Automatic Service Deployment Using Virtualisation

Kecskeméti, Gábor; Kacsuk, Péter; Terstyánszky, Gábor; Kiss, Tamás; Delaitre, Thierry

doi:10.1109/pdp.2008.89

Cited by 16 publications

(10 citation statements)

References 10 publications

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“…In [20] an on-demand provisioning approach for grid environments is proposed. Similarly to [19] the focus of this work is the selection of an appropriate grid node a requested service will be provisioned on.…”

Section: Related Workmentioning

confidence: 99%

Service Selection for On-Demand Provisioned Services

Vukojevic-Haupt

Haupt

Karastoyanova

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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Abstract-Service selection is an important concept in service oriented architectures that enables the dynamic binding of services based on functional and non-functional requirements. The introduction of the concept of on-demand provisioned services significantly changes the nature of services and as a consequence the traditional service selection process does not fit anymore. Existing approaches for service selection rely on the always on semantic of services, an assumption that is not valid for on-demand provisioned services. We tackle this problem by adapting the traditional service selection process and by defining an additional step covering the changes introduced by the concept of on-demand provisioning. Our solution comprises an extended architecture for on-demand provisioning, a metamodel for a service registry, and a detailed definition and discussion of the adapted and extended service selection process. The work presented in this paper allows keeping the advantages of dynamic service binding at runtime and combining them with the advantages of Cloud computing exploited through the concept of on-demand provisioning.

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Section: Related Workmentioning

confidence: 99%

Service Selection for On-Demand Provisioned Services

Vukojevic-Haupt

Haupt

Karastoyanova

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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“…This section discusses the Automatic Service Deployment (ASD) architecture that we proposed in [16]. This architecture aims to provide an appliance based, universal and non-invasive deployment system that supports all deployment tasks (outlined in Figure 1) on Infrastructure as a Service cloud systems.…”

Section: Architecturementioning

confidence: 99%

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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“…• Automatic Service Deployer: It installs the required service on the selected resource on demand as described in [10].…”

Section: Sla-based Layered Cloud Infrastructuresmentioning

confidence: 99%

“…Table II shows the implementation choices for the layered Cloud architecture and the possible reactive actions each layer can perform. We use Meta Negotiator [4], Meta Broker [12], GTBroker [13] and Automatic Service Deployer [10] components, which have already been used and evaluated to build an SLA-based resource virtualization environment for on-demand service provision [11].…”

Section: Sla-based Layered Cloud Infrastructuresmentioning

confidence: 99%

LAYSI: A Layered Approach for SLA-Violation Propagation in Self-Manageable Cloud Infrastructures

Brandić

Emeakaroha

Maurer

et al. 2010

2010 IEEE 34th Annual Computer Software and Applications Conference Workshops

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Abstract-Cloud computing represents a promising computing paradigm where computing resources have to be allocated to software for their execution. Self-manageable Cloud infrastructures are required to achieve that level of flexibility on one hand, and to comply to users' requirements specified by means of Service Level Agreements (SLAs) on the other. Such infrastructures should automatically respond to changing component, workload, and environmental conditions minimizing user interactions with the system and preventing violations of agreed SLAs. However, identification of sources responsible for the possible SLA violation and the decision about the reactive actions necessary to prevent SLA violation is far from trivial. First, in this paper we present a novel approach for mapping low-level resource metrics to SLA parameters necessary for the identification of failure sources. Second, we devise a layered Cloud architecture for the bottom-up propagation of failures to the layer, which can react to sensed SLA violation threats. Moreover, we present a communication model for the propagation of SLA violation threats to the appropriate layer of the Cloud infrastructure, which includes negotiators, brokers, and automatic service deployer.

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Automatic Service Deployment Using Virtualisation

Cited by 16 publications

References 10 publications

Service Selection for On-Demand Provisioned Services

Service Selection for On-Demand Provisioned Services

An approach for virtual appliance distribution for service deployment

LAYSI: A Layered Approach for SLA-Violation Propagation in Self-Manageable Cloud Infrastructures

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