GEMLCA: Running Legacy Code Applications as Grid Services

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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“…The GEMLCA [9] service has several internal (e.g. a Globus Toolkit 4 (GT4) service container) and external dependencies (e.g.…”

Section: Methodsmentioning

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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“…OGSA-BES basic execution service implementations and JSDL job submission description language repositories) or other generic application wrappers (e.g. Application Hosting Environment (AHE) [4], Grid Execution Management for Legacy Code Application (GEMLCA) [5], Generic Application Service Factory (gFac) [9]). A specific interface is tuned for the application and written by either the application developers or by the user community.…”

Section: Service and Application Deployment Issuesmentioning

confidence: 99%

Automatic Service Deployment Using Virtualisation

Kecskeméti

Kacsuk

Terstyánszky

et al. 2008

16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)

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Manual deployment of the application usually requires expertise both about the underlying system and the application. Automatic service deployment can improve deployment significantly by using on-demand deployment and selfhealing services. To support these features this paper describes an extension the Globus Workspace Service [10]. This extension includes creating virtual appliances for Grid services, service deployment from a repository, and influencing the service schedules by altering execution planning services, candidate set generators or information systems.

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“…Examples of such systems include LGF [11] which wraps legacy code as Globus 4 services on a fine-grained level, or GEMLCA [12], which offers a more coarse-grained approach. However, they are limited to a single middleware suite, such as Globus 4.…”

Section: Related Workmentioning

confidence: 99%

A Tool for Building Collaborative Applications by Invocation of Grid Operations

Malawski

Bartyński

Bubak

2008

Computational Science – ICCS 2008

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Abstract. The motivation for this work is the need for providing tools which facilitate building scientific applications that are developed and executed on various Grid systems, implemented with different technologies. As a solution to this problem, we have developed the Grid Operation Invoker (GOI) which offers object-oriented method invocation semantics for interacting with computational services accessible with diverse middleware frameworks. GOI forms the core of the ViroLab virtual laboratory engine and it is used to invoke operations from within experiments described using a scripting notation. In this paper, after outlining the features of GOI, we describe how it is enhanced with a mechanism of so-called local gems which allows adding high-level support for middleware technologies based on the batch job-processing model, e.g. EGEE LCG/gLite. As a result, we demonstrate how a molecular dynamics program called NAMD, deployed on EGEE, was integrated with the ViroLab virtual laboratory.

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GEMLCA: Running Legacy Code Applications as Grid Services

Cited by 100 publications

References 19 publications

An approach for virtual appliance distribution for service deployment

An approach for virtual appliance distribution for service deployment

Automatic Service Deployment Using Virtualisation

A Tool for Building Collaborative Applications by Invocation of Grid Operations

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