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jaison paul mulerikkal cmi

 

Phd research

Project DCDN


Distributed Content Delivery Network (DCDN) is the project I’ve undertaken during my Minor Thesis work at RMIT.


Abstract


Commercial Content Delivery Networks create their own network of servers around the globe to effectively deliver Web content to the end-users. The peering of Content Delivery Networks (CDN) would increase the efficiency of commercial CDNs.  But still the high rental rates resulting from huge infrastructure cost make it inaccessible to medium and low profile clients . Academic models of peer-to-peer CDNs aim to reduce the financial cost of content distribution by forming volunteer group of servers around the globe. But their efficiency is at the mercy of the volunteer peers whose commitment is not ensured in their design. The proposed new architecture of Distributed Content Delivery Network (DCDN) will make use of the existing resources of common Internet users in terms of storage space, bandwidth and Internet connectivity to create a Distributed Content Delivery Network (DCDN). The profit pool generated by the infrastructure savings will be shared among the participating  nodes (DCDN surrogates) which will function as an incentive for them to support DCDN.


NB: The product under patent process


Conferences for DCDN papers:

ICON 2007, Adelaide


ICDCIT 07, Bangalore


Download


  1. BulletDCDN Slides

 

The project is on High Performance Grid and Cluster Computing between Platform (TM) Computing, the Department of Computer Science at the Australian National University and the Department of Computer Science at the University of Adelaide. It began in July 2007 and is funded by the ARC Linkage Grant LP0669762 and Platform (TM) Computing.


Background


The development of Performance Modeling, Evaluation and Programmability Issues of Parallel Scientific Applications using Service Oriented Grid-Oriented Infrastructures is of chief interest to Platform (TM) Computing, as is evident from its products such as the Platform LSF environment for Grids/Clusters, Platform Enterprise Grid Orchestrator (EGO) grid resource management platform and Platform Symphony Enterprise Grid package for financial services. The latter is largely comprised of the Service Oriented Middleware (SOAM), which provides a high-level infrastructure for enabling grid services.


The SOA approach has worked well for financial applications; this project will investigate the applicability of this approach to (scientific and engineering) numerical applications.

Research Themes

The overall theme is to investigate the applicability of Service Oriented Middleware (SOAM) to high performance numerical computing. In particular to:


    * Develop programming models that extend shared memory paradigms such as OpenMP to a distributed environment.

    * Characterize the scientific applications or libraries that can be ported to run well on a service-oriented communication infrastructures (SOAM), running in a dynamic (EGO) and static environment.

    * Investigate the programmability and optimization of such applications including things such as tracing and debugging tools.

    * Devise a performance modeling methodology that can predict the performance of such applications, and also be used to make run-time decisions in a dynamic environment.


University Address


Room No: N320

Department of Computer Science

Bld 108, North Road

The Australian National University

Canberra 0200, Australia

Phone: +61 2 612 - 59662