Load balancing guarantees a network greater performance and access to its resources, distributing traffic according to its priority, either through software or hardware using different algorithms, the same ones that are chosen depending on the type of service that is going to be used, in addition ...
Compared to the state-of-the-art algorithms, the proposed algorithm achieves up to 8.85% speedup depending on the number of videos that are being encoded concurrently on a video streaming server.doi:10.1080/00051144.2019.1618527Leon Dragić
dynamic load balancingdata partitioningfunctional performance models of heterogeneous processorsTraditional load balancing algorithms for data-intensive iterative routines can successfully load balance relatively small problems. We demonstrate that they may fail for large problem sizes on......
In this paper we contrast the performance of a number of different parallel dynamic load-balancing algorithms when used in conjunction with a particular parallel, adaptive, time-dependent, 3D flow solver. An overview of this solver is given along with a description of the dynamic load-balancing ...
Several static [2], [5], [6] and dynamic algorithms [7], [12], [13], [14], [15], [16], [17], [18], [19] for load balancing have been proposed in last decade. Static algorithm needs advanced information about the upcoming number of request (task) and information about availabl...
load balancing algorithm, asynchronousRoundRobin(ARR),forbalancingworkload ofparalleltreecomputationdepth-first-searchalgorithm on ClusterofHeterogeneousWorkstations (COW) Many algorithmsinartificialintelligenceandotherareasof compu tersciencearebasedondepthfirst ...
for dynamic load balancing algorithms. In particular, work stealing is an inherently distributed algorithm which is well suited for clusters whereas work sharing is inherently cen- tralized and is best suited for shared memory systems. Hierarchical schemes have also been proposed that of- ...
Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case – a Call Center that is operated in a Cloud environment. 展开 关键词: call center self-organization swarm intelligence load balancing ...
Several algorithms have been proposed for computing the optimal rectilinear partitioning of data to a linear array of processors. We introduce two fully parallel heuristics that compute sub-optimal partitions, in a more efficient way than the best known optimal algorithm. The goal of this paper is...
This is because these algorithms are not resource and deadline-aware. In this research, a Resource and deadline Aware Dynamic Load-balancer (RADL) for Cloud, tasks have been presented. The proposed scheduling scheme evenly distribute the incoming workload of compute-intensive and independent tasks...