2013
DOI: 10.5120/14588-2823
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Generalized Spring Tensor Algorithms: with Workflow Scheduling Applications in Cloud Computing

Abstract: In Cloud Computing, designing an efficient workflow scheduling algorithm is considered as a main goal. Load balancing is one of the most sophisticated methodologies, which can optimize workflow scheduling by distributing the load evenly among available resources. A well-designed load balancing algorithm has significant impact on performance and output in Cloud Computing. Therefore, designing robust load balancing techniques to manage the networks' load has always been a priority. Researchers have proposed and … Show more

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“…{ ∑ ANM, however, was suggested as a coarse gained model which is using the simpler Hookian potentials to bypass the energy minimization needed for measuring the direction of the load [9]. ANM is using Hessian matrixes shown in equation 2 with super elements, where each element is a tensor and is the interaction tensor between and [10][11].…”
Section: Proposed Solution: Generalized Spring Tensor Model (Stem)mentioning
confidence: 99%
“…{ ∑ ANM, however, was suggested as a coarse gained model which is using the simpler Hookian potentials to bypass the energy minimization needed for measuring the direction of the load [9]. ANM is using Hessian matrixes shown in equation 2 with super elements, where each element is a tensor and is the interaction tensor between and [10][11].…”
Section: Proposed Solution: Generalized Spring Tensor Model (Stem)mentioning
confidence: 99%