Load Balancers (LBs) play a critical role in managing the performance and resource
utilization of distributed systems. However, developing efficient LBs for large, distributed …

Online service providers, such as Amazon and Google, often dedicate thousands of nodes
for their applications, which typically receive thousands of requests per second. Clustered …

Cluster heterogeneity increases the difficulty of balancing the load across the system nodes.
Although the relationship between heterogeneity and load balancing is difficult to describe …

A distributed system consists of several autonomous nodes, where some of the nodes may
be overloaded due to a large number of job arrivals while others nodes are idle without any …

Load balance is an important problem of cluster. The core of cluster task distribution is the
load balance algorithm. LVS load balance technology is introduced briefly, the known load …

With ever increasing network traffic, dynamic load balancing can achieve improved
performance in a typical distributed system to cope with the fluctuating workload. The hybrid …

In this paper two new methods for load balancing in distributed systems are proposed. Both
methods are based on hierarchical structure. Hierarchical structure provides better load …

In order to address the throughput constraints of the system at minimal power consumption,
the workload of computing nodes should be balanced. This requires accounting for the …

Clusters have emerged as a primary and cost-effective infrastructure for parallel
applications, including communication-intensive applications that transfer a large amount of …

The problem of computing a large set of different tasks on a set of heterogeneous resources
connected by a network is very common nowadays in very different environments and load …