![]() |
| |||||||||||||||
DCC 2016 : ACM PODC Workshop on Distributed Cloud Computing | |||||||||||||||
Link: http://www.podc.org/dcc2016/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
Call for Papers
ACM PODC Workshop on Distributed Cloud Computing (DCC) www.podc.org/dcc2016 co-located with ACM PODC 2016 25 July, 2016 Chicago, Illinois, USA Important Dates Abstract submissions due: 12 March 2016 Submissions due: 19 March 2016 Notification of acceptance: 1 May 2016 Camera-ready papers due: 20 May 2016 Workshop: 25 July 2016 Synopsis Most of the focus in public cloud computing technology over the last 10 years has been on deploying massive, centralized data centers with thousands or hundreds of thousands of servers. The data centers are typically replicated with a few instances on a continent wide scale in semi-autonomous zones. This model has proven quite successful in economically scaling cloud service, but it has some drawbacks. Failure of a zone can lead to service dropout for tenants if the tenants do not replicate their services across zones. Some applications may need finer grained control over network latency than is provided by a connection to a large centralized data center, or may benefit from being able to specify location as a parameter in their deployment. Nontechnical issues, such as the availability of real estate, power, and bandwidth for a large mega data center, also enter into consideration. Another model that may be useful in many cases is to have many micro or even nano data centers, interconnected by medium to high bandwidth links, and the ability to manage these data centers and interconnecting links as if they were one larger data center. This distributed cloud model is perhaps a better match for private enterprise clouds, which tend to be smaller than the large, public mega data centers, and it also has attractions for public clouds run by telco carriers which have facilities in geographically diverse locations, with power, cooling, and bandwidth already available. It is attractive for mobile operators as well, since it provides a platform on which applications can be deployed and easily managed that could benefit from locality and a tighter coupling to the access network. Applications with latency constraints or with too much data to backhaul to a large mega data center can benefit from distributed processing. The two models are not mutually exclusive: for instance a public cloud operator with many large data centers distributed internationally could manage its network of data centers like a distributed cloud. The distinguishing characteristic from federated clouds is that the component data centers are more integrated, especially with respect to authentication and authorization, so that the computation, storage, and networking resources are as tightly managed as if they were in a single large data center. Goals The International Workshop on Distributed Cloud Computing (DCC) is interdisciplinary and touches both distributed systems as well as networking and cloud computing. It is intended as a forum where people with different backgrounds can learn from their respective fields and expertise. We want to attract both industry relevant papers as well as papers from academic researchers working on the foundations of the distributed cloud. In particular, this year’s edition of DCC will feature an applied session in the afternoon, chaired by Rick McGeer. Scope DCC 2016 accepts high-quality papers related to the distributed cloud which fall into at least one of the following categories: Foundations and principles of distributed cloud computing Optimization and algorithms Economics and pricing Experience with and performance evaluation of existing deployments and measurements (public, private, hybrid, federated environments) Architectural models, prototype implementations and applications Virtualization technology and enablers (network virtualization, software-defined networking) Service and resource specification, languages, and formal verification Submission and Publication Submissions are single-blind and should not exceed 6 pages in length (in ACM format: http://www.sigmetrics.org/sig-alternate-per.cls). Accepted papers will appear on ACM Digital Library. However, authors may voluntarily also opt out from an official publication, and simply present their work at the workshop. For an accepted paper, at least one author must attend the workshop. Workshop History DCC 2013 was co-located with IEEE/ACM UCC 2013, DCC 2014 was co-located with ACM SIGCOMM 2014, and DCC 2015 was co-located with ACM SIGMETRICS. TPC Chairs Patrick Eugster, TU Darmstadt, Germany and Purdue, USA James Kempf, Ericsson Research, Silicon Valley, USA Rick McGeer, US Ignite and Communication Design Group, USA Stefan Schmid, Aalborg University, Denmark TPC Ali Al-Shabibi, Open Networking Laboratory (ONLab), USA Hadi Bannazadeh, University of Toronto, Canada Andy Bavier, Princeton University, USA Pramod Bhatotia, TU Dresden, Germany Annette Bieniusa, TU Kaiserslautern, Germany Ivona Brandic, Vienna University of Technology, Austria Justin Cappos, New York University, USA Gregory Chockler, Royal Holloway, University of London (RHUL), UK Lars Eggert, NetApp, Germany Serge Fidida, Université Pierre et Marie Curie (UPMC), Sorbonne University, France Anshul Gandhi, Stony Brook University, USA Erwan Le Merrer, Technicolor, France Hanoch Levy, Tel Aviv University, Israel Tamás Lukovszki, Eötvös Loránd University, Hungary Joe Mambretti, Northwestern University, USA Catalin Meirosu, Ericsson Research, Sweden Hausi Müller, University of Victoria, Canada Akihiro Nakao, University of Tokyo, Japan Marina Papatriantafilou, Chalmers University of Technology, Sweden Fernando Pedone, University of Lugano (USI), Switzerland Glenn Ricart, US Ignite and U. Utah, USA Robert Ricci, University of Utah, USA Niky Riga, BBN Technologies, USA Rodrigo Miragaia Rodrigues, Instituto Superior Tecnico (University of Lisbon) and INESC-ID, Portugal Elad Michael Schiller, Chalmers University of Technology, Sweden James P.G. Sterbenz, University of Kansas, USA François Taïani, Université de Rennes 1, France Vicraj Thomas, BBN Technologies, USA Maarten van Steen, University of Twente, the Netherlands Brecht Vermeulen, iMinds and Ghent University, Belgium Marko Vukolić, IBM Research Zurich, Switzerland John Wroclawski, University of Southern California, USA |
|