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Maximizing availability for task scheduling in computational grid using genetic algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Introduction to Queuing Theory
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System availability assessment using stochastic models
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Security‐aware scheduling model for computational grid
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Observing the effect of interprocess communication in auto controlled ant colony optimization‐based scheduling on computational grid
inferredcites →https://doi.org/10.1007/11914952_13openalex-snapshot
A Decentralized Strategy for Genetic Scheduling in Heterogeneous Environments
inferredcites →https://doi.org/10.1007/978-0-387-74483-4openalex-snapshot
Scheduling in Distributed Computing Systems
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Introduction to Queuing Theory
inferredcites →https://doi.org/10.1007/978-3-540-69277-5_1openalex-snapshot
Meta-heuristics for Grid Scheduling Problems
inferredcites →https://doi.org/10.1007/s11227-012-0864-9openalex-snapshot
A novel scheduling model for computational grid using quantum genetic algorithm
inferredcites →https://doi.org/10.1016/0378-7206(93)90016-mopenalex-snapshot
An evaluation method for the availability of a distributed database management system
inferredcites →https://doi.org/10.1016/j.future.2009.11.005openalex-snapshot
Computational models and heuristic methods for Grid scheduling problems
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A novel parallel quantum genetic algorithm for stochastic job shop scheduling
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Scheduling: Theory, Algorithms, and Systems
inferredcites →https://doi.org/10.1109/71.737699openalex-snapshot
Coding for high availability of a distributed-parallel storage system
inferredcites →https://doi.org/10.1109/ccgrid.2010.121openalex-snapshot
Availability Prediction Based Replication Strategies for Grid Environments
inferredcites →https://doi.org/10.1109/cscwd.2006.253249openalex-snapshot
The Measurement Model of Grid QoS
inferredcites →https://doi.org/10.1109/hpc.2000.846563openalex-snapshot
Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid
inferredcites →https://doi.org/10.1109/hpcs.2005.27openalex-snapshot
Genetic Algorithm Based Scheduler for Computational Grids
inferredcites →https://doi.org/10.1109/iti.2007.4283857openalex-snapshot
The Measurement of Grid QoS Parameters
inferredcites →https://doi.org/10.1109/parelec.2006.8openalex-snapshot
A Simulation Model for Grid Scheduling Analysis and Optimization
inferredcites →https://doi.org/10.1109/tr.2002.1011525openalex-snapshot
System availability with non-exponentially distributed outages
inferredcites →https://doi.org/10.1109/tsmcc.2008.2001722openalex-snapshot
An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements
inferredcites →https://doi.org/10.1142/s0129053300000187openalex-snapshot
A GA BASED MULTIPLE TASK ALLOCATION CONSIDERING LOAD
inferredcites →https://doi.org/10.1145/1274000.1274111openalex-snapshot
Introduction to genetic algorithms
inferredcites →https://doi.org/10.1371/journal.pone.0018766openalex-snapshot
Optogenetic Long-Term Manipulation of Behavior and Animal Development
inferredcites →https://doi.org/10.1371/journal.pone.0024914openalex-snapshot
Persistence and Availability of Web Services in Computational Biology
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Probability and Statistics With Reliability, Queuing, and Computer Science Applications.
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A decentralized strategy for genetic scheduling in heterogeneous environments
inferredcites →https://doi.org/10.4018/jdst.2011040102openalex-snapshot
Reliability Based Scheduling Model (RSM) for Computational Grids
inferredcites →https://doi.org/10.4018/jghpc.2009070806openalex-snapshot
GA Based Scheduling Model for Computational Grid to Minimize Turnaround Time
inferredcites →https://doi.org/10.4018/jghpc.2011010101openalex-snapshot
A Computational Grid Scheduling Model To Maximize Reliability Using Modified GA
inferredcites →https://doi.org/10.4018/jghpc.2012010105openalex-snapshot
Observations on Effect of IPC in GA Based Scheduling on Computational Grid
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.5923/j.ac.20110101.02openalex-snapshot
Load Balancing in Computational Grid Using Genetic Algorithm
inferredcites →https://doi.org/10.7551/mitpress/3927.001.0001openalex-snapshot
An Introduction to Genetic Algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Maximizing availability for task scheduling in on‐demand computing–based transaction processing system using ant colony optimization
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Job Scheduling in Computational Grid Using a Hybrid Algorithm Based on Genetic Algorithm and Particle Swarm Optimization
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Maximizing Availability and Minimizing Markesan for Task Scheduling in Grid Computing Using NSGA II
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Provisioning and Resource Allocation in Computational Mobile Grid Using Mobile Agent
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On scheduling transactions in a grid processing system considering load through Ant Colony Optimization
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Improved auto control ant colony optimization using lazy ant approach for grid scheduling problem
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An intelligent/cognitive model of task scheduling for IoT applications in cloud computing environment
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Heuristic Search Based Localization in Mobile Computational Grid
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Quantitative Measurement of Scientific Software Quality: Definition of a Novel Quality Model
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Cuckoo Search-Ant Colony Optimization Based Scheduling in Grid Computing
inferred← citeshttps://doi.org/10.1145/3288599.3298791openalex-snapshot
Load balanced transaction scheduling in on-demand computing using cuckoo search-ant colony optimization
inferred← citeshttps://doi.org/10.1371/journal.pone.0207596openalex-snapshot
Application-aware deadline constraint job scheduling mechanism on large-scale computational grid
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A Novel Approach to Task Scheduling using The PSO Algorithm based Probability Model in Cloud Computing
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Comparative Study of Some Nature-Inspired Meta-Heuristics for Task Scheduling in a Computational Grid System
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A Novel Hybrid Algorithm Based on Firefly Algorithm and Differential Evolution for Job Scheduling in Computational Grid
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Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis
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