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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