Theme Synopsis
Grid computing has gained wide interest as a potential next generation platform for
solving large-scale problems in science, engineering and biomedical sciences. A grid can
pool large-scale, heterogeneous resources from geographically diverse locations into an
ensemble and present them as an integrated and single metasystem. The grid computing
technologies may support the sharing and co-ordinated use of resources in a virtualised
environment that may support both the physical and life sciences disciplines.
The scope of the workshop would encompass but is not limited to the following areas:
Grid fabric - The peer-to-peer computing and
storage model of grid means that components of its fabric infrastructure interact
differently from traditional approaches to name service and routing. Recent work in
distributed object platforms and grid middleware have focused on providing a flexible and
secure peer-to-peer middleware architecture but do not take advantage of the underlying
network capabilities such as multicast & quality-of-service (QoS) guarantee. This weak
leverage between the grid middleware and fabric layers can severely limit the
applicability of grid. Furthermore, work here should include enabling today's end-user
environment where network, data and services are mobile and replicated widely for
availability, durability, and locality. Examples of topics to be covered here are: a) QoS,
b) storage & data management, c) peer-to-peer networking and d) end-user grid fabric.
Middleware and management - A grid computing
environment requires effective middleware and management mechanisms that allow users to
interact with grid services in a user-friendly and efficient manner. They also allow easy
integration, collaboration and management of grid users and resources. Areas of interest
include but are not restricted to (a) information and resource management, (b)
applications and software components management, (c) resource brokering cum scheduling and
job management services, (d) grid portal, (e) numerical, engineering and visualization
tools, (f) security, and (g) monitoring.
Applications - Applications are concerned
with the use of the grid or services based on the grid. The possible areas of research
interest are a) problem solving environments, b) service oriented computing and c)
programming models for grid. These deal specifically with application-level concerns, such
as application modeling (suited to grid deployment), applications programming and
programming environments, and the commoditization of services on the grid into a
"service oriented computing" model.
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About the SERC
Thematic Workshops:
The Thematic Strategic Research Programme supports research that have potential for
impact across a wide range of industries. The approach for the TSRP includes conducting 1-
or 2-days workshops for each pre-selected research initiative or theme. The main
objectives of the workshop are to identify opportunities for research collaborations, and
to determine if the workshop should lead on to a Call for proposals. Conduct of a
workshop does NOT necessarily lead to a Call for Proposals. To assess the
viability of each theme, the workshops will be set out to achieve the following:
Survey of indigenous technical capabilities
- Identify local competencies and gaps in the field, ascertain the level of interest among
the local research community.
Scope a R&D agenda for the theme -
Identify research challenges, research priorities and lead research teams in the priority
areas.
Identify potential research programmes -
Solicit ideas for research, determine the scope of potential research programmes that
galvanise multidisciplinary research groups and efforts.
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