Circuits and Systems

Circuits and Systems

ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.net/journal/cs
E-mail: [email protected]
"Trust Based Meta-Heuristics Workflow Scheduling in Cloud Service Environment"
written by G. Jeeva Rathanam, A. Rajaram,
published by Circuits and Systems, Vol.7 No.4, 2016
has been cited by the following article(s):
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[1] Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directions
The Journal of Supercomputing, 2024
[2] Service application model design for users using fuzzy semantic ontology model in cloud computing
Journal of Intelligent …, 2024
[3] Security prioritized multiple workflow allocation model under precedence constraints in cloud computing environment
Cluster Computing, 2023
[4] Cauchy particle swarm optimization (cpso) based migrations of tasks in a virtual machine
Wireless Personal Communications, 2022
[5] Trust-Based and Optimized RPL Routing in Social Internet of Things Network
2022
[6] Trust Aware Multi-Objective Metaheuristics for Workflow Scheduling in Cloud Computing
… on Machine Learning, Big Data, Cloud …, 2022
[7] Cost Effective Hybrid Fault Tolerant Scheduling Model for Cloud Computing Environment
International Journal of …, 2021
[8] Survey of Trust based Security for SaS in Cloud computing Environment
2020
[9] Resource Allocation Based on Matchmaking Services in Multiple Clouds Using Trustworthy and Scalable Service Providers Algorithm
International Journal of Intelligent Engineering and Systems, 2019
[10] Resource Allocation Based on Matchmaking Services in Multiple Clouds Using Trustworthy and Scalable Service Providers Algorithm.
International Journal of Intelligent …, 2019
[11] Critical Path-Based Ant Colony Optimization for Scientific Workflow Scheduling in Cloud Computing Under Deadline Constraint
Ambient Communications and Computer Systems, 2018
[12] A review on methodologies of scientific workflow scheduling algorithm under dead line constraint
2017
[13] Dynamic pricing on maximum concurrency for heterogeneous instances using hyperparameter optimization in dueling deep reinforcement learning in a multi-cloud …
[14] Multi-objective comprehensive container scheduling and resource allocation for container cloud using tuna swarm optimization algorithm
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