- From: Katarzyna Wasielewska <katarzyna.wasielewska.scpe@gmail.com>
- Date: Sun, 26 Oct 2014 00:02:48 +0200
- To: public-cloud@w3.org
CALL FOR PAPERS Scalable Computing: Practice and Experience (www.scpe.org) Special Issue on Collective Adaptive Systems Collective Adaptive Systems (CAS) is a broad term that describes large scale systems that comprise of many units/nodes, each of which may have their own individual properties, objectives and actions. Decision-making in such a system is distributed and possibly highly dispersed, and interaction between the units may lead to the emergence of unexpected phenomena. CASs are open, in that nodes may enter or leave the collective at any time, and boundaries between CASs are fluid. The units can be highly heterogeneous (computers, robots, agents, devices, biological entities, etc.), each operating at different temporal and spatial scales, and having different (potentially conflicting) objectives and goals, even if often the system has a global goal that is pursued by means of collective actions. Our society increasingly depends on such systems, in which collections of heterogeneous ‘technological’ nodes are tightly entangled with human and social structures to form ‘artificial societies’. Yet, to properly exploit them, we need to develop a deeper scientific understanding of the principles by which they operate, in order to better design them. The special issue will feature articles that concern different and interdisciplinary aspects of collective adaptive systems, as specified in the following list of topics. TOPICS Areas of interest for this special issue include, but are not limited to: - Novel theories relating to operating principles of CAS - Novel design principles for building CAS systems - Insights into the short and long term adaptation of CAS systems - Insights into Emergent Properties of CAS - Insights into general properties of large scale, distributed CAS - Methodologies for studying, analysing and building CAS - Frameworks for analysing or developing CAS - Case-studies/Scenarios that can be used to investigate CAS properties IMPORTANT DATES - Submission: December 15th, 2014 - Author notification: January 31st 2015 - Revised papers (for major revisions): February 28th 2015 - Author notification (for major revisions): April 15th, 2015 - Camera Ready papers due: May 31th, 2015 - Expected publication: September, 2015 SUBMISSION DETAILS The special issue seeks original, unpublished work on technologies enabling collaboration. The authors of the best papers form FoCAS@SASO2014 will be invited to submit an extended version to this special issue. The SCPE journal has a rigorous peer-review process and papers will be sent to at least two independent referees. Papers that do not merit publication (for any reason) can be rejected by the Special Issue Editors without further review. Submitted papers must be formatted according to the journal's instructions, which can be found at: http://www.scpe.org/index.php/scpe/about/submissions#authorGuidelines SPECIAL ISSUE EDITORS - Prof. Giacomo Cabri. Università di Modena e Reggio Emilia, Italy - Prof. Emma Hart. Edinburgh Napier University, UK SCALABLE COMPUTING PRACTICE AND EXPERIENCE The journal focus on algorithm development, implementation and execution on parallel and distributed architectures, as well on application of parallel and distributed computing to the solution of real-life problems. SCPE provides immediate open access to its content. The journal is submitted for indexation in Scopus SciVerse, The Collection of Computer Science Bibliographies, Directory of Open Access Journals (DOAJ), EBSCO, dblp - Computer Science Bibliography, CiteFactor, Index Copernicus, Open Access Library, J-Gate, ZDB, AcademicKeys, BibNet Project at University of Utah, ZENODO, Journal Click. In 2013, the SCPE's SNIP (Scopus Source Normalized Impact per Paper) was 0.619 and SCPE's SJR (Scimago Journal Ranking) was 0.151 (previous year values where: SNIP 0.376 and SJR 0.105). SCPE's SJIF factor was 2.785 in 2012.
Received on Saturday, 25 October 2014 22:03:23 UTC