Sky Computing

Keahey, Kate; Tsugawa, Mauricio; Matsunaga, Andrea; Fortes, J.A.B.

doi:10.1109/mic.2009.94

Cited by 227 publications

(83 citation statements)

References 3 publications

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“…Going one step further, the same principle applies to a group of clouds where several building blocks underpin the creation of a sky environment [18]. By blending resources on public and private clouds, the Sky Cloud can make intensive computing efficiently, mitigate bottlenecks, and keep sensitive data protected.…”

Section: Current Trends: Sky Computingmentioning

confidence: 99%

The Building Blocks of a PaaS

et al. 2013

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Traditional cloud computing providers enable developers to program and deploy applications in the cloud by using platform as a service (PaaS) providers. Despite the benefits of such an approach, this service model usually comes with a high level of the lock in effect into the service provider. The lock in effect occurs when a software developer needs to change its cloud provider. When this happens, it usually means a major application rewrite, specific for the new PaaS. This paper details the initial results of a project whose goal is to build a PaaS where vendor lock in does not occur. With this PaaS, developers wishing to deploy their applications into the cloud may continue to program using their usual development environments. There are no necessary changes required to make the application PaaS compatible. As a proof of concept, we developed an open source PaaS management application as a regular web application and then deployed it on the cloud.

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Section: Current Trends: Sky Computingmentioning

confidence: 99%

The Building Blocks of a PaaS

et al. 2013

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“…Finally, appliance based deployment systems (e.g. [15,19]) encapsulate services and their specific support environments in virtual appliances, thus service deployment is achieved by instantiating a virtual machine that executes the virtual appliance with the service. The next section elaborates the concept of virtual appliances.…”

Section: Service Deployment Overviewmentioning

confidence: 99%

“…Nimbus virtual workspace service [15] was not developed for service deployment however, it has been demonstrated that it is also capable of deploying services packaged as appliances [25]. It supports hardware virtualization with Xen [4], and its generic framework lets the developers support other virtualization solutions.…”

Section: Related Workmentioning

confidence: 99%

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An approach for virtual appliance distribution for service deployment

Kecskeméti

Terstyánszky

Kacsuk

et al. 2011

Future Generation Computer Systems

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Fulfilling a service request in highly dynamic service environments may require deploying a service. Therefore, the effectiveness of service deployment systems affects initial service response times. On Infrastructure as a Service (IaaS) cloud systems deployable services are encapsulated in virtual appliances. Services are deployed by instantiating virtual machines with their virtual appliances. The virtual machine instantiation process is highly dependent on the size and availability of the virtual appliance that is maintained by service developers. This article proposes an automated virtual appliance creation service that aids the service developers to create efficiently deployable virtual appliances -in former systems this task was carried out manually by the developer. We present an algorithm that decomposes these appliances in order to replicate the common virtual appliance parts in IaaS systems. These parts are used to reduce the deployment time of the service by rebuilding the virtual appliance of the service on the deployment target site. With the prototype implementation of the proposed algorithms we demonstrate the decomposition and appliance rebuilding algorithms on a complex web service.

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“…Having the means for a private cloud to temporarily use resource from a public cloud as a part of an elastic resource capacity strategy can be critical in scaling enterprise cloud resources [5], [20]. This is achieved by hybrid or federated clouds, a recent paradigm that aims to integrate private and public clouds to increase elasticity and reliability [7], [14].…”

Section: Introductionmentioning

confidence: 99%

The Impact of User Rationality in Federated Clouds

Mihailescu

Teo

2012

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012)

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With cloud computing, the long-envisioned dream of computing as utility is achieved. Many of the current standalone cloud providers offer resources and services using pay-per-use fixed pricing. Spot pricing, recently introduced in Amazon EC2, is more efficient by setting the resource price dynamically, based on demand. However, this pricing scheme, similar to the uniform price auction, is truthful only when supply can be adjusted, such as the case of a standalone cloud provider. In a federated cloud, where resources from multiple cloud providers are integrated to increase elasticity and reliability, rational users can have a greater impact. In this paper, we evaluate the impact of rationality in a federated cloud, by comparing the consumer welfare achieved by spot pricing, currently used in Amazon EC2, and a strategy-proof pricing scheme. We consider different EC2 regions as providers in a federated cloud, and use traces of spot prices to determine the consumer requests and the user welfare. Our results show that spot pricing is not suitable in a federated cloud, where rational users can increase their welfare by being untruthful.

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Sky Computing

Cited by 227 publications

References 3 publications

The Building Blocks of a PaaS

The Building Blocks of a PaaS

An approach for virtual appliance distribution for service deployment

The Impact of User Rationality in Federated Clouds

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