SMSCG provides shared computational resources and basic data
management facilities for the Swiss scientific community to solve computational problems.
This fourth phase will focus on operational costs, operational services and support.
(see also phase 1, phase 2 and phase 3)
||The project webpage documents the services and points to the details on the available resources (monitor),
their current usage, the supported application portfolio, the communities, and the code and software repositories.
||Continue growing of the dedicated HTC
solutions mostly developed with the GC3Pie framework.
|Increased usage of the infrastructure
||From this page it is possible to display detailed accounting information. Both number of jobs and used walltime can be classied per available resource and/or per
Virtual Organization (only for registered users)
|Sensitivities and uncertainties of modeled ground temperatures in mountain environments
||Publication by Gubler, S., Endrizzi, S., Gruber, S., and Purves, R. S. Geosci. Model Dev. Discuss., 6, 791-840, doi:10.5194/gmdd-6-791-2013, 2013.
We created a computational service to solve computationally intensive problems which is used by
researchers throughout Switzerland. The service comprises computing and storage infrastructure,
a support network of experts located at each participating institution, and a set of powerful tools
for efficient and effective use of the infrastructure.
Researchers have access to a reliable and powerful computational service. Combined with our
competent assistance and support we make them excel in their research; since 2008.
Project members have cooperated in building up and sharing knowledge. They benefit from access
to this knowledge pool for their decisions on investments, on support models, and on technological
Partners, like SwiNG and CRUS, benefit from the people network we established. We connect
user communities, service providers, and funding agencies.
Researchers with computational problems often have no access to performant infrastructure or
need to build up considerable knowledge to exploit the capabilities of such an infrastructure: this
is a bottleneck for their research limiting the scope of and dictating the advance in their research.
Our service eliminates this bottleneck. SMSCG bridges the gap between the computational part of
the research problem and the research question the researches is solving by offering consulting,
support, and computational infrastructure. Researchers can again focus on what they do best:
The SMSCG-IV aims
- at the infrastructure level to further reduce operational costs by capitalizing on the experiences
and on the knowledge gathered in the previous phases; this will be applied,
for example, to optimize the processes and to compile supportive quality documentation.
The project will continue evolving towards new technologies and models that can
provide more effective services to the user communities.In this, emerging High-
Throughput mechanisms for data analysis (e.g. Hadoop/MapReduce) as well as new
application provisioning models (e.g. virtualization/cloud) will be further explored.
This will increase the competence portfolio of the participating members and allow to
perceive the infrastructure as an evolving system always able to intercept and react on
the user needs.
- at the support and operational services level to avoid effort duplication for our Swiss
members that are internationally involved by alignment with international efforts (e.g.
- at the user and application support level by disseminating further the model where researchers
benefit from a close collaboration with expert support teams for enabling their high throughput computational needs.
These goals altogether will foster a committed SMSCG community, which is sustainable
beyond April 2013.
The benefits for the two main stakeholders are:
- User groups benefit from experienced IT consulting group for the porting of their application
and of their usecases.
- Infrastructure providers have the opportunity to work closely to research groups and
learn how their usecases get mapped into infrastructure requirements. Some key ones
are referenced to illustrate the impact that they have on the infrastructure level. In
this way, the whole project is continuously learning and improving on how non-trivial
usecases can efficiently be tackled from both the application integration and from the
infrastructure point of view.
The work is divided into the following work packages:
- Operation and Infrastructure:
Reduce of operational costs of the SMSCG infrastructure by streamlining operational
processes and provision of supportive high quality documentation.
- Eliminate duplicate operation (and funding) of central services that can be outsourced to international
bodies like NorduGrid ARC and EGI.eu.
- Evaluate Hadoop and similar emerging high-throughput technologies for scientific applications.
- Evaluate new infrastructure hosting/integration models (benefits/risks).
- User Support and Recruitment:
In addition to standard user support SMSCG will further invest into consulting, expand in these activities
by having more dedicated (not at least as a result of having reduced operational activities) and knowledgeable
persons within the participating universities to actively engage with the local power communities.
- Project management:
will focus mostly on the preparation for the new funding program:
- Reaching out communities and institutions of interest.
- Gather interests for potential future project proposals.
- Discussing on the alignment for the new funding program (revision of sustainability plan).