Since agents have the ability to migrate to outperforming resources they can potentially balance the load of heterogeneous systems. However, to balance resources efficiently agents must take the load into account. Thus, to support the agent migration strategy the application of server selection systems has been proposed recently. Server selection systems keep track of the load of network and ho...

This paper presents an agent-based resource scheduling algorithm for Grid computing systems. With this scheduling algorithm, the computational resources of the Grid can be dynamically scheduled according to the real-time working load on each node. Thus a Grid system can hold an excellent load balance state. Furthermore, the application of this algorithm is introduced into the practical protein ...

MPLS is the dominant technology in most backbone networks. MPLS-TE is able to handle various paths along different routes to balance the traffic load between two points of the network. In this paper we present a load balancing algorithm (LC) designed to reduce network congestion. The algorithm presented has been tested by simulation and implemented in a MPLS Linux lab test bed. Observed results...

With the exponential increase of the cloud business volume, Data center occurs load imbalance caused by some physical machine inefficiency due to the diversity of users requirements. Therefore the cloud datacenter need an appropriate algorithm to balance the PMs load and ensure the resource utilization in the cloud datacenter. The paper defines and formulates the problem parameters and proposes...

Multi-log2N networks architecture is attractive for constructing optical switches, and the related routing algorithms are critical for the operation and efficiency of such switches. Although several routing algorithms have been proposed for multi-log2N networks, a full performance comparison among them is not available by now. Thus, this paper is committed to such a comparison in terms of block...

We present a multiprocessor “stop-the-world” garbage collection framework that provides multiple forms of load balancing. Our parallel collectors use this framework to balance the work of root scanning, using static overpartitioning, and also to balance the work of tracing the object graph, using a form of dynamic load balancing called work stealing. We describe two collectors written using thi...

This paper presents a new market-based pricing scheme which aims to improve the link load balance in Grid networks. Simulation results show that the proposed scheme achieves a better link load balance and, thus, improves the network’s robustness and stability. At the same time, the scheme increases the network’s effective capacity as it enables to accommodate more new services. The results show...

Virtualization is an important enabling technology for many large data centers and cloud computing environments, and virtual machine (VM) migration plays a key role in the load balancing among the hosts of the data center. However, the existing load balancing schemes based on VM migration have serious influence on the fault-tolerant level of the services in the data center, and thus the reliabi...

This work proposes a load balance algorithm to parallel processing based on a variation of the classical knapsack problem. The problem considers the distribution of a set of partitions, defined by the number of clusters, over a set of processors attempting to achieve a minimal overall processing cost. The work is an optimization for the parallel fuzzy c-means (FCM) clustering analysis algorithm...

Channel assignment has been extensively studied in wireless network such as cellular network, with the appearance of the new multi-radio multi-channel network such as wireless mesh network and cognitive radio network, channel assignment in such network has been a hot research topic again. In this paper, we use game theory to study the channel assignment problem, we model channel assignment in m...