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Load Balance

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Load Balance
Publications: 14,528| Citation Count: 102,143
Stemming Variations: load balancing, load balanced, load balanceing, load balanc, load balancer
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    • Load Balancing is a technique of spreading the single computer's work between two or more computers or other resources in order to get optimal resource utilization, maximized throughput and minimized response time. The main focus of our survey is, determining the problems faced while Load balancing in clustered web servers and identifying a solution...

    R. Muley, et al. High performance load balancing schemes for cluster based secure web s...

    • Load balancing is a technique which allows efficient parallelization of irregular workloads, and a key component of many applications and parallelizing runtimes. Work-stealing is a popular technique for implementing load balancing, where each parallel thread maintains its own work set of items and occasionally steals items from the sets of other threads...

    Maged M. Michael, et al. Idempotent work stealing

    • Load balance is an important issue for the performance of software distributed shared memory (DSM) systems. One solution of addressing this issue is exploiting dynamic thread migration. In order to reduce the data consistency communication increased by thread migration, an effective load balance scheme must carefully choose threads and destination nodes for workload migration...

    Yi-chang Zhuang, et al. A Group-Based Load Balance Scheme for Software Distributed Shared Memo...

    • Load balancing is an important prerequisite to efficiently execute dynamic computations on parallel computers. In this context, this project has focussed on two topics: balancing dynamically generated work load cost efficiently in a network and partitioning graphs to equally distribute connected tasks on the processing nodes while reducing the communication overhead...

    Burkhard Monien, et al. A3: On Balancing of Dynamic Networks

    • Load balancing is a difficult problem whose solution cangreatly increase the speedup one achieves in a paralleldistributed memory environment. The necessity forload balancing can arise not only from the structureor dynamics of one's problem, but from the need tocompete for processor time with other users. Givena lengthy computation, the ability to exploit changesin processor loads when allocating work or decidingwhether to reallocate work is critical in making the computation...

    Stephen M. Majercik. Reinforcement Learning for Selfish Load Balancing in a Distributed Mem...

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