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DCC 2013 : Workshop on Distributed Cloud Computing


When Dec 9, 2013 - Dec 12, 2013
Where Dresden, Germany
Abstract Registration Due Jul 14, 2013
Submission Deadline Jul 21, 2013
Notification Due Sep 10, 2013
Final Version Due Sep 27, 2013
Categories    distributed computing   cloud computing   virtualization   resource management

Call For Papers

Workshop on
Distributed Cloud Computing (DCC)

held in Dresden, Germany
December 9-12

co-located with 6th IEEE/ACM International Conference on Utility and Cloud
Computing (UCC)


Abstracts due: 21 July 2013

Submissions due: 21 July 2013

Notification of acceptance: 10 September 2013

Camera-ready papers due: 27 September 2013


The workshop 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 field and
expertise. We want to attract both industry relevant papers as well as papers
from academic researchers working on the foundations of the distributed

DCC 2013 accepts high-quality papers related to the distributed cloud which
fall into at least one of the following categories:

- Novel ideas on how to design and operate/manage the distributed cloud

- Principles and foundations of distributed cloud computing; algorithmic
solutions (resource management, scheduling, embedding, elasticity, brokering)

- Architectural models, prototype implementations and applications (content
distribution, games, social networks, scientific computing, business)

- Virtualization technology and enablers (network virtualization,
software-defined networking)

- Experience with existing deployments and measurements (private, public,
hybrid, federated, aggregated clouds)

- Service and resource specification, languages, and formal verification

- Economic, robustness, and energy aspects of the distributed cloud (e.g.,
pricing and service models)


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 telcom 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 a tighter coupling
to the wireless access network. 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.


Submissions are single-blind and should not exceed 6 pages in length (in IEEE
format). For an accepted paper, at least one author must attend the workshop
(all participants must pay the UCC 2013 workshop and conference fee).

Submissions will be handled by EasyChair.

The DCC 2013 workshop proceedings will be published as part of the UCC 2013
proceedings volume.


James Kempf, Ericsson Research, San Francisco, USA

Stefan Schmid, Telekom Innovation Laboratories (T-Labs) & TU Berlin, Germany


Chen Avin, Ben Gurion Uni, Israel

Raouf Boutaba, Uni Waterloo, Canada

David Breitgand, IBM Research Tel Aviv, Israel

Marco Canini, T-Labs & TU Berlin, Germany

Yvonne Coady, Uni Victoria, Canada

Paolo Costa, Microsoft Research Cambridge & Imperial College, United Kingdom

György Dán, KTH, Sweden

Xiaoming Fu, Uni Goettingen, Germany

Pan Hui, HKUST, Hong Kong

Holger Karl, Uni Paderborn, Germany

Wolfgang Kellerer, TU Munich, Germany

Hermann de Meer, Uni Passau, Germany

Ruben S. Montero, Universidad Complutense de Madrid, Spain

Djamel F. H. Sadok, UFPE, Brazil

Arunabha Sen, Arizona State University, USA

Srini Seetharaman, T-Labs Silicon Valley, USA

Azimeh Sefidcon, Ericsson Research, Sweden

Upendra Sharma, IBM T. J. Watson Research Center, USA

Soren Telfer, AT&T Palo Alto, USA

Benoit Tremblay, Ericsson Research, Canada

Christian Tschudin, Uni Basel, Switzerland


DCC 2013 will take place in the Dorint Hotel Dresden, in the center of the
lively capital of Saxony. Dresden offers much more than the historic center
with its opera house, the 'Semperoper', and the ‘Frauenkirche’ church. Dotted
along the approximately 30 km long stretch of the Elbe River which runs
through the city, you will find many treasures: castles, villas, vineyards,
historic funiculars, and steamboats that are up to 130 years old. During the
conference week, the 579th annual Striezelmarkt will welcome all conference
participants for a unique artisanal and culinary experience.

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