Autonomic Computational Science

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

• 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, Grid5000, 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

Submission Instructions

Authors are invited to submit manuscripts reporting original unpublished research and recent developments. Submitted papers should be formatted according to the IEEE style (the LaTeX templates can be found at http://www.computer.org/portal/c/document_library/get_file?uuid=cda2f9b2-516f-43b8-ba8d-da91c0503dac&groupId=525773) and should not exceed 10 pages including figures and references. Papers should be submitted electronically in PDF format via http://www.easychair.org/conferences/?conf=acs20100

Important Dates

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

... individuals below are being invited ... and have not yet confirmed

• Johan Montagnant
• Tristan Glatard
• Cecile Germain,
• Yogesh Simmhan, Microsoft Research
• Massimo Cafaro, University of Salento, Lecce, Italy
• Vladimir Getov, U Westminster
• Jose Cunha, UNL, Portugal
• Line Pouchard, ORNL
• Ken Hawick, Massey University, New Zealand
• Andreas Schreiber, German Aerospace/DLR, Germany
• Anshul Gupta, IBM T.J. Watson, USA
• Yolanda Gill, ISI/USC
• Rosa Badia, UPC
• Geoffrey Fox
• Ron Perrott, Queens University, Belfast, UK

-- OmerRana - 28 Jun 2010