Distributed Cloud Computing

Author:

Coady Yvonne1,Hohlfeld Oliver2,Kempf James3,McGeer Rick4,Schmid Stefan5

Affiliation:

1. University of Victoria, Victoria, Canada

2. RWTH Aachen University, Aachen, Germany

3. Ericsson, San Jose, USA

4. CDG, SAP America & US Ignite, San Francisco, USA

5. TU Berlin & T-Labs, Berlin, Germany

Abstract

A distributed cloud connecting multiple, geographically distributed and smaller datacenters, can be an attractive alternative to today's massive, centralized datacenters. A distributed cloud can reduce communication overheads, costs, and latencies by o ering nearby computation and storage resources. Better data locality can also improve privacy. In this paper, we revisit the vision of distributed cloud computing, and identify di erent use cases as well as research challenges. This article is based on the Dagstuhl Seminar on Distributed Cloud Computing, which took place in February 2015 at Schloss Dagstuhl.

Funder

G.I.F. No I-1245-407.6/2014

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference24 articles.

1. G-DUR

2. Project bismark. projectbismark.net/. Project bismark. projectbismark.net/.

3. Boinc: Open-source software for volunteer computing and grid computing. boinc.berkeley.edu. Boinc: Open-source software for volunteer computing and grid computing. boinc.berkeley.edu.

4. Casa: Collaborative adaptive sensing of the atmosphere. www.casa.umass.edu/. Casa: Collaborative adaptive sensing of the atmosphere. www.casa.umass.edu/.

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