Software System for Determining the Level of Reliability and Fault-Tolerance of Information Systems

The review of the general literature devoted to the prediction of the results of dental anomaly orthodontic treatment was carried out. An effective tool for reliable stage and result planning of orthodontic treatment is the creation of a software system contributing to individual approach as well as taking into account many factors that influence the etiopathogenesis of dental anomalies. On the background of studying the dynamics of changes in chronic gingivitis during orthodontic treatment, a protocol was developed for constructing a mathematical model for creating software which can be used for implementing personalized treatment approach.

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A Research to Enhance the Fault Tolerance of the CORBA Based Traffic Information Systems

The KIPS Transactions PartD ◽

10.3745/kipstd.2003.10d.6.991 ◽

2003 ◽

Vol 10D (6) ◽

pp. 991-998

Author(s):

Woon-Suk Seh ◽

Kwang-Taek Ryu ◽

Eun-Seok Lee

Keyword(s):

Information Systems ◽

Fault Tolerance ◽

Traffic Information

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Methods of Ensuring the Reliability and Fault Tolerance of Information Systems

Advances in Intelligent Systems and Computing - Information Technology – New Generations ◽

10.1007/978-3-319-77028-4_93 ◽

2018 ◽

pp. 729-730 ◽

Cited By ~ 7

Author(s):

Askar Boranbayev ◽

Seilkhan Boranbayev ◽

Kuanysh Yersakhanov ◽

Assel Nurusheva ◽

Roman Taberkhan

Keyword(s):

Information Systems ◽

Fault Tolerance

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Software - Implemented Self-healing System

CLEI electronic journal ◽

10.19153/cleiej.10.2.5 ◽

2007 ◽

Vol 10 (2) ◽

Author(s):

Goutam Kumar Saha

Keyword(s):

Fault Tolerance ◽

Error Detection ◽

Web Application ◽

Fault Model ◽

System Response ◽

Software System ◽

Actual Behavior ◽

Self Healing ◽

Software Application ◽

Healing System

The term “Self-healing” denotes the capability of a software system in dealing with bugs. Fault tolerance for dependable computing is to provide the specified service through rigorous design whereas self-healing is meant for run-time issues. The paper describes various issues on designing a self-healing software application system that relies on the on-the-fly error detection and repair of web application or service agent code and data. Self-Healing is a very new area of research that deals with fault tolerance for dynamic systems. Self-healing deals with imprecise specification, uncontrolled environment and reconfiguration of system according to its dynamics. Software, which is capable of detecting and reacting to its malfunctions, is called self-healing software. Such software system has the ability to examine its failures and to take appropriate corrections. Self-Healing system must have knowledge about its expected behavior in order to examine whether its actual behavior deviates from its expected behavior in relation of the environment. A fault-model of Self-Healing system is to state what faults or injuries to be self-healed including fault duration, fault source such as, operational errors, defective system requirements or implementation errors etc. Self-healing categories of aspects include fault-model or fault hypothesis, System-response, System-completeness and Design-context. Based on many important literatures, this paper aims also to illustrate critical points of the emergent research topic of Self – Healing Software System.

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Maintaining Replicated Recovery Log for RESTful Services

International Journal of Grid and High Performance Computing ◽

10.4018/ijghpc.2015070102 ◽

2015 ◽

Vol 7 (3) ◽

pp. 23-35 ◽

Cited By ~ 1

Author(s):

Anna Kobusińska ◽

Dariusz Wawrzyniak

Keyword(s):

Information Systems ◽

Fault Tolerance ◽

Rollback Recovery ◽

Failure State ◽

Service Oriented ◽

Restful Services ◽

Persistent Storage

Along with development of information systems, their requirements in terms of fault-tolerance increase and become more stringent. A possible approach to deal with this issue is rollback-recovery that consists in loading by the recovering node its most recent checkpoint, or retransmitting requests saved in its message log, to reach a consistent pre-failure state. Both checkpoint and message log are commonly said to be saved in a persistent storage able to survive any failure. In this paper the authors propose the implementation of a stable storage by means of replication of the log containing recovery information. The proposed solution is especially tailored for the service oriented systems implemented accordingly to REST paradigm. Thus, they utilize RESTful semantics in order to reduce the size of replicated recovery log and thereby increasing the efficiency of the proposed recovery log replication protocol.

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