DocumentCode
7055
Title
Decentralized Edge Clouds
Author
Chandra, Aniruddha ; Weissman, J. ; Heintz, B.
Author_Institution
Univ. of Minnesota, Minneapolis, MN, USA
Volume
17
Issue
5
fYear
2013
fDate
Sept.-Oct. 2013
Firstpage
70
Lastpage
73
Abstract
Cloud computing services are traditionally deployed on centralized computing infrastructures confined to a few data centers, while cloud applications run in a single data center. However, the cloud´s centralized nature can be limiting in terms of performance and cost for applications where users, data, and computation are distributed. The authors present an overview of distributed clouds that might be better suited for such applications. They briefly describe the distributed cloud landscape and introduce Nebula, a highly decentralized cloud that uses volunteer edge resources. The authors provide insights into some of its key properties and design issues, and describe a distributed MapReduce application scenario to illustrate the benefits and trade-offs of using distributed and decentralized clouds for distributed data-intensive computing applications.
Keywords
cloud computing; Nebula; centralized computing infrastructures; cloud computing; decentralized edge clouds; distributed MapReduce application scenario; distributed clouds; distributed data-intensive computing applications; volunteer edge resources; Cloud computing; Computational modeling; Computer science; Data models; Distributed databases; Monitoring; cloud; data intensive computing; distributed systems;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2013.93
Filename
6596502
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