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[PDF] Top 20 Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

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Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

... for job scheduling in gird ...levy algorithm to adaptive random ...scale job scheduling problem involving 2 resources and 10 jobs represented as (2, ...the job length of 10 jobs ... See full document

5

Job Scheduling in Grid Computing with Cuckoo Optimization Algorithm

Job Scheduling in Grid Computing with Cuckoo Optimization Algorithm

... Genetic algorithm based scheduler for grid ...each job, taking into account arbitrary precedence constraints and arbitrary processing ...(GSA) algorithm which combines genetic algorithm ... See full document

6

Dynamic Cluster Scoring Job Scheduling algorithm for grid computing

Dynamic Cluster Scoring Job Scheduling algorithm for grid computing

... Abstract— Grid is a parallel and distributed system, shares the resources among multiple administrative ...domains. Job scheduling is one of the major issues in the grid ...Effective ... See full document

5

GLOA: A New Job Scheduling Algorithm for Grid Computing

GLOA: A New Job Scheduling Algorithm for Grid Computing

... resource scheduling in computational grids has an important role in improving the ...The grid environment is very dynamic, with the number of resources, their availability, CPU loads, and the amount of ... See full document

6

Job Scheduling in Grid Computing using User
          Deadline

Job Scheduling in Grid Computing using User Deadline

... of grid computing and the scheduling ...between grid and various other computing ...particle swarm optimization that suggests Meta heuristic ...suffrage algorithm within ... See full document

6

Memoir: A History based Prediction for Job Scheduling in Grid Computing

Memoir: A History based Prediction for Job Scheduling in Grid Computing

... demand-based grid computing system that allows end users to transparently access and use globally distributed hardware and software ...more scheduling processes associated with ... See full document

13

SURVEY OF JOB GROUPING BASED SCHEDULING IN GRID COMPUTING

SURVEY OF JOB GROUPING BASED SCHEDULING IN GRID COMPUTING

... Grid computing can be solve complex tasks in less time and utilizes the hardware ...best job scheduling strategies have to be employed to make the grid work ...efficiently. Job ... See full document

9

Load Balancing Approach for Scheduling Sequential Task in Grid Computing Environment

Load Balancing Approach for Scheduling Sequential Task in Grid Computing Environment

... technology, grid computing have increasingly becomes an attractive computing platform for a variety of ...for job scheduling based on genetic algorithm to schedule the sequential ... See full document

7

Improved Task Scheduling Algorithm in Cloud Environment

Improved Task Scheduling Algorithm in Cloud Environment

... various Job Scheduling algorithms like Efficient Utilization of Computing Resources Using Highest Response Next Scheduling in Grid, Node Allocation in Grid Computing Using ... See full document

7

A Time Minimization Dynamic Job Grouping based Scheduling in Grid Computing

A Time Minimization Dynamic Job Grouping based Scheduling in Grid Computing

... In grid computing, there are some works on grouping based job scheduling as discussed ...while scheduling large number of fine-grained jobs onto remote resources for analyzing massive ... See full document

10

Comparative analysis of Job Scheduling algorithms, A Review

Comparative analysis of Job Scheduling algorithms, A Review

... a grid computing based algorithm. In the grid computing environment, the primart parts are computing grid as well as data ...a grid is quite difficult. In order to ... See full document

6

IMPROVED JOB-GROUPING BASED PSO ALGORITHM FOR TASK SCHEDULING IN GRID COMPUTING

IMPROVED JOB-GROUPING BASED PSO ALGORITHM FOR TASK SCHEDULING IN GRID COMPUTING

... Particle Swarm Optimization (PSO) is a swarm-based intelligence algorithm [6] influenced by the social behaviour of animals such as a flock of birds, finding a food source or a school of fish ... See full document

9

A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem

A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem

... [5]. Artificial intelligence algorithm is mainly used to simulate the behavior of biological groups in ...parallelism, fast search speed, ...genetic algorithm, simulated annealing, particle ... See full document

10

Scheduling Problem of Shared Car Based on Fish Swarm Algorithm

Scheduling Problem of Shared Car Based on Fish Swarm Algorithm

... The algorithm establishes artificial fish model according to the biological instinct of the fish, that is, foraging, clustering and rear end ...the fish, it starts from the bottom ... See full document

5

Priority based Job Scheduling Algorithm in Cloud Computing

Priority based Job Scheduling Algorithm in Cloud Computing

... Services. The Infrastructure as a Service (IaaS) model lets the client to dynamically scale up or scale down the resources like processing power, storage capacity, network bandwidth etc. Example: Amazon EC2, Eucalyptus, ... See full document

8

Job Scheduling in Cloud Computing Using Genetic Algorithm

Job Scheduling in Cloud Computing Using Genetic Algorithm

... (SJF) algorithm is a special case of general priority scheduling ...SJF algorithm is simply a priority algorithm where the priority is the inverse of the (predicted) next CPU ... See full document

5

An improved artificial fish swarm algorithm for optimal operation of cascade reservoirs

An improved artificial fish swarm algorithm for optimal operation of cascade reservoirs

... In AFSA, the food consistence in water is defined as the objective function, and the state of an AF is the variable to be optimized. Preying behavior is that AF moves randomly according to its fitness value, thus it is ... See full document

7

Certain Investigations on Opulence Split Algorithm and Particle Swarm Optimization Algorithm for Task Scheduling in a Virtualized Cloud Environment

Certain Investigations on Opulence Split Algorithm and Particle Swarm Optimization Algorithm for Task Scheduling in a Virtualized Cloud Environment

... involves scheduling of tasks using the various algorithmic techniques ...While scheduling tasks, the algorithms pursue a similar vitality in every circumstance once in a while prompting increment in ... See full document

6

A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING

A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING

... PSO is combined with Genetic Algorithm (GA) in Hybrid GAPSO algorithm. [10,11] To get a better result, this proposed methodology introduced the enhancement, selection, crossover, and mutation operators. GA ... See full document

8

An Improved Task Scheduling Algorithm in Grid Computing Environment

An Improved Task Scheduling Algorithm in Grid Computing Environment

... task scheduling and execution, the dependence tasks possibly become the current “independence mandate”, which are scheduled until all tasks are ...of scheduling at any time or has been or is being ... See full document

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