource utilization and provide a good balanced load among all the resources in cloud servers. Initially, a load mo...

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 ...

This paper presents techniques for dynamic load balancing in heterogeneous computing environments. That is, the techniques are designed for sets of machines with varying processing capabilities and memory capacities. These methods can also be applied to homogenous systems in which the effective compute speed or memory availability is reduced by the presence of other programs running outside the...

This work considers the problem of efficiently performing a set of tasks using a network of processors in the setting where the network is subject to dynamic reconfigurations, including partitions and merges. A key challenge for this setting is the implementation of dynamic load balancing that reduces the number of tasks that are performed redundantly because of the reconfigurations. We explore...

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...