Call for papers

We have a great pleasure to invite you to participate in the ARMS-CC 2017, Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, held in conjunction with PODC 2017, Washington, DC, USA, July 28th, 2017.


Following the success of previous editions of ARMS-CC held in Chicago (2016), Donostia-San Sebastián (2015), and Paris (2014) the fourth edition of ARMS-CC workshop aims at providing a venue for researchers, engineers, and practitioners involved in the development of new resource management methods, scheduling algorithms, and middleware tools for Cloud Computing. The objective is to provide an interactive and friendly yet professional forum for original research contributions describing novel ideas, groundbreaking results or quantified system experiences, in the context of PODC Symposium. The work presented in ARMS-CC workshop can report and summarize on previous work, present early new results or put forward new and outrageous ideas.

We cordially invite you to submit your contribution to the Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2017).

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 with Applications on Management of Natural Resources
  • 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
  • Many-Task Computing
  • Mobile Cloud Computing and Participatory Sensing for Environmental Protection
  • Green Cloud Computing
  • Cloud Computing Platforms for Big Data
  • Resource Management in Big Data Platforms
  • Scheduling Algorithms for Big Data Processing
  • Resource Management for different Applications: Water Management, Smart-Cities, e-Health, Cyber-Physical Systems, etc.
  • Simulation and Performance Evaluation

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}
  • Radu Prodan, University of Innsbruck, Austria, Email: radu {at}
  • Marc Frincu, West University of Timisoara, Romania, Email: marc.frincu {at} 

Important Dates

The schedule of ARMS-CC is as follow:

  • Abstract registration: 14-May-2017.
  • Submission deadline: 21-May-2017 (firm deadline).
  • Author notification: 12-June-2017.
  • Camera-ready due: 02-July-2017.
  • Workshop: 28-July-2016, Washington, DC, USA.

Paper Submission and Publication

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 chairs to receive instructions. ARMS-CC Workshop at PODC-17 will have a separate proceedings, which will be published in ACM Digital library. Submissions should not exceed 6 pages in length (in ACM format).

Formatting a full paper, the author is requested to strictly conform to the template provided by ACM. The detailed author’s instruction and the related template files to be used with the most popular Document Composition tools (LaTeX, Microsoft Word), are available at the following URL: The final paper MUST be formatted according to the above instructions.

The program committee, potentially assisted by outside referees in limited cases, will do reviewing of full papers. We will assign in the first step three reviewers for a submission and, if we not have a clear decision we will designate an advocate.  The evaluation will be based on originality, scientific significance, technical soundness, and clarity of presentation. Accepted papers will be shepherded through an editorial review process by a member of the program committee.

Accepted submissions will be treated as confidential prior to publication. A special issue for extended papers and submission rules 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.