PhD Dissertation Editing Services Chemical Reaction Multi-Objective Optimization for Cloud - phdassistance (1)

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Chemical Reaction Multi- Objective Optimization
for Cloud Task DAG Scheduling
An Academic presentation by Dr. Nancy Agens,
Head, Technical Operations, Phdassistance
Group www.phdassistance.com Email
info_at_phdassistance.com
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TODAY'S DISCUSSION
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Short notes
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DAG-Based Algorithm and Architecture
Performance and Cost Representation Through DAG
Scheduling
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DAG Graph Related to Molecular Dynamic Code
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Outline
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Conclusion
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Future Work
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In Brief

• Cloud 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.

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INTRODUCTION
Cloud computing plays a vital role and considered
as the emerging computing paradigm. There are
two basic objectives of Cloud Computing systems
maximization of service 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 to maximise the service
performance together with it can minimize the
computing cost at the system related to
heterogeneity cloud computation or HCC.
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DAG-BASED ALGORITHM ARCHITECTURE
The directed edges are found to indicate an
information flow which links one task with
another.
Every stage has to be executed through blocking
the tasks maintaining the successive levels.
This task is needed to perform at the time when
previous stages of the tasks are completed. For
completing all those tasks, the requirement of
energy and cost are more.
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Figure 1 Architecture of DAG based tasks
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Performance and Cost Representation
Through DAG Scheduling
DAG-based algorithm can be better judge through
the ineffective collision of the inter-molecules.
This type of collision is needed to simulate
among two molecules, like x1 and x 2 used to
collide to each other.
In this case, two new solutions can be produced
through the addition of small perturbations to
the x1 and x 2 molecules.
The intermolecular ineffective collisions have
to be applied here for exchanging the
information through x1 and x 2 in a separate way.
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Algorithm Ineffective molecular collision
Contd..
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(No Transcript)
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Figure 2 DAG
scheduling
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DAG Graph Related to Molecular Dynamic Code
Figure 3 DAG graph related to molecular dynamic
code
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Conclusion

• The maximization of performance and
  simultaneously minimization of cost is not a
  simple task.
• For this, issues of the task scheduling have to
  be evaluated and 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 depending on the Pareto-optimal
  based comparing strategy.
• In this case, the chemical reaction processing
  techniques is useful as it includes four types
  of chemical reaction operators. Those operators
  help in the evolutionary search process of DAG
  scheduling solution.
• The simulation-based algorithms show that the
  proposed method is more useful for optimal
  search performance.

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The DAG-based algorithm is also useful for
finding out the data encryption standard.
This data encrypted standard is needed to
publish through the resource-provisioning in
Cloud computing.
Future Work
It can be used for improving the high accuracy
and also the high resolution. The optimization
is based on the minimization of execution time
or the cost of executing the application in the
near future.
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