| |||||||||||||||
Elastic Systems 2016 : IEEE Services 2016 Emerging Technologies track on Elastic Systems | |||||||||||||||
Link: http://dsg.tuwien.ac.at/staff/ecopil/ElasticSystemsTrack | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
IEEE SERVICES 2016
Emerging Technology Track on Elastic Systems June 27 - July 2, 2016 @ San Francisco, USA Co-located with CLOUD, ICWS, SCC, MS, Big Data Overview Technological advances make computing evermore present in our daily lives. From utility computing models offering software, platforms, virtual resources, or high performance computing as a service, to cyber-physical systems connected over the Internet, and to groups of people offering their services as units of functionality that can be used by humans or software systems, today's computing ecosystem is growing in diversity and interconnectivity. A defining property of such ecosystems is elasticity. Elastic systems are inherently dynamic, constructed by replaceable, heterogeneous units of functionality, and are driven by business requirements. Elastic systems can belong to a single area (e.g., cloud computing), or can be cross-domain systems, spanning cloud, cyber-physical world and human-based systems. Initial attempts of building elastic systems are cloud-based applications, that adapt the virtual resources they use to the quality and cost desired by stakeholders. In these applications one can add/remove/reconfigure cloud services or software components, in order to manage their behavior with respect to business requirements. However, these are built of quite homogeneous units of functionality and most of the times focus on the resource scalability aspect of business requirements. Future elastic systems should comprise various types of functional units: computing resources, physical things, and human-computing units - each of which are complex sub-systems that sometimes have an inherent hazardous behavior. They should be able to automatically adapt with the highly complex environment they are hosted in, and seamlessly follow business requirements through exploiting elasticity of cost, quality and resources of the underlying heterogeneous units, for becoming elastic as a whole. The goal of this emerging technologies track on Elastic Systems is to bring together researchers and practitioners from both academia and industry to explore, discuss and possibly redefine the state of the art in Elastic Systems relative to models, methods and tools applied over various types of services and computing infrastructures for achieving elasticity, in an ecosystem including cloud computing, cyber-physical systems, human-based computing. Topics of interest include, but are not limited to: Elastic systems architectures and applications Elastic Systems focused on individual areas: cloud-based elastic systems, cyber-physical elastic systems, human-based elastic systems. Cross-domain Elastic Systems, spanning multiple of these areas Monitoring, analyzing and understanding elastic systems Managing elastic systems: configuration, performance, and fault management Development, testing, and operation of elastic systems Authors are invited to submit full papers (maximum 8 pages) or short papers (maximum 4 pages) as per IEEE 8.5 x 11 manuscript guidelines. All papers should be submitted in PDF form using the submission system for Services 2016 Elastic Systems Track. First time users need to register with the system. Submitted papers will be reviewed by three program committee members and will be selected depending on their originality, quality and relevance to the track. Each accepted paper will have to be presented in person by (one of) the author(s). All accepted papers will be included in the Proceedings of the IEEE 2016 World Congress on Services (SERVICES 2016) which will be published by IEEE Computer Society. Important dates: Full Paper Submission Deadline: May 3, 2016 Decision Notification (Electronic): May 8, 2016 Camera Ready Deadline: May 16, 2016 Organization Chairs: Schahram Dustdar, TU Wien Georgiana Copil, TU Wien Program Committee: Stefan Tai, TU Berlin George Pallis, University of Cyprus Schahram Dustdar, TU Wien Christian Inzinger, University of Zurich Nectarios Koziris, National Technical University of Athens David Robertson, University of Edinburgh Grace Lewis, Carnegie Mellon University Dimitrios Tsoumakos, Ionian University Stefan Schulte, TU Wien Alessio Gambi, Saarland University Marios D. Dikaiakos, University of Cyprus Philipp Leitner, University of Zurich Ioannis Konstantinou,National Technical University of Athens Hong-Linh Truong, TU Wien Contact: es@infosys.tuwien.ac.at |
|