IaaS Cloud Architecture: From Virtualized Datacenters to Federated Cloud Infrastructures

Moreno-Vozmediano, Rafael; Montero, Rubén; Llorente, Ignacio

doi:10.1109/mc.2012.76

Cited by 206 publications

(122 citation statements)

References 11 publications

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“…7 is arguably one of the core cloud components [2]. Virtualization breaks the one-to-one relationship between the Operating System (OS) 4 Unless the cloud is private or hybrid [12].…”

Section: Server or Hardware Virtualizationmentioning

confidence: 99%

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A Novel Query Caching Scheme for Dynamic InfiniBand Subnets

Tasoulas

Gran

Johnsen³

et al. 2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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The advent of the Internet of Things, sensor and social networks, to mention just a few examples, all contribute towards the solid establishment of the Big Data era. High Performance Computing (HPC) becomes necessary for the efficient processing of the massive amounts of data our society generates, and cloud computing is a critical component to deliver this processing power to a broader audience that cannot afford to acquire and maintain such complex computing systems themselves. However, HPC specific technology and performance is not yet apt to be delivered efficiently over highly flexible and dynamic environments, as typically are the virtualized cloud infrastructures.In this thesis, we address challenges that arise in high performance dynamic cloud environments, that are equipped with HPC specific technology, in the context of networking and virtualization. We use InfiniBand, a high performance lossless interconnection network as the basis of our research, and first show that lossless networks pose prime challenges when the nature of the infrastructure is very dynamic, i.e. exhibits continuous changes. Then we propose a network I/O virtualization architecture, the InfiniBand vSwitch architecture, that can make lossless network technologies more favorable in the cloud. Moreover, we propose different network reconfiguration methods to enable performance-driven reconfigurations in very large network topologies that are commonly found in data centers. Performance-driven reconfigurations are frequently needed to adapt to unpredictable workload changes resulting from the shared and on-demand nature of a cloud platform, or when cloud providers employ live migration of virtual machines to optimize the resource usage of their infrastructure. Last but not least, we propose a new Quality-of-Service metric, called delay, to capture the directly observable service degradation in consolidated cloud environments. We suggest that the delay can be used as a direct service level agreement metric between cloud providers and cloud tenants. AcknowledgementsFirst, I would like to express my gratitude to my three supervisors; Ernst Gunnar Gran, Tor Skeie and Kyrre Begnum. Without their positiveness, supervision, suggestions and encouragement, my PhD journey would not have been so fruitful and enjoyable during both the good and hard times. Then I would like to thank Bjørn Dag Johnsen from Oracle Norway, our closest collaborate in the ERAC project, the project that mainly funded this thesis, for his enthusiastic attitude and participation in the important discussions that shaped the direction of my work and introduced industrial relevance. My appreciation goes as well to Feroz Zahid for being the most easygoing colleague whom I could imagine sharing office with, and a brilliant and ambitious associate, and Sven-Arne Reinemo for his supervision during my early days.A special thank you must be directed to Hårek Haugerud, Anis Yazidi, Hugo Lewi Hammer, Laurence Marie Anna Habib and the whole NETSYS group at the Oslo and Akershus...

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“…7 is arguably one of the core cloud components [2]. Virtualization breaks the one-to-one relationship between the Operating System (OS) 4 Unless the cloud is private or hybrid [12].…”

Section: Server or Hardware Virtualizationmentioning

confidence: 99%

“…Arguably, virtualization is the core technology that drives IaaS cloud platforms and provides many of the desired cloud features [2]. Some well known characteristics of cloud platforms that would not be possible without virtualization are the elasticity and consolidation.…”

Section: Infrastructure As a Service And Resource Consolidationmentioning

confidence: 99%

A Novel Query Caching Scheme for Dynamic InfiniBand Subnets

Tasoulas

Gran

Johnsen³

et al. 2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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“…Providing command line interfaces and application programming interfaces (API) in several programming languages, Vishnu provides users with a simple way to access and use the underlying resources, without needing any specific knowledges on the backend cluster/cloud resource managers. SLURM [6], LoadLeveler [7], OpenNebula [4], to name but a few, are supported resource manager backends. Figure 2 presents the global architecture of Vishnu.…”

Section: Vishnumentioning

confidence: 99%

Hybrid Approach for Energy Aware Management of Multi-cloud Architecture Integrating user Machines

Borgetto

Chakode²,

Depardon³

et al. 2015

J Grid Computing

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“…It could be argued that any listing that covers the most widely used IaaS cloud frameworks must include OpenStack [5], CloudStack [13], OpenNebula [14] and Eucalyptus [15]. Precisely, in order to determine which of them could couple qosh best, a reduced installation was carried out before putting them to use.…”

Section: Framework and Software Selectionmentioning

confidence: 99%

Assessment, Design and Implementation of a Private Cloud for MapReduce Applications

Salgueiro¹,

González²,

Pena³

et al. 2014

OALib

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Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and Big Data applications. On the other hand, Cloud computing seems to be increasingly attractive in solving these computing problems that demand a lot of resources. This paper explores the potential symbiosis between MapReduce and Cloud Computing, in order to create a robust and scalable environment to execute MapReduce workflows regardless of the underlaying infrastructure. The main goal of this work is to provide an easy-to-install interface, so as non-expert scientists can deploy a suitable testbed for their MapReduce experiments on local resources of their institution. Testing cases were performed in order to evaluate the required time for the whole executing process on a real cluster.

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IaaS Cloud Architecture: From Virtualized Datacenters to Federated Cloud Infrastructures

Cited by 206 publications

References 11 publications

A Novel Query Caching Scheme for Dynamic InfiniBand Subnets

A Novel Query Caching Scheme for Dynamic InfiniBand Subnets

Hybrid Approach for Energy Aware Management of Multi-cloud Architecture Integrating user Machines

Assessment, Design and Implementation of a Private Cloud for MapReduce Applications

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