dynamic load-balancing on hierarchical platforms. In particular, we consider applications involving heavy communications on a distributed platform. The work-stealing algorithm introduced by Blumofe and Leiserson is a commonly used technique to balance load in a distributed environment but it suffers from poor performance with some communication-intensive applications. We describe here several v...

This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of the previous load balancing algorithms, this algorithm maintains locality. We show that the cost of this load balancing algorithm is small for practical situations and discuss some interesting applications for data remapping. Index Terms Data locality, irregularity, load balancing, mapping, prob...

Cloud computing mainly deals with networking, software, data access and storage services that may not require end-user knowledge of the physical location and configuration of the system that is delivering the services. In the cloud storage, load balancing is a key issue. Load balancing is one of the main challenge in cloud computing which is required to distribute the dynamic workload across mu...

This paper presents a simple load balancing algorithm and its probabilistic analysis. Unlike most of the previous load balancing algorithms, this algorithm maintains locality. We show that the cost of this load balancing algorithm is small for practical situations and discuss some interesting applications for data remapping. Index Terms Data locality, irregularity, load balancing, mapping, prob...

Many parallel scienti c applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and communication structure. This allows us to embed measurement-based automatic load balancing framework in run-time systems of parallel languages that are used to build such applications. In this paper, we describe such a framework ...

In this paper, we present a new load balancing system based on aspect oriented approach for multi agents distributed systems. The proposed model is based on using a dispatcher agent assigned to dynamically distribute tasks received in random requests coming from agent producers. We suppose that tasks are assigned to be executed by workers agents deployed over the nodes of the distributed system...

To provide a reliable and efficient service, load balancing plays an important role in wireless sensor networks (WSNs). There is a need to maximize the network lifetime for WSNs applications with periodic generation of data. Due to the relationship between energy consumption and network sensor node lifetime, energy consumption in a network should be minimized and balanced in order to increase n...

As universal mobile telecommunications system (UMTS) and wireless local area network (WLAN) have complementary characteristics, convergence of UMTS and WLAN offer seamless wireless access service to users. In a converged UMTS/WLAN enhancing quality of service (QoS) for different services require call admission control and load balancing. This paper analyses the performance of wideband power bas...

Decrease in hardware costs and advances in computer networking technologies have led to increased interest in the use of large-scale parallel and distributed computing systems. One of the biggest issues in such systems is the development of effective techniques/algorithms for the distribution of the processes/load of a parallel program on multiple hosts to achieve goal(s) such as minimizing exe...

The concept of the Cloud computing has significantly changed the field of parallel and distributed computing systems today. Cloud computing enables a wide range of users to access distributed, scalable, virtualized hardware and/or software infrastructure over the Internet. Load balancing is the process of distributing the load among various nodes of a distributed system to improve resource util...