Cloud computing (CC) almost all IT resources can be delivered as a cloud service: applications, compute power, storage capacity, networking, programming tools, even communications services and collaboration tools. In other word CC defines the data is mostly resident on servers ‘somewhere on the Internet’ and the application runs on both the ‘cloud servers’ and the user’s browser. Load balancing...

In this work we introduce a new algorithm for in-core parallel sorting integer keys which is based on the overpartitioning scheme introduced by Li and Sevcik [1]. The algorithm is devoted to clusters with processors running at different speeds i.e. correlated by a multiplicative constant factor. We compare experimentally this approach with another one related to the Parallel Sorting by Regular ...

Structured peer-to-peer (P2P) overlay networks like Distributed Hash Tables (DHTs) map data items to the network based on a consistent hashing function. Such mapping for data distribution has an inherent load balance problem. Thus, a load balancing mechanism is an indispensable part of a structured P2P overlay network for high performance. The rapid development of P2P systems has posed challeng...

As IPv6 deployment grows, it is important to develop new measurement techniques that allow us to study the IPv6 Internet. We implement an IPv6 version of the Multipath Detection Algorithm and use it from 12 geographically-distributed vantage points on two different platforms to characterize IPv6 routers that perform load balancing. Overall, we find that 74% of IPv6 routes traverse at least one ...

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...

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...

A new kind of wireless multi-hop network architecture called Wireless Mesh Network (WMN) has recently attracted much attention. WMNs have recently gained a lot of popularity due to their rapid deployment, instant communication capabilities and support for many types of application. For these applications, network congestion and interference is the main reasons for lower throughput and longer de...

Dynamic load balancing is an important factor affecting the parallel computing performance in a multiprocessor system. On the basis of an introduction to the principle of dynamic load balancing algorithm, we will find the rated efficiency, throughput, speedup, performance of the multiprocessor systems , in case of load balancing we finds through analysis that the basic reason for overhead occur...

Balancing computational loads is a topic where the conflicting demands of general and optimal solutions result in a great variety of strategies, each tailored to the specific needs of the application in question. This work develops a method for balancing a computational load where large sets of input data may be examined in advance, but where requests on this set may appear and change continuou...

We propose, design, implement and test a prototype for load balancing in distributed systems. It is based on ideas from a new analytical model, the multiclass G-Network with triggered customer movement, which is used to model strategies for load balancing. We summarize the new results on \product form networks" which extend the analytical formulas previously derived for multiclass networks 19] ...