Towards autonomic computing systems

Tianfield, Huaglory; Unland, Rainer

doi:10.1016/j.engappai.2004.08.029

Cited by 28 publications

(14 citation statements)

References 22 publications

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“…As such, an autonomic system must be self-contained and able to start-up and operate without any manual intervention or external help. Again, the knowledge required to bootstrap the system (Know-how) must be inherent to the system (Tianfield, &Unland, 2004).Adaptive: An autonomic system must be able to change its operation (i.e., its configuration, state and functions). This will allow the system to cope with temporal and spatial changes in its operational context either long term (environment customization/optimization) or short term (exceptional conditions such as malicious attacks, faults, etc.)…”

Section: Characteristics Of Autonomic Systemsmentioning

confidence: 99%

Automatic Recovery of Database Structure (ARDS)

Alzaghoul¹,

Fakhouri²,

Alzaghoul³

2018

MAS

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One of the evolutions of information technology which is a very fascinating feature is the application of the auto recovery. This feature enables an external system to automatically diagnose other systems, detects the error that causes the failure, then recovers and reconfigures the system. The concept of software and web auto recovery is widely used in much software such as windows operating system which restores and recovers tools.  Since the aim is to fast recover the application and keep it running and available as optimal as possible then it will be suitable to apply this capability to the database applications to fast recover from any unexpected change that may happen. This paper proposes an auto-recovery system that monitors, diagnoses, checks and heals database applications automatically and immediately with unnoticeable recovery time. The aim is to recover and to redo the changes that happened to the database by internal unauthorized user or external intrusion. To test the practical applicability of the proposed methodology, an application has been developed to demonstrate the methodology and apply it for real time database applications. The results of experiments performed on different scenarios demonstrated the ability of the proposed framework to recover database applications.

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Section: Characteristics Of Autonomic Systemsmentioning

confidence: 99%

Automatic Recovery of Database Structure (ARDS)

Alzaghoul¹,

Fakhouri²,

Alzaghoul³

2018

MAS

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“…Autonomic computing, which is motivated by the human nervous systems, is an approach to self-aware computing systems that will require minimum human interference. This means that an autonomic computing system is able to reconfigure and manage itself in cases of unpredictable and unexpected situations or events [21]. Interfaces should support various types of interactions among humans and between humans and machines.…”

Section: Human Centeredness Modulesmentioning

confidence: 99%

Multi-Disciplinary Integrated Framework and Architecture for a Human Centered Collaborative Commerce System

Smari

Kim

McQuay

2006

2006 IEEE International Conference on Information Reuse &Amp; Integration

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In recent years, collaborative commerce (or c-Commerce) and human-centric systems have been research subjects of keen interest in Web-based technologies and have become a major focus for many organizations. C-Commerce provides and supports dynamic collaborative environments over the Internet and other potential public information networks (PINs). It offers many levels of collaborative interactions and enables organizations and individuals to work simultaneously, cooperatively, as well as independently. Of late, it has become increasingly important to integrate human-centered designs in collaborativesystems to achieve user-oriented environments.This paper presents Human-centered c-Commerce System (HCCS), an architectural framework for collaborative commerce with integration of some human aspects. We discuss its framework and describe each component of the proposed architecture. We contend that using an intelligent c-Commerce system, such as HCCS, will enhance collaboration between individual users and among organizations, and will provide effective infrastructure to achieve the intended objectives of collaborative work.

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“…System stability is achieved through negative feedback in most cases: Some fault state is detected in the system and is relayed to the meta-system, which determines the actions to take to adapt the system so that it returns to its stable state. These control loop adaptations can be classified into three categories [5]: Passive adaptation, parametric adaptation and mission oriented adaptation: • Passive Adaptation arises simply from the addition of a control loop. Simple rules will determine the operation of the loop.…”

Section: Autonomic Systemsmentioning

confidence: 99%

Engineering Autonomic Systems Self-Organisation

Randles

Lamb

Taleb-Bendiab

2008

Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems (Ease 2008)

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For future generations of autonomic systems it is becoming increasingly evident that pre-programmed models of behaviour and communication will be inadequate. The environment, in which the systems and their autonomic components are situated, is most likely to be the real world and so open-ended. It is not possible to foresee all system eventualities or actions, that may be needed to be performed, nor the methods by which novel observations may be detected or communicated. Additionally these systems are going to have to adapt to human requirements and so develop shared conventions of communication between themselves and human users in order to cope with novel meanings and requests from unknown sources. This paper proposes the use of cognitive systems reasoning over models of self-organising emergent behaviour as one method to address this problem. The actions of individual participants in the system form Markov Chains, which allows the autonomic observer systems to gain, or be endowed with, a grounded definition of some emergent behaviour. Furthermore the parameters of the associated Markov Decision Problem can be adjusted to the required outcome. It is further proposed that mathematical logic is the most natural specification medium for these cognitive systems. Thus a dialect of First Order Logic, Situation Calculus, is described with facilities to handle sensing and knowledge and stochastic actions. This is then shown as a specification for a known observed, naturally occurring emergent phenomenon that can be solved as a Markov Decision Problem.

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Towards autonomic computing systems

Cited by 28 publications

References 22 publications

Automatic Recovery of Database Structure (ARDS)

Automatic Recovery of Database Structure (ARDS)

Multi-Disciplinary Integrated Framework and Architecture for a Human Centered Collaborative Commerce System

Engineering Autonomic Systems Self-Organisation

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