Dear All:

I would like to share some of our recent developments in GRIDS Lab:

1. We have recently done quite a bit of work on advancing our work on
Cloud Computing and enhancing our Aneka enterprise Cloud technology.
We have implemented MapReduce programming model in Aneka platform under
Windows/.NET environment. Check out following papers for details both
details on technology and applications:
http://www.gridbus.org/reports/MapReduce-NET-2008.pdf
http://www.gridbus.org/~raj/papers/MapReduce-GA-eScience2008.pdf
http://www.gridbus.org/~raj/papers/Jeeva-ADCOM2008.pdf

2. Research Grant:

We received Australian Research Council (ARC) and Platform Corporation
supported research grant for our R&D efforts in SLA-Oriednted Resource
Allocation in Cloud Computing Systems. Please see project summary
enclosed at the end of this message. This project will be formally
executed during 2009-2011.

3. GRIDS Lab research students win Knowledge Transfer grant:

Provost of University of Melbourne presented Dream Large Knowledge
Trannsfer grant to students of GRIDS Lab for showcashing and sharing
their research to empower emerging economies. More details, please see:
http://www.gridbus.org/cdn/ktp/



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Project: Service Level Agreement (SLA) oriented Resource Allocation for
Data Centers and Cloud Computing Systems

Collaborating/Partner Organisation(s)
Platform Computing Singapore Pte Ltd

Administering Organisation The University of Melbourne

Project Summary

In the next 20 years, service oriented computing will play an important
role in shaping the industry and the way business is conducted and
services are delivered and managed. This paradigm will have major impact
on service economy, which contributes significantly towards Australia's
GDP. The service sector, which includes health, financial, and
government services, involves significant interaction between clients
and providers. With increasing dependency on ICT technologies in their
realization, major advances are required in service driven allocation of
resources to competing applications. This project develops technologies
for Service Level Agreement (SLA) based allocation of Data Center/Cloud
computing system resources to applications.
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