The heterogeneous cellular networks (HCNs) with device-to-device (D2D) communications have been a promising solution to cost-efficient delivery of high data rates. A key challenge in such D2D-enabled HCNs is how to design an effective association scheme with D2D model selection for load balancing. Moreover, the offloaded users and D2D receivers (RXs) would suffer strong interference from BSs, e...

We develop load balancing algorithms for WDM-based packet networks in which the average traffic between nodes is dynamically changing. In WDM-based packet networks, routers are connected to each other using wavelengths (lightpaths) to form a logical network topology. This logical topology may be reconfigured by rearranging the lightpaths connecting the routers. The goal of our load balancing al...

Video-on-Demand (VoD) has been an active area of research for the past few years in the multimedia research community. Significant research efforts have been directed towards reduction of network bandwidth requirements, improvement of server utilization, and minimization of start-up latency. Server load and network bandwidth are the major performance issues in streaming video over the Internet....

In the current scenario important focus is on the development load balancing algorithms for cloud computing. In this paper, different kinds of load balancing algorithms are analyzed for cloud computing, to make the network load equally divided in order to provide faster connectivity for all the devices that need the service. Among implemented load balancing algorithms, ant colony optimization a...

Parallel incremental scheduling is a new approach for load balancing. In parallel scheduling,all processorscooperatetogether to balance the workload. Parallel scheduling accuratelybalances the load by using global load information. In incremental scheduling, the system scheduling activity alternates with the underlying computation work. This paper provides an overview of parallel incremental sc...

Distributed systems have been an active research area in computer science for the last decade, task allocation and load balancing have been a major issue associated with such systems. The load-balancing problem, attempts to compute the assignment with smallest possible makespan (i.e. the completion time at the maximum loaded computing node). Load balancing problem is a NP hard problem. This pap...

The policy in dynamic load balancing, classification and function are variety based on the focus study for each research. They are different but employing the same strategy to obtain the load balancing. The communication processes between policies are explored within the dynamic load balancing and decentralized approaches. At the same time the computation processes also take into consideration ...

Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines. In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. W...

The capability of MPLS of explicit routing as well as of splitting of the traffic on several paths allows load balancing. Using known load balancing algorithms as a starting point, the main goal of this paper is to formulate optimization problems that differentiate service classes in terms of mean delay. The differentiation is achieved by using both WFQ-scheduling and routing. We have approxima...

A trace-driven simulation study of dynamic load balancing in homogeneous distributed systems supporting broadcasting is presented. We use information about job CPU and 1/0 demands collected from a production system as input to a simulation model that includes a representative CPU scheduling policy and considers the message exchange and job transfer costs explicitly. Seven load balancing algorit...