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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
L'activité périodique de sauvegarde après sinistre entre plusieurs centres de données géographiquement répartis consomme d'énormes ressources réseau et impose donc une lourde charge aux centres de données et aux liaisons de transmission. Les travaux antérieurs visent au moins un délai d'exécution, une utilité maximale ou un coût minimal, sans tenir compte de l'équilibre de charge pour des ressources réseau limitées, susceptibles d'entraîner une répartition injuste de la charge de sauvegarde ou un impact significatif sur les services réseau quotidiens. Dans cet article, nous proposons une nouvelle stratégie de sauvegarde après sinistre à transfert progressif dans les scénarios de réseau défini par logiciel pour atténuer les charges de transfert sur les centres de données sources et équilibrer les charges de sauvegarde sur les centres de données de sauvegarde et les liaisons de transmission. Nous construisons un nouveau modèle de réseau étendu dans le temps, prenant en compte la redondance, pour diviser les plages horaires en fonction des exigences de redondance, et proposons une méthode de changement de rôle au fil du temps pour utiliser la capacité de transfert des centres de données de sauvegarde. À chaque créneau horaire, nous exploitons un algorithme d'optimisation en deux étapes pour réaliser une sélection de centre de données de sauvegarde en fonction de capacités limitées et une répartition équitable de la charge de sauvegarde. Les résultats des simulations prouvent que notre stratégie permet d'obtenir de bonnes performances en matière d'équilibrage de charge à condition de garantir l'achèvement de la transmission et la redondance des sauvegardes.
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},}
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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 -