Adaptive and Scalable High Availability for Infrastructure Clouds

Brenner, Stefan; Garbers, Benjamin; Kapitza, Rüdiger

doi:10.1007/978-3-662-43352-2_2

Cited by 11 publications

(3 citation statements)

References 7 publications

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“…By rapid adoption of cloud computing, a large proportion of worldwide IT companies and government organizations have adopted cloud services for various purposes including hosting the mission-critical applications and thus critical data [34]. In order to support these mission-critical applications and data, there is need to provide dependable cloud computing environments.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Although many research papers and studies have been conducted in recent years such as studies in [26,[29][30][31][32][33][34], but each of these previous works focused on a special aspect of HA in cloud computing and there are no comprehensive studies, which cover all aspects of HA problem in cloud computing environment based on all cloud actors' requirements. In this paper, a comprehensive study results about cloud computing reliability and HA problems as a 'Reference Roadmap' for future researchers will be proposed.…”

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confidence: 99%

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Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

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Section: Research Backgroundmentioning

confidence: 99%

mentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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“…Refs [7] put forward some improvement ideas to show us the virtual network muti-host deployment plan improves virtual network service reliability and efficiency compared with single-node mode. Refs [8] [9] tell us the concepts of High availability, and evaluate some improvements to automate failover mechanisms. Refs [10]-[13] are online documents that give us how to deploy OpenStack and the relationship between these components.…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Evaluation of Distributed Virtual Router Based on OpenStack

Bao

Wang

Zhang

2014

AMM

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With the booming of Cloud Compute, OpenStack has been more widely used in Data Center, but in tradition deployment of OpenStack, the traffic must traverse network node to get routing decision. So the network node would be a bottle-neck due to the increasing amount of data flow. In order to solve this problem, this paper propose an extensible design, we create a internal virtual router in each compute node, the internal virtual router just can process the East-West traffic in lay2. With the help of distributed router, the East-West traffic can be delivered directly from the source hypervisor to the destination hypervisor, no longer need to traverse the router in network node to get routing decision, Therefore, North-South and East-West traffic don't impact each other anymore. North-South traffic enjoys all the bandwidth of router in network node exclusively, hence reduce the load of the network node. Experiment results show that OpenStack with distributed router has a much better performance evaluation than original OpenStack. This will dramatically increase the total bandwidth, and also bring other advantages.

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