Abstract
Cloud computing is a new paradigm that provides computing, storageand networking services to end users. Data distribution for cloudcomputing is different from that in traditional content distributionnetworks in that it has a direct implication on efficiency of usingcloud resources. In this paper we propose a new block-based datadistribution mechanism for cloud computing. Instead of using thewhole file as a unit of delivery, we divide a file into blocks toimprove the efficiency. We design a scheduling algorithm to managethe delivery of blocks to all receivers. The novel aspect of thealgorithm is that it can achieve constant distribution time nomatter how many receivers need to get the file. We further analyzethe overhead caused by dividing a file into blocks. The performanceresults show that our mechanism can significantly reduce thedistribution time, compared with the traditional method anda non-block-based method.
Original language | English |
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Title of host publication | Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 |
Editors | Lixin Tao, Meikang Qiu, Jianwei Niu |
Pages | 54-59 |
Number of pages | 6 |
ISBN (Electronic) | 9781509009459 |
DOIs | |
State | Published - Aug 16 2016 |
Event | 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 - Beijing, China Duration: Jun 25 2016 → Jun 27 2016 |
Publication series
Name | Proceedings - 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 |
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Conference
Conference | 3rd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2016 and 2nd IEEE International Conference of Scalable and Smart Cloud, SSC 2016 |
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Country/Territory | China |
City | Beijing |
Period | 6/25/16 → 6/27/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- cloud computing
- data distribution
- data management
- data replication
- scheduling
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems and Management