News - ARMS-CC Workshop, co-located with PODC

ARMS-CC 2014 Workshop
Workshop on Adaptive Resource Management and Scheduling for Cloud Computing
Held in conjunction with PODC 2014 (http://www.podc.org)
Paris, France, on July 15th, 2014

Webpage: http://arms-cc.hpc.pub.ro

It is our pleasure to invite you to the Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2014). Cloud Computing concerns large-scale interconnected systems and it has the main purpose to aggregate and to efficient exploit the power of widely distributed resources. Resource Management and Task Scheduling play an essential role, in cases where one is concerned with optimized use of resources. The ubiquitous networks are highly dynamic distributed systems so the changes in overlay are frequent. On the other hand, the Cloud systems are highly dynamic in its structure because the user requests must be respected as an agreement rule. When ubiquitous networks become clients for Cloud systems new algorithm for events and tasks scheduling and new methods for resource management should be designed in order to increase the performance of such systems. The adaptive methods used in context are oriented on: self-stabilizing, self-organizing and autonomic systems; dynamic, adaptive and machine learning based distributed algorithms; fault tolerance, reliability, availability of distributed systems.

A major goal of the workshop is to explore new directions and approaches for reasoning about resource management in Cloud Computing based on adaptive methods, and to encourage the submission of ongoing work, as well as position papers and case studies of existing verification projects. Also, the workshop offers a forum for both academics and practitioners to share their experience and identify new and emerging trends in this area.

Papers are to be submitted electronically, following the PODC guidelines: each submission must be in English, in PDF format, and begin with a cover page including: (1) the title, (2) the names and affiliations of all authors, (3) contact author’s email, address and telephone number, (4) a brief, one paragraph abstract of the paper. A regular submission must not exceed 10 single-column pages (excluding cover page and references). Additional necessary details may be included in a clearly marked appendix that will be read at the discretion of the program committee.
Accepted submissions will be treated as confidential prior to publication in a special issue for an international journal. The special issue will be announced before the workshop. Rejected submissions will be permanently treated as confidential.
By submitting a paper, the authors agree that at least one of them will attend the workshop to present it. This is the strong condition for a submission to be considered for publication in the special issue.

We cordially invite you to submit your contribution to the Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2014).

*** IMPORTANT DATES ***

Abstract submission: April 23, 2014
Full papers submission: May 1, 2014
Acceptance notification: June 1, 2014
Camera-ready copy due: June 15, 2014
Registration: According with PODC registration rules (to be updated)
Workshop Date: July 15th, 2014

Topics include, but are not limited to:

+ Foundational Models for Resource Management in Cloud
+ Distributed Scheduling Algorithms
+ Load-Balancing and Co-Allocation
+ Dynamic, Adaptive and Machine Learning based Distributed Algorithms
+ Self-* and Autonomic Cloud Systems
+ Cloud Composition, Federation, Bridging, and Bursting
+ Cloud Resource Virtualization and Composition
+ Fault Tolerance, Reliability, Availability of Cloud Systems
+ Cloud Workload Profiling and Deployment Control
+ Cloud Quality Management and Service Level Agreement (SLA)
+ High Performance Cloud Computing
+ Mobile Cloud Computing
+ Green Cloud Computing
+ Cloud Computing Techniques for Big Data
+ Scheduling Algorithms for Big Data

*** SUBMISSION and REVIEW PROCESS ***

The full paper in PDF format will be submitted via EasyChair system.
https://www.easychair.org/conferences/?conf=armscc2014

*** GENERAL CHAIRS ***

Florin Pop, University Politehnica of Bucharest, Romania, florin.pop {at} cs.pub.ro
Maria Gradinariu Potop-Butucaru, UPMC Sorbonne Universités, LIP6, Paris, France, Email: maria.gradinariu {at} lip6.fr

*** PROGRAM COMMITTEE ***

Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA
Marcos Aguilera, Microsoft Research Silicon Valley, USA
Silvia Bonomi, Università degli studi di Roma “La Sapienza”, Italy
Valentin Cristea, University Politehnica of Bucarest, Romania
Ciprian Dobre, University Politehnica of Bucarest, Romania
Pascal Felber, Université de Neuchâtel, Switzerland
Pierre Guillome, IRISA / Université de Rennes 1, Frace
Adriana Iamnitchi, University of South Florida, USA
Thilo Kielmann, VU University (Vrije Universiteit) Amsterdam, The Netherlands
Joanna Kolodziej, Institute of Computer Science, Cracow University of Technology, Poland
Iosif Charles Legrand, California Institute of Technology, USA / CERN, Switzerland
Vivien Quéma, Grenoble INP / ENSIMAG, France
Marc Shapiro, UPMC Sorbonne Universités, LIP6, Paris, France
Nicolae Tapus, University Politehnica of Bucarest, Romania

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