BonFIRE: The Clouds and Services Testbed

Kavoussanakis, Kostas; Hume, Alastair; Martrat, Josep; Ragusa, Carmelo; Gienger, Michael; Campowsky, Konrad; Seghbroeck, Gregory Van; Vázquez, Constantino; Velayos, Celia; Gittler, Frederic; Inglesant, Philip; Carella, Giuseppe; Engen, Vegard; Giertych, Michał; Landi, Giada; Margery, David

doi:10.1109/cloudcom.2013.156

Cited by 17 publications

(15 citation statements)

References 7 publications

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“…However, when considering the use of testbeds for the evaluation of energy efficiency, the domain is dominated by private testbeds, with very few public infrastructures reporting energy metrics. One exception is BonFIRE [6,7], a scientific testbed distributed across seven sites in Europe. A number of these sites operate managed power distribution units (PDUs) within the data centres and expose end-user energy consumption to their users.…”

Section: Forshawmentioning

confidence: 99%

HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems

Forshaw¹,

McGough²,

Thomas³

2016

Concurrency and Computation

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SUMMARYHigh Throughput Computing (HTC) is a powerful paradigm allowing vast quantities of independent work to be performed simultaneously across many loosely coupled computers. These systems often exploit the idle time available on computers provisioned for other purposes -volunteer computing. However, until recently, little evaluation has been performed on the energy impact of HTC. Many organisations now seek to minimise energy consumption across their IT infrastructure. However, it is unclear how this will affect the usability of HTC systems especially when exploiting volunteer computers. We present here HTC-Sim, a simulation system which allows the evaluation of different energy reduction policies across an HTC system. We model systems which are comprised of both collections of computational resources dedicated to HTC work and resources provided through volunteer computing -a Desktop Grid. We demonstrate that our simulation software scales linearly with increasing HTC workload. We go further to evaluate a number of resource selection policies in terms of the overheads / slowdown incurred, and the energy impact on the HTC system.

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Section: Forshawmentioning

confidence: 99%

HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems

Forshaw¹,

McGough²,

Thomas³

2016

Concurrency and Computation

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“…Finally, cloud brokering has been one of the most explored federation architectures, both in industry and academia. [13,6,4,14] and projects [3,5] on cloud brokering, that help cloud customers to cope with a variety of cloud interfaces, instance types, and pricing models, by providing intermediation, arbitrage, and aggregation capabilities. Regarding the networking capabilities of the above mentioned federated platforms (based on peer, hybrid, or broker architectures), most of them rely on public IP addressing to access compute instances deployed in different clouds, or use VPN tunneling mechanisms to improve security that usually are manually configured by the user.…”

Section: State-of-the-art In Cloud and Network Federationmentioning

confidence: 99%

BEACON: A Cloud Network Federation Framework

Moreno-Vozmediano

Huedo

Llorente

et al. 2016

Communications in Computer and Information Science

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Abstract. This paper presents the BEACON Framework, which will enable the provision and management of cross-site virtual networks for federated cloud infrastructures in order to support the automated deployment of applications and services across different clouds and datacenters. The proposed framework will support different federation architectures, going from tightly coupled (datacenter federation) to loosely coupled (cloud federation and multi-cloud orchestration) architectures, and will enable the creation of Layer 2 and Layer 3 overlay networks to interconnect remote resources located at different cloud sites. A high level description of the main components of the BEACON framework is also introduced.

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“…We executed the applications on two different clouds: a private cloud in our lab based on OpenStack, and a public cloud, namely BonFIRE [15], targeting large scale cloud research.…”

Section: The Cloud Platformsmentioning

confidence: 99%

“…BonFIRE [15] is a public multi-cloud testbed, currently operated on seven geographically distributed sites across Europe. We ran our experiments on three of them: de-hlrs, fr-inria, and uk-epcc.…”

Section: Public Cloudmentioning

confidence: 99%

Schlouder: A broker for IaaS clouds

Michon¹,

Gossa²,

Genaud³

et al. 2017

Future Generation Computer Systems

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In the field of cloud computing, Infrastructure as a Service (IaaS) provides virtualized on-demand computing resources on a pay-per-use model. IaaS Cloud differ from traditional mutualized infrastructures in that the resources can be dynamically claimed and released, and the real hardware infrastructure is unknown to its users. These properties drastically changes the way resource provisioning and job scheduling can be addressed by the user because i) the large number of jobs and resources to handle becomes rapidly overwhelming for human operators, and ii) the real performances of the platform should be inferred from observations to make robust scheduling decisions. In order to optimize the resources usage by the client, we advocate the need for brokers on the client-side. This article presents our work based on Schlouder, a broker of IaaS cloud resources able to provision and schedule independent jobs or static workflows according to strategies chosen by the client. Further, we advocate that simulation can be a precious auxiliary to help the user to choose between provisioning strategies. Schlouder brings a unique feature which is to predict through simulation the makespan and cost of executions under various strategies. The contribution of this work is twofold. First, it presents the broker, available as an open source project, in which new provisioning strategies can be plugged in by third parties. The effectiveness of the tool is demonstrated through experiments involving actual applications and platforms. Second, we show that simulation produces accurate predictions making this feature a helpful means for the user to choose the appropriate strategy.

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BonFIRE: The Clouds and Services Testbed

Cited by 17 publications

References 7 publications

HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems

HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems

BEACON: A Cloud Network Federation Framework

Schlouder: A broker for IaaS clouds

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