A Mobile Agent Approach to Process-Based Dynamic Adaptation of Complex Software Systems

Valetto, Giuseppe; Kaiser, Gail E.; Kc, Gaurav S.

doi:10.1007/3-540-45752-6_9

Cited by 31 publications

(27 citation statements)

References 19 publications

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“…Dowód. For the chosen M we already showed that z M (8, 10) = z M (6,10). Therefore, z M,10 (8) = z M,10 (6).…”

Section: Theorem 2 Let M Be the Dtm Shown Above And Letmentioning

confidence: 83%

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Turing Machine Approach to Runtime Software Adaptation

Rudy

2014

csci

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“…Dowód. For the chosen M we already showed that z M (8, 10) = z M (6,10). Therefore, z M,10 (8) = z M,10 (6).…”

Section: Theorem 2 Let M Be the Dtm Shown Above And Letmentioning

confidence: 83%

“…For example, Villazón and Binder [11] proposed an approach using aspect-oriented programming dedicated solely for Java. On the other side, Valetto et al [10] rely on the software agents paradigm in their solution, once again for Java. Another approach was proposed by Rudy [7], which is a low-level tool aimed at C++ applications for Linux.…”

Section: Introductionmentioning

confidence: 99%

Turing Machine Approach to Runtime Software Adaptation

Rudy

2014

csci

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“…[15] proposes an agent deployment model based on the CORBA Component Model. [20] proposes an approach for dynamic adaptation based on agents. They allow dynamic deployment and apply migration as deployment strategy.…”

Section: Related Workmentioning

confidence: 99%

An Ontology-based Approach to Semantically Deploy Services in Pervasive Environments

Chamekh

Mouël

2007

IEEE International Conference on Pervasive Services

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Abstract-The development of highly dynamic and pervasive environments has lead to a proliferation of services coming from different providers. These services are usually deployed independently of the context, platforms and devices present in the environment. We propose an ontology-based approach to take advantage of semantic to enable an optimized deployment of services in pervasive environments. We realize a deployment system which takes into account semantic description of services, semantic description of environment and semantic description of deployment itself to apply deployment strategies. Our semantic deployment is based on the Ontology Web Language for Services (OWL-S). We enrich the OWL-S with devices and platforms considerations.

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“…Survivor is implemented in Java, and uses Worklets, our Java-based mobile agent technology [Valetto 2001] during monitoring to communicate with the executing task's node, during replication for transporting Versions to Replicators, and for transitioning to the successor task for recovery. The Worklets toolkit enabled us to implement the system more rapidly; our model can be used with other transport mechanisms if desired.…”

Section: Step 1: Implementing Survivormentioning

confidence: 99%

Survivor: An Approach for Adding Dependability to Legacy Workflow Systems

Greze¹,

Kaiser²,

Ke³

2005

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Although they often provide critical services, most workflow systems are not dependable. There has been much research on dependable/survivable distributed systems; most is concerned with developing new architectures, not adapting pre-existing ones. Additionally, the research has focused on hardening, security-based defense, as opposed to recovery. For deployed systems, it is often infeasible to completely replace existing infrastructure; what is needed are ways to adapt existing distributed systems to offer better dependability. In this paper, we outline a general architecture that can easily be retrofitted to legacy workflow systems in order to improve dependability and fault tolerance. We do this by monitoring enactment and replicating partial workflow states as tools for detection, analysis and recovery. We discuss some policies that can guide these mechanisms. Finally, we describe and evaluate our implementation, Survivor, which modified an existing workflow system provided by the Naval Research Lab.

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A Mobile Agent Approach to Process-Based Dynamic Adaptation of Complex Software Systems

Cited by 31 publications

References 19 publications

Turing Machine Approach to Runtime Software Adaptation

Turing Machine Approach to Runtime Software Adaptation

An Ontology-based Approach to Semantically Deploy Services in Pervasive Environments

Survivor: An Approach for Adding Dependability to Legacy Workflow Systems

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