ORYA: A Strategy Oriented Deployment Framework

Cunin, Pierre-Yves; Lestideau, Vincent; Merle, Noëlle

doi:10.1007/11590712_14

Cited by 6 publications

(5 citation statements)

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“…Cunin et al propose a framework called ORYA (Open enviRonment to deploY Applications) for designing and driving property-based specialized deployment strategies (Cunin et al, 2005).…”

Section: Oryamentioning

confidence: 99%

“…SmartFrog has been designed with the express purpose of making the design, deployment and management of distributed componentbased systems simpler and more robust (Sabharwal, 2006;Goldsack et al, 2009). At last, ORYA focuses purely on deployment strategies and proposes a framework for their expression using properties and rules (Cunin et al, 2005).…”

Section: High-level Formalisms and Expressivenessmentioning

confidence: 99%

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Automatic deployment of distributed software systems: Definitions and state of the art

Arcangeli

Boujbel

Leriche

2015

Journal of Systems and Software

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Highlights• This article renews knowledge about distributed software deployment.• It provides up-to-date de nitions and terminology.• It proposes a framework to analyze the state of the art of automatic deployment.• It reviews the recent research works and synthesizes the results.• Actual methods barely satisfy heterogeneity, scalability and dynamics requirements. AbstractDeployment of software systems is a complex post-production process that consists in making software available for use and then keeping it operational. It must deal with constraints concerning both the system and the target machine(s), in particular their distribution, heterogeneity and dynamics, and satisfy requirements from different stakeholders. In the context of mobility and openness, deployment must react to the instability of the network of machines (failures, connections, disconnections, variations in the quality of the resources, etc.). Thus, deployment should be an uninterrupted process which also works when software is running and requires adaptiveness in order to continually satisfy the constraints and the requirements. Originally managed "by hand", software deployment demands an increasing level of automation and autonomy. This article first provides up-to-date terminology and definitions related to software deployment. Then, it proposes an analytical framework and reviews recent research works on automatic deployment with reference to this framework, and synthesizes the results. The review shows that existing solutions are incomplete, and possibly inefficient or unusable, when distribution, heterogeneity, scalability, dynamics and openness are primary concerns. In particular, they barely support dynamic reactions to unforeseeable events. Additionally, abstraction level and expressiveness at design time are rather limited regarding deployment complexity.

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“…Cunin et al propose a framework called ORYA (Open enviRonment to deploY Applications) for designing and driving property-based specialized deployment strategies (Cunin et al, 2005).…”

Section: Oryamentioning

confidence: 99%

Section: High-level Formalisms and Expressivenessmentioning

confidence: 99%

Automatic deployment of distributed software systems: Definitions and state of the art

Arcangeli

Boujbel

Leriche

2015

Journal of Systems and Software

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“…For instance, when bundles to be deployed are already running on a gateway, we may or may not re-install them (to take advantage of a newer version for example). Such strategies are not explicit today: we are actually working on innovative representation of such knowledge to better manage the optimization strategies [8].…”

Section: Plannermentioning

confidence: 99%

Deployment of software services in the power distribution context

Lalanda¹,

Chazalet²,

Lestideau³

2006

2006 IEEE International Conference on Industrial Informatics

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“…Most work conducted in the last decade has adopted an agnostic approach regarding the software entities to be deployed. Thus, architectures [3] [4], tools and strategies [5] have been proposed to automate the deployment of standalone software entities in complex, large-scale environments. Few contributions have tackled the deployment of applications made of interacting entities like software services [6].…”

Section: Introductionmentioning

confidence: 99%