Cloud computing is deployed in the data centre where physical machine are virtualized. Cloud computing being the new technology has both advantages and disadvantages; one of the issues which cloud computing faces is load balancing. More than one virtual machine runs above the Virtualization. Load balancing in cloud computing is emerging topic which needs to be researched and study. The data cen...

P2P Grids could solve large-scale scientific problems by using geographically distributed heterogeneous resources. However, a number of major technical obstacles must be overcome before this potential can be realized. One critical problem to improve the effective utilization of P2P Grids is the efficient load balancing. This chapter addresses the above-mentioned problem by using a distributed l...

We develop a general technique for the quantitative analysis of iterative distributed load balancing schemes. We illustrate the technique by studying two simple, intuitively appealing models that are prevalent in the literature: the diffusive paradigm, and periodic balancing circuits (or the dimension exchange paradigm). It is well known that such load balancing schemes can be roughly modeled b...

Session Initiation Protocol (SIP) high availability, reliability and redundancy are determined by the ability of the core SIP network components to offer high quality SIP services in the event(s) of high call transactions, link outages, device failures, misconfigurations and security attacks. In this context, load balancers can be used to achieve redundancy and active load balancing of SIP tran...

Load balancing is the process of improving the performance of a parallel and distributed system through a redistribution of load among the processors [1] [5]. In this paper we present the performance analysis of various load balancing algorithms based on different parameters, considering two typical load balancing approaches static and dynamic. The analysis indicates that static and dynamic bot...

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 ...

The workload on a cluster system can be highly variable, increasing the difficulty of balancing the load across its nodes. The general rule is that high variability leads to wrong load balancing decisions taken with out-of-date information and difficult to correct in real-time during applications execution. In this work the workload variability is studied from the perspective of the load balanc...

Abstract—This paper explain the primary balancing of single cylinder engine and optimizing the counter balancing mass to reduce the unbalanced forces coming on the crankshaft. After optimizing, the effect of primary balancing is validated. After primary balancing, the vibration is measured on the engine at various locations. Balancer shaft is designed for the unbalanced forces exist after prima...

Conventional load balancing schemes are efficient at increasing the utilization of CPU, memory, and disk I/O resources in a Distributed environment. Most of the existing load-balancing schemes ignore network proximity and heterogeneity of nodes. Load balancing becomes more challenging as load variation is very large and the load on each server may change dramatically over time, by the time when...

Based on ServiceBSP model, a hierarchical resource load balancing algorithm with Multi-Agent is put forward in this paper which achieves the goal of dynamic load balancing and favorable Fault-tolerant. The algorithm calculates the load value according to the attributes of resource and scheduling tasks relies on the load value, while updating the load information dynamically depending on Multi-A...