Constraint-Based Deployment of Distributed Components in a Dynamic Network

Hoareau, Didier; Mahéo, Yves

doi:10.1007/11682127_32

Cited by 10 publications

(11 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Architecture-based approaches These approaches use Architecture Description Langauge (ADL). The work [4] presents an ADL extension for specifying a context-aware deployment. This deployment is performed in a propagative way and is driven by constraints put on the resources of the target hosts.…”

Section: Related Workmentioning

confidence: 99%

Towards a Multi-scale Modeling for Architectural Deployment Based on Bigraphs

Gassara

Rodriguez

Jmaïel

2013

Software Architecture

View full text Add to dashboard Cite

Abstract. With the evolution of distributed systems in size and complexity, software deployment remains a challenging task. Despite the existence of several approaches, most of them use informal models that lack a solid mathematic foundation. In this paper, we propose a bigraphical based approach for modeling and formalizing the deployment of distributed applications. This approach relies on multi-scale modeling. So, we start by modeling the first scale with a bigraph. This bigraph is enriched, through a series of reaction rules, until reaching the last scale that represents the deployment architecture.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards a Multi-scale Modeling for Architectural Deployment Based on Bigraphs

Gassara

Rodriguez

Jmaïel

2013

Software Architecture

View full text Add to dashboard Cite

show abstract

“…Dynamic networks with intermittent connections play a key role in the deployment method for hierarchical components in a heterogeneous distributed system [13]. Unlike other approaches, the deployment plan is not calculated in advance but determined dynamically during the deployment process in a propagative manner.…”

Section: Related Workmentioning

confidence: 99%

A Planning Method for Component Placement in Smart Item Environments Using Heuristic Search

Anke¹,

Wolf

Hackenbroich

et al. 2007

Distributed Applications and Interoperable Systems

View full text Add to dashboard Cite

Abstract. Smart item environments consist of networked nodes with heterogeneous hardware equipment and intermittent network connections. Using a common component technology allows for flexible distribution of components for processing of smart item data. Finding a good deployment plan for a new set of components in an infrastructure is called Component Placement Problem. We propose an approach for finding suitable deployment plans for components with special regard to the characteristics of smart item environments. Our method evaluates deployment plans in terms of both resource consumption and availability. From the analysis of the solution space we conclude that the number of network link uses is an important criterion for the quality of a deployment plan regarding both cost and availability. Based on this finding, we have derived a heuristic that creates deployment plans, which have a low number of link uses and are thus more likely of high quality. 1

show abstract

“…We made the most of the results obtained in [5] in which we have used a consensus algorithm to elect a manager that decides on the placement of a set of components. The consensus algorithm ensures that no contradictory decisions can be made in two different islands, e.g.…”

Section: Deployment Processmentioning

confidence: 99%

Component Deployment Evolution Driven by Architecture Patterns and Resource Requirements

Hoareau

Tibermacine

2006

Software Architecture

Self Cite

View full text Add to dashboard Cite

Abstract. Software architectures are often designed with respect to some architecture patterns, like the pipeline and peer-to-peer. These patterns are the guarantee of some quality attributes, like maintainability or performance. These patterns should be dynamically enforced in the running system to benefit from their associated quality characteristics at runtime. In dynamic hosting platforms where machines can enter the network, offering new resources, or fail, making the components they host unavailable, these patterns can be affected. In addition, in this kind of infrastructures, some resource requirements can also be altered. In this paper we present an approach which aims at dynamically assist deployment process with information about architectural patterns and resource constraints. This ensures that, faced with disconnections or machine failures, the runtime system complies permanently with the original architectural pattern and the initial resource requirements.

show abstract

Constraint-Based Deployment of Distributed Components in a Dynamic Network

Cited by 10 publications

References 13 publications

Towards a Multi-scale Modeling for Architectural Deployment Based on Bigraphs

Towards a Multi-scale Modeling for Architectural Deployment Based on Bigraphs

A Planning Method for Component Placement in Smart Item Environments Using Heuristic Search

Component Deployment Evolution Driven by Architecture Patterns and Resource Requirements

Contact Info

Product

Resources

About