Novel Framework for Fault Tolerant in a Cloud Environment using ACO Algorithm

Kushwah, Virendra Singh; Goyal, Sandip Kumar

doi:10.21742/ijpccem.2015.2.2.03

Cited by 1 publication

(1 citation statement)

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“…The concepts of re-initialization, reconfiguration, roll-back points, and recovery blocks (Verma, Guleria, & Lakhanpal, 2014;Mushtaq, Al-Ars, & Bertels, 2011;Kushwah, Goyal & Narwariya, 2014) are used in combination-for example, when a fault occurs, a recovery block is used to recover from the faulty code and a healthy state of the system is referenced using a checkpoint and a roll-back point. These two last tools must be used carefully due to coordination problems, even in the case of a distributed system.…”

Section: Related Workmentioning

confidence: 99%

An Agent-Based Fault Tolerance Mechanism for Dependable Medical Systems

Zaiter

Hacini

Boufaïda

2015

International Journal of Embedded and Real-Time Communication Systems

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The use of distributed systems and IT is growing, with automation being used more and more to facilitate our daily tasks. The need to remotely monitor a patient has driven one of important results of this growth: domestic medical systems. The latter are able to follow and maintain the condition of a patient in the patient's home. Monitoring is important in terms of saving time and also money. However, the critical nature of this task requires a high level of dependability. The aim of dependability is to satisfy the user's goal, which is that whatever the state and context of the overall system, its ability to control the operation of the medical device and to transmit files reporting the patient's condition (normal, critical, alert, etc.) must be continuously assured. This can be ensured by fault tolerance techniques. The authors' objective in this paper is to present a technique for fault tolerance in a domestic medical system. Briefly, their proposal integrates a smart concept into the system: agents for controlling the operation of the medical system and tolerating the faults that can occur.

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Section: Related Workmentioning

confidence: 99%