Survivable and Bandwidth-Guaranteed Embedding of Virtual Clusters in Cloud Data Centers (Extended Version)
Ruozhou Yu, Guoliang Xue, Xiang Zhang, Dan Li

TL;DR
This paper addresses the challenge of embedding virtual clusters in cloud data centers with survivability and guaranteed bandwidth, proposing algorithms for resource-efficient primary and backup embedding to enhance service reliability.
Contribution
It introduces a formal problem definition for survivable virtual cluster embedding and proposes both optimal and heuristic algorithms for joint primary and backup embedding.
Findings
Heuristic algorithm achieves near-optimal resource efficiency.
Proposed algorithms significantly improve survivability and bandwidth guarantees.
Extensive simulations validate the effectiveness of the algorithms.
Abstract
Cloud computing has emerged as a powerful and elastic platform for internet service hosting, yet it also draws concerns of the unpredictable performance of cloud-based services due to network congestion. To offer predictable performance, the virtual cluster abstraction of cloud services has been proposed, which enables allocation and performance isolation regarding both computing resources and network bandwidth in a simplified virtual network model. One issue arisen in virtual cluster allocation is the survivability of tenant services against physical failures. Existing works have studied virtual cluster backup provisioning with fixed primary embeddings, but have not considered the impact of primary embeddings on backup resource consumption. To address this issue, in this paper we study how to embed virtual clusters survivably in the cloud data center, by jointly optimizing primary and…
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Taxonomy
TopicsCloud Computing and Resource Management · Software-Defined Networks and 5G · Caching and Content Delivery
