An instrumentation and control-based approach for distributed application management and adaptation

Reilly, Denis; Taleb-Bendiab, A.; Laws, Andy; Badr, Nagwa L.

doi:10.1145/582128.582140

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…This entails that systems have the ability to dynamically insert and remove code at runtime. Hot swapping [8,9] is proposed as a means to enable autonomic software systems to interpose and/or replace components (code) in response of either failure or software maintenance.…”

Section: Autonomic-based Managementmentioning

confidence: 99%

“…Autonomic systems must discharge the intended selfmanagement functionality in a safe, controllable and predictable manner avoiding any emerging, accidental errors or undesirable features [9][10][11][12]. This therefore requires that autonomic systems extend and integrate autonomic control models with policy-based service [9].…”

Section: Policy-based Autonomic Control Servicementioning

confidence: 99%

“…This therefore requires that autonomic systems extend and integrate autonomic control models with policy-based service [9]. This formed the motivation for our work, which provides a self-governance mechanism based on a developed Extensible Believe, Desire and Intension (EBDI) model for deliberative systems.…”

Section: Policy-based Autonomic Control Servicementioning

confidence: 99%

“…Recently, there has been a considerable interest in both policy-based management, goal-based service management and autonomic distributed systems management [1][2][3][4][5][6][7][8][9]. Policies are often encoded as rules to specify for instance systems security, management properties, allowable states and/or obligations.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Policy-based autonomic control service

Badr

Taleb-Bendiab

Reilly

2004

Proceedings. Fifth IEEE International Workshop on Policies for Distributed Systems and Networks, 2004. POLICY 2004.

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Section: Autonomic-based Managementmentioning

confidence: 99%

Section: Policy-based Autonomic Control Servicementioning

confidence: 99%

Section: Policy-based Autonomic Control Servicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Policy-based autonomic control service

Badr

Taleb-Bendiab

Reilly

2004

Proceedings. Fifth IEEE International Workshop on Policies for Distributed Systems and Networks, 2004. POLICY 2004.

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“…Previous works on software control have been investigated in e.g. [5], [6], [7], [8], [9], [10], [11]. The authors of [5] introduce an approach for controlling software systems.…”

Section: Introductionmentioning

confidence: 99%

Software Maintenance through Supervisory Control

Gaudin

Bagnato

2011

2011 IEEE 34th Software Engineering Workshop

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Abstract-This work considers the case of system maintenance where systems are already deployed and for which some faults or security issues were not detected during the testing phase. We propose an approach based on control theory that allows for automatic generation of maintenance fixes. This approach disables faulty or vulnerable system functionalities and requires to instrument the system before deployment so that it can later be monitored and interact with a supervisor at runtime. This supervisor ensures some property designed after deployment in order to avoid future executions of faulty or vulnerable system functionalities. This property corresponds to a set of safe behaviors described as a Finite State Machine. The computation of supervisors can be performed automatically, relying on a sound Supervisory Control Theory. We first introduce some basic notions of Supervisory Control theory, then we present and illustrate our approach which also relies on automatic models extraction and instrumentation.

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

Pereira

Taleb-Bendiab

2006

Journal of Computer and System Sciences

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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.

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An instrumentation and control-based approach for distributed application management and adaptation

Cited by 15 publications

References 9 publications

Policy-based autonomic control service

Policy-based autonomic control service

Software Maintenance through Supervisory Control

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

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