Analysis of End-to-End Recovery Algorithms with Preemptive Priority in GMPLS Networks

Kim, Hyun Cheol; Choi, Jun Kyun; Ahn, Seongjin; Chung, Jin Wook

doi:10.1007/978-3-540-45235-5_12

Cited by 4 publications

(1 citation statement)

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“…That is, the number of fully disjointed paths is limited by few. Moreover all the disjointed LSPs/spans must start and end at the same nodes [13][14][15][16]. This is very fatal restriction to support micro DC-based cloud services, which may have several active connections with different bandwidth requirements and Quality of Service (QoS) constraints.…”

Section: Reverse Shared Risk Link Groupmentioning

confidence: 99%

A fault tolerant channel allocation scheme in distributed cloud networks

et al. 2015

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With the cloud computing, storage and computing resources are moving to remote resources such as virtual servers and storage systems in large datacenters, which raise many performance and management challenges. The distributed cloud networks must have an ability to maintain an acceptable level of service during network failures to provide high resilience against service failures. This paper presents an eccentric fault tolerant path grouping scheme that can achieve mobility independent Quality of Service guaranteed services in distributed cloud networks To make this possible, we propose a path allocation and restora-B Hyuncheol Kim tion strategy called "Reverse Shared Risk Link Group" and demonstrates how this concept can be applied to minimize recovery contention in cloud networks and to assess the network convergence associated with failures. To reflect little more actual situations, we assume that the bandwidth of cloud connection requests can be some fraction of the lightpath capacity. Simulation results show that the proposed recovery scheme outperforms other schemes with fewer signaling traffics and contention probability. Very fast restorability can be accomplished for multiple failures. We also has developed an analytical model and performed analysis for the proposed scheme in terms of two performance factors: mean system time and reservation blocking probability.

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Section: Reverse Shared Risk Link Groupmentioning

confidence: 99%