Genetic-Based Algorithms Applied to a Workflow Scheduling Algorithm with Security and Deadline Constraints in Clouds

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Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds

Genetic-Based Algorithms Applied to a Workflow Scheduling Algorithm with Security and Deadline Constraints in Clouds

Abstract

The literature described a number of metaheuristic cloud scheduling techniques as well as their applications. Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds In a wide range of workflow scheduling algorithms for cloud environments, the efficiency of metaheuristic techniques has been established. However, it is still unknown whether the metaheuristic chosen is suitable for solving the optimization problem.

This Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds paper examines the effect on attempts to optimize workflow scheduling of both Particle Swarm Optimization (PSO) and Genetic-based Algorithms (GA). The findings indicate that GA-based algorithms significantly outperformed PSO both in terms of cost-effectiveness and response time.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  cloud computing

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

Cloud infrastructure can support large-scale business applications with the emergence of cloud technology. Workflow systems are designed to provide this property. In the cloud environment, resource scheduling and management is complex in structure. So cloud requires sophisticated tools to analyze different scheduling algorithms so that we can apply them to real environment. In this paper, we reviewed workflow scheduling algorithms and formed a table based on the algorithm used, considered parameter, explanation and development environment.