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12 articles for “parallel jobs”
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Research ArticleOpen accessPhrase in the titleA Neuro Fuzzy Technique for Process Grain Scheduling of Parallel JobsS. V. Sudha, K. ThanushkodiProblem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorithm … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,457 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Genetic Based Neuro Fuzzy Technique for Process Grain Sized Scheduling of Parallel JobsSadasivam Vijayakumar Sudha, Keppanagowder ThanushkodiProblem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractInverse Kinematics of a Stewart PlatformRelly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella et al.The development and diversification of machines and mechanisms with applications in all fields require new scientific researches for the systematization and improvement of existing mechanical systems by creating new mechanisms adapted to modern requirements, which involve increasingly complex topological structures. The modern industry, the practice of designing and building machinery is increasingly based on the results of scientific and applied … …Journal of Mechatronics and Robotics, Vol. 2, Issue 1 · 10 Mar 2018 · 14,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDFCite
Review ArticleOpen accessIn the abstractConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFECTIVE OPTIMIZED GENETIC ALGORITHM FOR SCALABLE INFORMATION RETRIEVAL FROM CLOUD USING BIG DATAR. Palson Kennedy, T. V. GopalThe distributed computations are broadly used in the current world for processing large scale jobs. For data intensive applications with big data, it has recently received a very good attention. A simple programming model that allows easy development of scalable parallel applications to process big data on large clusters was required. In our proposed work the input files will be … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybridization of Genetic Algorithm with Parallel Implementation of Simulated Annealing for Job Shop SchedulingThamilselvan Rakkiannan, Balasubramanie PalanisamyProblem statement: The Job Shop Scheduling Problem (JSSP) is observed as one of the most difficult NP-hard, combinatorial problem. The problem consists of determining the most efficient schedule for jobs that are processed on several machines. Approach: In this study Genetic Algorithm (GA) is integrated with the parallel version of Simulated Annealing Algorithm (SA) is applied to the job shop … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplicit Allocation Strategy with Deadline and Budget Constraint Algorithm in Bag of Tasks GridM. Suresh Kumar, T. PurusothamanProblem statement: This study is for effective scheduling of grid jobs based on economy for space shared resources in Bag of tasks grid. Grid Computing aims in combining the power of heterogeneous, geographically distributed, multi-domain computational resources to provide high performance or high throughput. Approach: Space shared resources are parallel supercomputers and clusters of workstations that provides a great amount … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 6,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecure Selection of Multiple Resources Based on Virtual Private Network for Computational GridsG. Kavitha, V. SankaranarayananProblem statement: Grid computing provides a virtual framework for controlled sharing of resources across institutional boundaries. In computational grids, a client application is executed on the available set of resources that satisfy the user QoS requirements. Some applications require exhaustive computation power for execution of its tasks. In general, these tasks are assigned to a single available resource on the … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 7,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm for Scheduling n Jobs on a Single Machine with a Stochastic Controllable Processing, Tooling Cost and Earliness-Tardiness PenaltiesMohamed Ali Abdel-Fattah MansourProblem statement: In this research, we addressed the problem of minimizing the earliness-tardiness penalties and manufacturing costs of a single machine with a stochastic controllable processing and tooling cost. Approach: We developed a mathematical non-linear integer programming model and its linearised version to find the optimal solution. We introduced a new genome representation in single machine scheduling literature that evolved … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,587 accessesView PDFCite