Paper Info
Title
Redundancy-Guaranteed and Receiving-Constrained Disaster Backup in Cloud Data Center Network.
Abstract
For disaster backup in cloud data center network, existing researches have not jointly considered sufficient data redundancy and limited receiving capacity, likely to result in underutilization of network transmission capability, unfair distribution of backup load, or even lacks of disaster resistance. In this paper, we propose a new strategy to realize bandwidth-efficient and load-fair disaster backup under redundancy and capacity constraints using customized bandwidth allocation and flexible flow scheduling in software-defined networking. Based on many-to-many relationship in disaster backup, we formulate a new redundancy-guaranteed and receiving-constrained capacitated multi-commodity flow problem. By constructing flow-ratio-constrained backup transmission model, we specify flow allocation ratio among backup data centers with limited receiving capacity. Then we present a basic ratio-aware ant colony optimization algorithm satisfying backup flow constraint and rate requirement constraint. Furthermore, to obtain higher performance in redundancy guarantee and enhance bandwidth allocation fairness among massive backup transfers, we propose a fair-rotating and ratio-aware ant colony optimization (FRRA-ACO) algorithm. Especially, we use rotary routing search for multiple concurrent flows based on backup requirement cloning to approximate the upper bound of bandwidth allocation, adjust ratio of bandwidth allocation for multiple backup transfers with different requirements, and further improve flow rate according to the maximum link utilization on links if possible. Experiments demonstrate that FRRA-ACO outperforms state-of-the-art algorithms with less backup completion time, fairer backup load distribution, and higher network utilization.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2859427
IEEE ACCESS
Keywords
Field
DocType
Disaster backup,redundancy-guaranteed and receiving-constrained,flow-ratio-constrained,fair-rotating and ratio-aware,software-defined networking
Ant colony optimization algorithms,Computer science,Bandwidth allocation,Server,Computer network,Redundancy (engineering),Data redundancy,Bandwidth (signal processing),Channel allocation schemes,Backup,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Xiaole Li194.87
Hua Wang27614.82
Shanwen Yi391.53
Xibo Yao412.38
Fangjin Zhu5204.07
Linbo Zhai6157.01