This paper presents and evaluates a mechanism for the load control with QoS supported in IEEE 802.11b Wireless LANs. Our mechanism named Enhanced Load Balance (ELB) dynamically adapts load distribution over APs to achieve load balance. The ELB mechanism balances the load by STAs’ statistical traffic load. This mechanism also performs admission control to avoid congestion. The ELB mechanism main...

This article describes a new traffic engineering scheme based on a load balance reactive method for congestion control in MPLS networks that makes use of local search and fuzzy logic techniques. It is an algorithm based on the “First-Improve Dynamic Load Balance Algorithm” (FID) and it works with linguistic values while performing load balance decisions. Computer simulation experiments have sho...

Distributed simulations require partitioning mechanisms to operate, and the best partitioning algorithms try to load-balance the partitions. Dynamic load-balancing, i.e. re-partitioning simulation environments at run-time, becomes essential when the load in the partitions change. In decentralised distributed simulation the information needed to dynamically load-balance seems difficult to collec...

Schedulers used by modern OSs (e.g., Oracle Solaris 11 and GNU/Linux) balance load by balancing the number of threads in runqueues of different cores. While this approach is effective for a single CPU multicore system, we show that it can lead to a significant load imbalance across CPUs of a multiCPU multicore system. Because different threads of a multithreaded application often exhibit differ...

Data load balancing is one of the key problems of big data technology. As a big data application, Hadoop has had many successful applications. HDFS is Hadoop Distributed File System and has the load balancing procedure which can balance the storage load on each machine. However, this method cannot balance the overload rack preferentially, and so it is likely to cause the breakdown of overload m...

Parallelization of adaptive algorithms leads to problems with parallel efficiency. Adaptation is a method which introduces dynamic perturbations to computational environment. This in turn causes problems with proper load balance. To ensure proper efficiency of a parallel simulation it is necessary to perform load balancing whenever certain threshold of load balance is breached. In this paper au...

| Parallel scheduling is a new approach for load balancing. In parallel scheduling, all processors cooperate together to schedule work. Parallel scheduling is able to accurately balance the load by using global load information at compile-time or runtime. It provides a high-quality load balancing. This paper presents an overview of the parallel scheduling technique. Particular scheduling algori...

It is significant to apply load balancing strategy to improve the performance and reliability of resource in Cloud data centers. In a dynamic changing traffic environment, workload of a Cloud data center has real-time and fixed process time characteristics. One of the challenging scheduling problems in Cloud data centers is to take the real-time allocation and migration of reconfigurable virtua...