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Chemical Reaction Multi-Objective Optimization forCloud Task DAG Scheduling
An Academic presentation byDr. Nancy Agens, Head, Technical Operations, PhdassistanceGroup www.phdassistance.comEmail: [email protected]
Outline
TODAY'SDISCUSSION
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Short notes
DAG-Based Algorithm and Architecture
Performance and Cost Representation
Through DAG Scheduling
Conclusion
Future Work
DAG Graph Related to Molecular
Dynamic Code
In BriefCloud scheduling is the recent trend in cloud computing.
Chemical reaction multi-objective optimisation is one of Nature-Inspired Optimization Algorithm.Chemical reaction multi-objective optimisation is one of the meta-heuristic algorithms SSA is a
social animal foraging model.Chemical reaction multi-objective optimisation is used to schedule cloud task Directed Acyclic
Graph (DAG) Scheduling.
INTRODUCTION
Cloud computing plays a vital role and considered as the emerging computingparadigm.
There are two basic objectives of Cloud Computing systems; maximization ofservice performance and minimization of computing cost.
Chemical reaction optimization is one of the nature-inspired algorithms.
The Chemical reaction for multi-objective optimization (CRMO) algorithm helps tomaximise the service performance together with it can minimize the computingcost at the system related to heterogeneity cloud computation or HCC.
DAG-BASEDALGORITHM &ARCHITECTURE
The directed edges are found to indicate aninformation flow which links one task withanother.
Every stage has to be executed through blockingthe tasks maintaining the successive levels.
This task is needed to perform at the time whenprevious stages of the tasks are completed.
For completing all those tasks, the requirement ofenergy and cost are more.
Figure 1:Architectureof DAGbased tasks
Performance andCost Representation
Through DAGScheduling
DAG-based algorithm can be better judgethrough the ineffective collision of theinter-molecules.
This type of collision is needed tosimulate among two molecules, like x1and x 2 used to collide to each other.
In this case, two new solutions can beproduced through the addition of smallperturbations to the x1 and x 2 molecules.
The intermolecular ineffective collisionshave to be applied here for exchangingthe information through x1 and x 2 in aseparate way.
Algorithm:Ineffectivemolecularcollision
Contd..
Figure 2:DAGscheduling
DAG GraphRelated toMolecularDynamic Code
Figure 3:DAG graph related tomolecular dynamic code
The maximization of performance and simultaneouslyminimization of cost is not a simple task. For this, issues of the task scheduling have to be evaluatedand then that issues can be formulated through the multi-objective optimization technique.It is safe to adapt the chemical reaction for this multi-optimization algorithm and that can be proposed dependingon the Pareto-optimal based comparing strategy.In this case, the chemical reaction processing techniques isuseful as it includes four types of chemical reaction operators. Those operators help in the evolutionary search process ofDAG scheduling solution.The simulation-based algorithms show that the proposedmethod is more useful for optimal search performance.
Conclusion
The DAG-based algorithm is also useful forfinding out the data encryption standard.This data encrypted standard is needed topublish through the resource-provisioning inCloud computing.
It can be used for improving the highaccuracy and also the high resolution.
The optimization is based on theminimization of execution time or the cost ofexecuting the application in the near future.
Future Work
