Performance evaluation for self-healing distributed services and fault detection mechanisms

Abstract

Distributed applications, based on internetworked services, provide users with more flexible and varied services and developers with the ability to incorporate a vast array of services into their applications. Such applications are difficult to develop and manage due to their inherent dynamics and heterogeneity. One desirable characteristic of distributed applications is self-healing, or the ability to reconfigure themselves "on the fly" to circumvent failure. In this paper, we discuss our middleware for developing self-healing distributed applications. We present the model we adopted for self-healing behaviour and show as case study the reconfiguration of an application that uses networked sorting services and an application for networked home appliances. We discuss the performance benefits of self-healing property by analysing the elapsed time for automatic reconfiguration without user intervention. Our results show that a distributed application developed with our self-healing middleware will be able to perform smoothly by quickly reconfiguring its services upon detection of failure. We also consider the performance impact of a number of fault-detection mechanisms, including pre-emptive detection and on-use detection.

Biometric Incorporation in Pervasive and Autonomous Systems Emphasising the use within e-Health Specific Smart Homes

“…However due to the self-awareness aspect of autonomous system, the system itself is able to detect an error and then act accordingly [11]. According to reference [14] self healing systems reconfigure themselves to heal after a fault has been detected, and as a result the next stage of this process the system should be able to change its behaviour and possibly the basic equilibrium of the system in response to a fault. If a biometric node is damaged for some reason, then the system should be able to stop people using the node and direct them to another, this would be the behaviour change [11].…”

“…For example: if the system is held within a larger automated structure then there may be some robotic ability to change hardware and fix problems. However if there is no such external structure then the fault would have to be fixed by a human administrator [14]. When dealing with large systems of any kind, tracking down and solving problems and failures is a paramount issue, and within an autonomous system it must have the ability to do so.…”

“…When dealing with large systems of any kind, tracking down and solving problems and failures is a paramount issue, and within an autonomous system it must have the ability to do so. The system must be able to detect the issues and then solve them as reference [10] and [13] state; in addition the system should be able to checking on users' needs, resources issues and other aspect related to self optimisation as demonstrated by [15] [14].…”

Contributions to topology discovery, self-healing and VNF placement in software-defined and virtualized networks

“…In this work, the term "self-healing SDN environment" is used to refer to a system that proactively monitors its service parameters and network elements in different segments in order to recover from errors after a failure has been detected [62]. In essence, it allows reaction to network component (i.e.…”