FATOMAS-a fault-tolerant mobile agent system based on the agent-dependent approach

Pleisch, Stefan; Schiper, André

doi:10.1109/dsn.2001.941407

Cited by 60 publications

(33 citation statements)

References 11 publications

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“…To validate our architecture, we have also ported FATOMAS to Mopros, an experimental mobile process platform developed in our laboratory. A more indepth discussion of FATOMAS can be found in [22].…”

Section: Fatomasmentioning

confidence: 99%

Fault-tolerant mobile agent execution

Pleisch

Schiper

2003

IEEE Trans. Comput.

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Abstract-Mobile agents have attracted considerable interest in recent years. In the context of mobile agents, fault tolerance is crucial to enable the integration of mobile agent technology into today's business applications. This article identifies two important properties for fault-tolerant mobile agent execution: nonblocking and exactly-once. Nonblocking ensures that the agent execution can proceed despite a single failure of the agent or the machine, for instance. Replication is the generally adopted mechanism to prevent blocking, but may lead to multiple executions of the agent (i.e., a violation of the exactly-once property), which is undesirable with operations that have side effects. Hence, we propose that fault-tolerant mobile agent execution be modeled as a sequence of agreement problems. Our approach is nonblocking and ensures exactly-once execution. FATOMAS, our prototype fault-tolerant mobile agent system, implements our approach. Its performance evaluation illustrates the overhead of the replication mechanisms.

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Section: Fatomasmentioning

confidence: 99%

Fault-tolerant mobile agent execution

Pleisch

Schiper

2003

IEEE Trans. Comput.

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“…To this end, despite the flexibility offered by mobile agents, agents are not isolated from several challenges such as malicious or errant hosts, erratic Internet behaviors or resource scarcity [6]. These therefore, calls for reliability and security mechanisms to be in place [9], [12]. The reliability issue is being addressed by fault tolerance mechanisms, which is the focus of this study.…”

Section: Overview Of Mobile Agentsmentioning

confidence: 99%

A Systematic Review of Fault Tolerance in Mobile Agents

Isong¹

2013

AJSEA

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Abstract:Mobile agents have engrossed substantial attention in recent years, especially in fault tolerance researches and several approaches have emerged. Fault tolerance design tends to put a stop to incomplete or complete loss of the agent in the face of failures. Despite these developments, reliability issues still remain a critical challenge. Moreover, there is no comprehensive detail bringing together, summaries of the existing efforts of researches in order to focus attention where it is needed most. Therefore, our objective in this systematic literature review (SR) is to explore and analyze the existing fault tolerance implementations in order to bring about the state-of-the-art and the challenges in mobile agent's fault tolerance approaches. We used studies from a number of relevant article sources, and our results showed the existence of twenty six articles. Our analysis indicates that the existing approaches are not generic and each focuses on a specific aspect of the problem, usually in one or two specific fault models which impacts on agent's reliability. The implication of the study is to give a clear direction to future researchers in this area for a better reliable and transparent fault tolerance in mobile agents.

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“…Or as in [8], the priority of every replica is predetermined and only the replica with the highest priority can initiate the consensus step when a primary fails. In this scheme, the (j + 1 )-th replica can take over the task execution step of the current stage, when up to the j-th replica fails.…”

Section: Synchronaus Replicationmentioning

confidence: 99%

“…This means that only the majority of replicas have a chance for the alternative task execution and the others are made just for attending the consensus step. Assuming the consensus algorithm using the predetermined priority [8], the k replicas with lower priorities are sure to attend only the consensus step. Therefore, in the proposed scheme, we replace the k lower priority replicas with fixed consensus agents.…”

Section: Lazy Replication and Asynchronous Consensusmentioning

confidence: 99%

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Lazy Agent Replication and Asynchronous Consensus for the Fault-Tolerant Mobile Agent System

Park

Byun

Yeom

2004

Lecture Notes in Computer Science

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Abstract. In this paper, we propose a low overhead replication scheme for the fault-tolerant mobile agent system. In the proposed lazy replication scheme, execution of a primary agent and migration of its replicas are concurrently processed . Also, the primary agent perforrns asynchronaus consensus with fixed consensus agents so that the consensus step and the replica migration step can concurrently be processed. As a result, the primary agent should not wait for the completion of the replica migration step unless any of the consensus agents fails. The proposed scheme has been implemented on top of the Aglet system and its performance has been measured.

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FATOMAS-a fault-tolerant mobile agent system based on the agent-dependent approach

Abstract: Abstract

Cited by 60 publications

References 11 publications

Fault-tolerant mobile agent execution

Fault-tolerant mobile agent execution

A Systematic Review of Fault Tolerance in Mobile Agents

Lazy Agent Replication and Asynchronous Consensus for the Fault-Tolerant Mobile Agent System

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