[PDF] Top 20 The Task Scheduling Problem: A NeuroGenetic Approach
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The Task Scheduling Problem: A NeuroGenetic Approach
... most scheduling problems, the task scheduling problem is NP-Hard in nature (Kasahara and Narita, 1984) and therefore exact methods for finding the optimal solution are impractical for solving ... See full document
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An Improved Genetic-based Approach to Task Scheduling in Inter-Cloud Environment
... of problem. Reference [2] utilizes GA to solve the problem of slow convergence speed of ACO ...huge problem to be considered for cloud service ...conscious task scheduling strategy is ... See full document
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Hybrid Task Scheduling Approach using Gravitational and ACO Search Algorithm
... resources scheduling is essential for executing workflows in the cloud platform because it relates to both the execution time and execution ...For scheduling T tasks on R resources, an ant in ACS represents ... See full document
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Deadline Constrained Task Scheduling with Load Balancing in Cloud Computing Environment
... latency problem existing in the ...common approach to handle this problem is to develop some possible schedules and choose the most suitable one which would minimize migration and maximize resource ... See full document
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A Survey on QoS Based Task Scheduling Approach in Grid Computing
... major problem which arises in the area of Grid Computing is the task scheduling which tends to select the best resource for a given ...many scheduling heuristics (online and batch mode) are ... See full document
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OTSA: An Optimal Task Scheduling Approach
... Today, scheduling is a form of decision making that continuously investigate by researchers in various fields of management, industrial engineering, operations research and computer ...years, scheduling ... See full document
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Branch and Bound Method for Scheduling Precedence Constrained Tasks on Parallel Identical Processors
... multiprocessor scheduling problem is one of the classic NP-hard optimization ...the problem of scheduling tasks to parallel processors with the goal of minimizing ex- ecution ...the ... See full document
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A hybrid algorithm for grid task scheduling problem
... Task scheduling in Grid Computing contains a set of tasks that should be run on a limited set of ...of task scheduling in Grid systems is offering a time table for executing all tasks and ... See full document
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New Task Domain Propagators with Polynomial Complexity for Resource Constrained Project Scheduling Problem
... solve scheduling problems including RCPSP. This approach is used in well-known solvers, ...make task domains tighter and add new precedence ... See full document
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A GRASP-based approach to the multi activity combined timetabling and crew scheduling problem considering a heterogeneous workforce Pages 597-606 Download PDF
... Finally, Ladier (2014) propose a weekly timetabling and a daily rostering problem for warehouse personnel. Authors claim that, in logistics context, the qualifications are very specific to a person: two employees ... See full document
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A Column Generation Approach to Scheduling of Real-Time Networks
... larger task networks more eff ciently the number of variables and constraints in the pricing problems has to be ...generation approach, provided that we pinpoint which constraints are responsible for the ... See full document
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Bicriteria Continuous Tasks Scheduling Using Genetic Algorithm
... tasks scheduling algorithm pp-GA is proposed in this ...optimization problem, Adaptive Weight Approach (AWA) which is one of weighted-sum approach, was ...tasks scheduling algorithm in ... See full document
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Task scheduling and resource allocation in cloud computing using a heuristic approach
... Thus, task scheduling and re- source allocation are mandatory parts of cloud computing ...the scheduling and load balancing methodologies, rather than the random allocation of ...complex task ... See full document
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Load Balancing Approach for Scheduling Sequential Task in Grid Computing Environment
... different task/job processing capabilities, different memory segment and because of heterogeneous nature of computing node a load imbalance exists between nodes therefore a special load balancing scheme is needed ... See full document
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Self-Determining Automobile Robot Movement Using Travelling Salesman Problem with Genetic Algorithm Search Technique
... Hybrid scheduling algorithms can be combined with both heuristic scheduling algorithms and GA for better optimized ...a scheduling method named travelling salesman problem (TSP) with genetic ... See full document
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Investigation of Data Locality and Fairness in MapReduce
... For MapReduce, several enhancements have been proposed to improve data locality. In an environment where most jobs are small, delay scheduling can improve data locality by delaying the scheduling of tasks ... See full document
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Volume 2, Issue 7, July 2013 Page 372
... multiprocessor task scheduling problem(MPTS) where number of processors as well as number of processes both are taken as ...of task on different processors is known in ...two task is ... See full document
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Implementation Methodology of Real-Valued Augmented Simulated Annealing Algorithm for Dependent Task Scheduling
... ii P. Chitra, R. Rajaram, P. Venkatesh, Application and comparison of hybrid evolutionary multiobjective optimization algorithms for solving task scheduling problem on heterogeneous systems, Applied ... See full document
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Task Scheduling in Big Data Review, Research: Challenges, and Prospects
... default scheduling policy of FIFO which schedules the jobs coming first and gets higher priority than the later one that leads to starvation of ...Fair Scheduling in Hadoop makes an equal share of computing ... See full document
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Deadline and Suffrage Aware Task Scheduling Approach for Cloud Environment
... based task scheduling approach which not only improves the makespan, resource utilization and profit of service provider but also handles the tasks according to their ...Proposed approach has ... See full document
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