The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
지리적으로 분산된 여러 데이터 센터 간의 주기적인 재해 백업 활동은 막대한 네트워크 리소스를 소비하므로 데이터 센터 및 전송 링크에 큰 부담을 줍니다. 이전 작업은 제한된 네트워크 리소스에 대한 로드 밸런싱을 고려하지 않고 최소 완료 시간, 최대 유틸리티 또는 최소 비용을 목표로 하여 백업 로드가 불공정하게 분배되거나 일상적인 네트워크 서비스에 심각한 영향을 미칠 수 있습니다. 본 논문에서는 원본 데이터 센터의 전달 부담을 완화하고 백업 데이터 센터 및 전송 링크의 백업 부하 균형을 맞추기 위해 소프트웨어 정의 네트워크 시나리오에서 새로운 점진적 전달 재해 백업 전략을 제안합니다. 우리는 이중화 요구 사항에 따라 시간 슬롯을 분할하기 위해 새로운 이중화 인식 시간 확장 네트워크 모델을 구축하고, 백업 데이터 센터의 포워딩 기능을 활용하기 위해 시간에 따른 역할 전환 방법을 제안합니다. 모든 시간대에서 XNUMX단계 최적화 알고리즘을 활용하여 용량이 제한된 백업 데이터 센터 선택과 공정한 백업 부하 분산을 실현합니다. 시뮬레이션 결과는 우리의 전략이 전송 완료 및 백업 중복성을 보장하는 조건 하에서 로드 밸런싱에서 좋은 성능을 달성한다는 것을 입증합니다.
Xiaole LI
Linyi University
Hua WANG
Shandong University
Shanwen YI
Shandong University
Linbo ZHAI
Shandong Normal University
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Xiaole LI, Hua WANG, Shanwen YI, Linbo ZHAI, "Progressive Forwarding Disaster Backup among Cloud Datacenters" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 11, pp. 2135-2147, November 2019, doi: 10.1587/transinf.2019EDP7030.
Abstract: The periodic disaster backup activity among geographically distributed multiple datacenters consumes huge network resources and therefore imposes a heavy burden on datacenters and transmission links. Previous work aims at least completion time, maximum utility or minimal cost, without consideration of load balance for limited network resources, likely to result in unfair distribution of backup load or significant impact on daily network services. In this paper, we propose a new progressive forwarding disaster backup strategy in the Software Defined Network scenarios to mitigate forwarding burdens on source datacenters and balance backup loads on backup datacenters and transmission links. We construct a new redundancy-aware time-expanded network model to divide time slots according to redundancy requirement, and propose role-switching method over time to utilize forwarding capability of backup datacenters. In every time slot, we leverage two-step optimization algorithm to realize capacity-constrained backup datacenter selection and fair backup load distribution. Simulations results prove that our strategy achieves good performance in load balance under the condition of guaranteeing transmission completion and backup redundancy.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7030/_p
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@ARTICLE{e102-d_11_2135,
author={Xiaole LI, Hua WANG, Shanwen YI, Linbo ZHAI, },
journal={IEICE TRANSACTIONS on Information},
title={Progressive Forwarding Disaster Backup among Cloud Datacenters},
year={2019},
volume={E102-D},
number={11},
pages={2135-2147},
abstract={The periodic disaster backup activity among geographically distributed multiple datacenters consumes huge network resources and therefore imposes a heavy burden on datacenters and transmission links. Previous work aims at least completion time, maximum utility or minimal cost, without consideration of load balance for limited network resources, likely to result in unfair distribution of backup load or significant impact on daily network services. In this paper, we propose a new progressive forwarding disaster backup strategy in the Software Defined Network scenarios to mitigate forwarding burdens on source datacenters and balance backup loads on backup datacenters and transmission links. We construct a new redundancy-aware time-expanded network model to divide time slots according to redundancy requirement, and propose role-switching method over time to utilize forwarding capability of backup datacenters. In every time slot, we leverage two-step optimization algorithm to realize capacity-constrained backup datacenter selection and fair backup load distribution. Simulations results prove that our strategy achieves good performance in load balance under the condition of guaranteeing transmission completion and backup redundancy.},
keywords={},
doi={10.1587/transinf.2019EDP7030},
ISSN={1745-1361},
month={November},}
부
TY - JOUR
TI - Progressive Forwarding Disaster Backup among Cloud Datacenters
T2 - IEICE TRANSACTIONS on Information
SP - 2135
EP - 2147
AU - Xiaole LI
AU - Hua WANG
AU - Shanwen YI
AU - Linbo ZHAI
PY - 2019
DO - 10.1587/transinf.2019EDP7030
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2019
AB - The periodic disaster backup activity among geographically distributed multiple datacenters consumes huge network resources and therefore imposes a heavy burden on datacenters and transmission links. Previous work aims at least completion time, maximum utility or minimal cost, without consideration of load balance for limited network resources, likely to result in unfair distribution of backup load or significant impact on daily network services. In this paper, we propose a new progressive forwarding disaster backup strategy in the Software Defined Network scenarios to mitigate forwarding burdens on source datacenters and balance backup loads on backup datacenters and transmission links. We construct a new redundancy-aware time-expanded network model to divide time slots according to redundancy requirement, and propose role-switching method over time to utilize forwarding capability of backup datacenters. In every time slot, we leverage two-step optimization algorithm to realize capacity-constrained backup datacenter selection and fair backup load distribution. Simulations results prove that our strategy achieves good performance in load balance under the condition of guaranteeing transmission completion and backup redundancy.
ER -