ACS2010
From ESIWiki
Contents |
Workshop on Autonomic Computational Science
to be held in conjunction with IEEE/ACM Grid2010 Brussels (October 2010)
Aim/Scope
Strategic investments coupled with technological advances are rapidly realizing a pervasive cyberinfrastructure, both nationally and globally, that integrates computers, networks, data archives, instruments, observatories, experiments, and embedded sensors and actuators. Such a computational ecosystem has the potential to catalyze new thinking in virtually all areas of computational science and engineering, which can lead to unprecedented insights into natural, engineered and human systems. For example, application formulations can holistically investigate any phenomena of interest by combining computations, experiments, observations, and real-time information, for example, to understand and manage natural and engineered systems. These emerging computational paradigms and practices enabled by this cyber-ecosystem are naturally distributed and collaborative and fundamentally data intensive and data driven, as they explore coupled multi-physics, multi-scale formulations, end-to-end application workflows.
Autonomic computing techniques can address various aspects of system behaviour in the context of such infrastructure. Central to the autonomic paradigm are three fundamental separations: (1) a separation of computations from coordination and interactions; (2) a separation of non-functional aspects (e.g. resource requirements, performance) from functional behaviors, and (3) a separation of policy and mechanism - policies in the form of rules are used to orchestrate a repertoire of mechanisms to achieve context-aware adaptive runtime computational behaviors and coordination and interaction relationships based on functional, performance, and Quality of Service requirements. For instance, Autonomic computing techniques could provide:
- New and more robust application formulation
- Management of unpredictable system behaviour and unforeseen user behaviour and abuse;
- Better management of energy consumption; and
- More effective resource management to support scalability so that resources behave "elastically" at higher usage levels.
The aim of this workshop is to seek contributions in: (i) application construction; (ii) infrastructure management, that could facilitate the development of computational science applications over dynamic, unreliable and heterogeneous infrastructure.
Topics of Interest (include but are not limited to)
- Adaptive applications
- Application tuning
- Programming Abstractions and Patterns for Autonomic Applications
- Software Engineering, Programming Tools for Autonomic Applications
- QoS -based application management
- Realisation of self-* properties in computational science
- Adaptive use of distributed Grid infrastructure (TeraGrid , UK NGS, European EGEE/EGI, OSG, Grid5000, FutureGrid, DEISA, NAREGI, etc)
- Data driven adaptation techniques
- Adaptive workflow management
Authors of selected papers will be invited to submit extended versions to a special issue of the Scientific Programming Journal
Important Dates and Submission
- 01 August: Paper Submission
- 15 August: Notification of Results
- 20 August: Final Version Due
Submission
- ACS2010 welcomes two types of submissions:
- Full papers of up to 10 pages which include work not already published or under review for publication in other workshops, conferences of journals.
- Extended abstracts of up to 4 pages describing work in progress, which is intended to foster discussions of the emerging trends in Autonomics, and exchange of recent ideas as well as on-going applications.
- Submissions are accepted only electronically, in PDF format, and must conform to the IEEE style. Full papers may not exceed 10 pages and extended abstracts of work in progress should be no more than 4 pages long including all figures, tables, references, and supplementary material. Information for authors and reference style files are available here.
- Submission URL
Organizers
- Shantenu Jha, Louisiana State University, USA and eSI, UK -- sjha@cct.lsu.edu
- Manish Parashar, Rutgers University, USA -- parashar@rutgers.edu
- Omer F. Rana, Cardiff University, UK -- o.f.rana@cs.cardiff.ac.uk
Programme Committee
- Jose Cunha, Univ. Nova de Lisboa, Portugal
- Cecile Germain, LRI, France
- Massimo Cafaro, University of Salento, Italy
- Anshul Gupta, IBM
- Johan Montagnat, CNRS, I3S
- Ron Perrot, Queen's University, Belfast
- Andreas Schreiber, German Aerospace Centre
- Yogesh Simmhan, Microsoft
Tuesday, 26 October 2010
| TIME | TITLE | NAME | FILE | |
|---|---|---|---|---|
| 10:30-11:00 | Adaptively Detecting Changes in Autonomic Grid Computing | X Zhang, C Germain, Michele Sebag | - | |
| 11:00-11:30 | Impact of VM Granularity on Cloud Computing Workloads Performance | Ping Wang, Wei Huang, Carlos A. Varela | - | |
| 11:30-12:00 | Adaptation Strategies for Self-management of Tree Overlay Networks | E. Pournaras, Martijn Warnier, Frances M.T. Brazier | - | |
| 12:00 - 13:00 | Break | Lunch | ||
| 13:00 - 14:30 | Panel Discussion | C Germain, Dan Katz, Rizos Sakellariou, Ramin Yahyapour | - |
