keith murphy supervisor: dr caspar ryan rmit university – distributed systems and networking...

Keith Murphy

Supervisor: Dr Caspar Ryan

RMIT University – Distributed Systems and NetworkingMelbourne, AUSTRALIA

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Power Preservation Metrics Adaptation Algorithm Implementation

◦ Distributed Frameworks◦ MobJeX

Empirical Evaluation Expected Results Conclusion

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Why is it important?◦ Mobile devices◦ Useability◦ More Advanced Applications

What has already been done?◦ Hardware monitoring of power.◦ Client – Server offloading.◦ Adaptation – Hardware and Software.

What Research is being Proposed?◦ Adaptation Algorithm for Distributed Frameworks.

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Adaptation via transparent object migration within dynamic distributed networks.◦ useful for power preservation

JavaParty, Voyager, FarGo

MobJeX

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What sort of metrics?◦ Metrics that have direct correlation to power

usage.

Identified Metrics:◦ Processor Utilisation◦ Network Utilisation◦ Memory Utilisation◦ Battery Status

◦ Direct versus Indirect measures (watts per unit).

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Two Algorithms

Weighting algorithm that has been previously empirically evaluated in work by Pablo & Ryan.

An algorithm currently under development by Abebe & Ryan.

What is planned◦ Modify◦ Add new metrics

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Designed to minimise the development effort .

Provides a middleware that detects changes within its environment via the collection of metrics.

automatically triggers the adaptation of applications via object migration using adaptation algorithms.

Different to the other frameworks where object migration is either predetermined or controlled by an administrator or scripts.

Predefined Metric collection and Adaptation Sub-systems.

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Initial Simulation Scenario◦ Used to calibrate ◦ Comparing the following

Pablo & Ryan’s algorithm versus our enhanced power preservation version. Abebe & Ryan’s algorithm versus our enhanced power preservation version. Enhanced Pablo & Ryan’s algorithm versus Enhanced Abebe & Ryan’s.

◦ Testing: Different Resource Utilisation

Empirical Evaluation Scenario’s◦ Designed to Verify results from the simulations.

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Power used whilst the algorithm completes a task will be measured.

The difference between the original and our enhanced power preservation version of it, will determine how much power has been saved.

This information will be graphed and an estimation of extended battery life of a said device will be made.

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We expect see power being preserved

It will vary depending on the scenario

It is to early to estimate the power preserved

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Feasible

At This Stage

Future Work

Questions?

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