An Analysis of Performance Interference Effects in Virtual Environments

Koh, Younggyun; Knauerhase, Rob; Brett, Paul; Bowman, Mic; Wen, Zhihua; Pu, Calton

doi:10.1109/ispass.2007.363750

Cited by 224 publications

(148 citation statements)

References 8 publications

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“…In this context, the only factor that could influence the results of our experiments when replicated in such environment is the VM interferences caused by scaling up the number of VMs. The VM interference is another research direction e.g., [21], which is out of the scope for this paper.…”

Section: Discussionmentioning

confidence: 99%

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Chen

Bahsoon

Tawil

2014

Information Sciences

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a b s t r a c tReplication techniques are widely applied in and for cloud to improve scalability and availability. In such context, the well-understood problem is how to guarantee consistency amongst different replicas and govern the trade-off between consistency and scalability requirements. Such requirements are often related to specific services and can vary considerably in the cloud. However, a major drawback of existing service-oriented replication approaches is that they only allow either restricted consistency or none at all. Consequently, service-oriented systems based on such replication techniques may violate consistency requirements or not scale well. In this paper, we present a Scalable Service Oriented Replication (SSOR) solution, a middleware that is capable of satisfying applications' consistency requirements when replicating cloud-based services. We introduce new formalism for describing services in service-oriented replication. We propose the notion of consistency regions and relevant service oriented requirements policies, by which trading between consistency and scalability requirements can be handled within regions. We solve the associated sub-problem of atomic broadcasting by introducing a Multi-fixed Sequencers Protocol (MSP), which is a requirements aware variation of the traditional fixed sequencer approach. We also present a Region-based Election Protocol (REP) that elastically balances the workload amongst sequencers. Finally, we experimentally evaluate our approach under different loads, to show that the proposed approach achieves better scalability with more flexible consistency constraints when compared with the state-of-the-art replication technique.

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Section: Discussionmentioning

confidence: 99%

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Chen

Bahsoon

Tawil

2014

Information Sciences

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“…There is a serious gap in cloud computing fault tolerance research area, that is, the mutual impact of cloud performance overhead [52,[114][115][116][117] and HA solutions.…”

Section: Task Resubmissionmentioning

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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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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“…Regarding the second-step of our solution, the extension we made is straightforward. It consists in adjusting burntCredit according to the actual core frequency (see equation 6). This means inserting a new operation (let us say adjustBurntCredit) between step (1) and step (2).…”

Section: Implementation In Xenmentioning

confidence: 99%

“…2 shows that the same VM type from Rackspace and Azure clouds delivers different performance level according to the underlying processor. This leads to the performance unpredictability problem [6], identified by Microsoft [8] as part of the five top significant challenges in the cloud. [7] has recently highlighted this issue in Amazon EC2 and Google Compute Engine too.…”

Section: Introductionmentioning

confidence: 99%

Mitigating Performance Unpredictability in Heterogeneous Clouds

Teabe

Tchana

Hagimont

2016

2016 IEEE International Conference on Services Computing (SCC)

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract-The speed of a device may vary since (i) IaaS hardware infrastructures are increasingly heterogeneous and (ii) devices often have a dynamically adjusted speed in order to adapt their energy consumption according to the load. This paper addresses SLA enforcement in a IaaS which includes devices whose speed vary. We show that resource management should rely on an absolute value SLA specification (i.e., a performance metric which is independent from the device speed) and a dynamic translation of this SLA into actual allocations according to the device speed. Surprisingly, while disk or network resource allocations already integrate such a scheme, CPU does not. We propose a CPU resource management system which implements absolute CPU allocation and dynamically translates it into actual CPU allocations according to CPU speed. We demonstrate and evaluate the benefits of this resource management system.

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An Analysis of Performance Interference Effects in Virtual Environments

Cited by 224 publications

References 8 publications

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Scalable service-oriented replication with flexible consistency guarantee in the cloud

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

Mitigating Performance Unpredictability in Heterogeneous Clouds

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