CADeComp: Context-aware deployment of component-based applications

Ayed, Dhouha; Taconet, Chantal; Guy, Bernard; Berbers, Yolande

doi:10.1016/j.jnca.2006.12.002

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…Ayed et al [63] presented an approach for context-aware deployments of componentbased applications on top of existing deployment technologies by using a deployment model that is platform independent. The deployment model consists of components and communication relations.…”

Section: Context-aware Deploymentsmentioning

confidence: 99%

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model

et al. 2022

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For automating the deployment of composite applications, typically, declarative deployment models are used. Depending on the context, the deployment of an application has to fulfill different requirements, such as costs and elasticity. As a consequence, one and the same application, i.e., its components, and their dependencies, often need to be deployed in different variants. If each different variant of a deployment is described using an individual deployment model, it quickly results in a large number of models, which are error prone to maintain. Deployment technologies, such as Terraform or Ansible, support conditional components and dependencies which allow modeling different deployment variants of a composite application in a single deployment model. However, there are deployment technologies, such as TOSCA and Docker Compose, which do not support such conditional elements. To address this, we extend the Essential Deployment Metamodel (EDMM) by conditional components and dependencies. EDMM is a declarative deployment model which can be mapped to several deployment technologies including Terraform, Ansible, TOSCA, and Docker Compose. Preprocessing such an extended model, i.e., conditional elements are evaluated and either preserved or removed, generates an EDMM conform model. As a result, conditional elements can be integrated on top of existing deployment technologies that are unaware of such concepts. We evaluate this by implementing a preprocessor for TOSCA, called OpenTOSCA Vintner, which employs the open-source TOSCA orchestrators xOpera and Unfurl to execute the generated TOSCA conform models.

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Section: Context-aware Deploymentsmentioning

confidence: 99%

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model

et al. 2022

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“…Planningbased adaptation refers to the ability of an application to reconfigure itself in response to context changes by using awareness of its composition and QoS metadata associated with each of the services making it up [8]. CADeComp [9] is a middleware for context-aware deployment of component-based applications. This middleware extends existing deployment services by integrating adaptation capabilities needed in the field of mobile applications and limited devices.…”

Section: Structural Adaptationmentioning

confidence: 99%

Kalimucho

Da¹,

Dalmau²,

Roose³

2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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Developing ubiquitous applications is particularly complex. Beyond the dynamic aspect of such applications, the evolution of computing towards the multiplication of mobile access terminals is not making things easier. One solution to simplifying the development and use of such applications is to use software platforms dedicated to deployment and adaptation of applications and handling the heterogeneity of peripherals. They allow designers to focus on business aspects and facilitate reuse. The Kalimucho platform was designed and developed against this background. It executes and supervises applications based on software components.

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“…Many context data systems leveraging on different technologies have been proposed and designed in previous research, such as Roman et al (2002), Panu et al (2003), Licia et al (2003), Chen et al (2004, 2008), Gu et al (2005), Athanasopoulos et al (2008), Ayed et al (2008) and Cho et al (2008). However, not all of them leverage on space‐based approach as Coalition.…”

Section: Related Workmentioning

confidence: 99%

“…Context data management, as a key component of context aware computing, aims to gather, process, manage and disseminate the context data belonging to different context resources. The development of sophisticated context data management systems is an important research topic and a number of such systems have been proposed that include Chen et al (2004, 2008), Athanasopoulos et al (2008), Ayed et al (2008) and Cho et al (2008) among others. An essential aspect of context data management is how to model different context entities so that context data management solutions can be properly proposed and designed.…”

Section: Introductionmentioning

confidence: 99%

A context management framework for context‐aware applications in mobile spaces

Chen

Sen

Pung³

et al. 2012

International Journal of Pervasive Computing and Communications

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PurposeThe rapid proliferation of mobile context aware applications has resulted in an increased research interest towards developing specialized context data management strategies for mobile entities. The purpose of this paper is to aim to develop a new way to model mobile entities and manage their contexts accordingly.Design/methodology/approachThis paper proposes the concept of “Mobile Space” to model mobile entities and presents strategies to manage the various contexts associated therein. To handle availability related issues, two system services are designed: the “Availability Updating Service” which is an identifier based mechanism and is designed to keep track of mobile objects and handle availability related issues, and the “Application Callback Service” which is a publish/subscribe based mechanism to handle application disruptions and interruptions arising due to mobility.FindingsThe paper presents a detailed study of the proposed framework and a description of the underlying services and the components therein to validate the framework. Experimental results carried out in WiFi and 3G environments indicate that the proposed techniques can support mobile applications and minimize application disruptions with minimal overhead.Originality/valueThe proposed context management framework is generic in nature and is not designed for a specific class of applications. Any mobile context aware application can leverage on the framework and utilize the provided functionalities to manage application disruptions. Also, the decoupling of mobile application layer and the underlying context data management layer renders context data management layer transparent to the application design.

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CADeComp: Context-aware deployment of component-based applications

Cited by 10 publications

References 15 publications

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model

Modeling Different Deployment Variants of a Composite Application in a Single Declarative Deployment Model

Kalimucho

A context management framework for context‐aware applications in mobile spaces

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