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ARMS-CC 2014 : Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, Held in conjunction with PODC 2014, Paris, France, on July 15th, 2014


When Jul 15, 2014 - Jul 15, 2014
Where Paris
Abstract Registration Due Apr 23, 2014
Submission Deadline May 1, 2014
Notification Due May 1, 2014
Final Version Due May 15, 2014

Call For Papers

Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2014

Paris, France, July 15th, 2014

Held in conduction with ACM Symposium on Principles of Distributed Computing - PODC 2014 (July 15-19, 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.

As 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.

The scope of the workshop includes, but is 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
ARMS-CC workshop
would be of interest to the PODC community because it highlights the consideration of self-* improvements, which is explicitly focused on resource utilization and combines local and global enforcement solutions, supports the estimation of resources needed, scalability, mobility, reliability, and fault tolerance.

General Chairs

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

The schedule of ARMS-CC is as follow:

Abstract submission: April 23, 2014
Submission deadline for full papers: 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
Submission and Review Process

The full paper in PDF format will be submitted via EasyChair system. Papers are to be submitted electronically, following the guidelines available on the PODC conference web page. Authors unable to submit electronically should contact the program chair to receive instructions.

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.


The registration for ARMS-CC will follow PODC registration rules.

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