One of the critical scheduling problems in distributed computing environment is load balancing on a cluster of replicated servers which face a constant pressure of increased network traffic and diverse load levels. The key issue in server load balancing in a DCS is to select an effective load balancing scheme to distribute clients’ requests to the servers. In this paper, we have investigated th...

In MIPv6 network most of the HA load balancing deals with Dynamic Home Agent Address Discovery (DHAAD). Load balancing of multiple Home Agents (HAs) has not been standardized. Our contribution in this paper, Dynamic HA selection with Load Balancing mechanism (DHSLB) mechanism is categorized into two phases. First, we introduce HA selection based on preference value and load. Second, we analyze ...

Computational requirements of full scale computational fluid dynamics change as computation progresses on a parallel machine. The change in computational intensity causes workload imbalance of processors, which in turn requires a large amount of data movement at runtime. If parallel CFD is to be successful on a parallel or massively parallel machine, balancing of the runtime load is indispensab...

In present days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet.But it has more critical issue like security, load management and fault tolerance. In this paper we are discussing Load Balancing approach. Many types of load concern with cloud like memory load, CPU load and network load. Load balancing ...

In large-scale distributed computing systems, in which the computational elements are physically or virtually distant from each other, there are communication-related delays that can significantly alter the expected performance of load-balancing policies that do not account for such delays. This is a particularly significant problem in systems for which the individual units are connected by mea...

Scheduling and load-balancing techniques play an integral role in reducing the overall execution time of scientific applications on clustered multi-node systems. The increasing computational complexity and higher modeling resolutions of scientific applications makes balanced resource allocation a high priority. While many existing load-balancing approaches attempt to reduce cluster communicatio...

Load Balancing is the standout amongst the most noteworthy parts in circulated situations. As Cloud Computing is outstanding amongst other stage that gives stockpiling of information in extremely insignificant cost and available forever finished the internet, load balancing for the cloud computing has transformed into an exceptionally intriguing and imperative investigation region. Load balanci...

Vehicles participating in the mobile network may host different number of virtual servers and they are enable to balance their load in the reallocation of different vehicles. Most decentralized load blancing algorithms designed for adhoc networks based on their virtual servers requires the vehicle to be asymmetric, where as some serve as the rendezvous vehicle to pair virtual servers and partic...

We present two generic schemes for heuristic backtracking search on massively parallel MIMD systems. The rst one employs a dynamic work-load balancing strategy based on recursive stack splitting. Due to high communication overheads it can only be run on moderately parallel systems with up to 256 processors. Our second scheme employs a work-load balancing strategy based on pre-computed, xed work...

In today’s environment, the day to day business operations of organizations heavily rely on the automated processes from enterprise IT infrastructures. The cloud computing is an internet based concept which are dynamically scalable in nature and provide the virtualized resources, which are provided as service over the internet. Load balancing is one of the main challenging issues in cloud compu...