[go: up one dir, main page]

Mutanu et al., 2019 - Google Patents

State of runtime adaptation in service‐oriented systems: what, where, when, how and right

Mutanu et al., 2019

View PDF @Full View
Document ID
16393400646700562052
Author
Mutanu L
Kotonya G
Publication year
Publication venue
IET software

External Links

Snippet

Software as a Service reflects a 'service‐oriented'approach to software development that is based on the notion of composing applications by discovering and invoking network‐ available services to accomplish some task. However, as more business organisations …
Continue reading at ietresearch.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/60—Software deployment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity

Similar Documents

Publication Publication Date Title
Vankayalapati et al. AI-Powered Self-Healing Cloud Infrastructures: A Paradigm For Autonomous Fault Recovery
Whittle et al. RELAX: a language to address uncertainty in self-adaptive systems requirement
US11126493B2 (en) Methods and systems for autonomous cloud application operations
Weyns et al. ActivFORMS: A formally founded model-based approach to engineer self-adaptive systems
Weyns et al. Model-based simulation at runtime for self-adaptive systems
Immonen et al. A survey of methods and approaches for reliable dynamic service compositions
Parri et al. A framework for model-driven engineering of resilient software-controlled systems
Abuseta et al. Design patterns for self adaptive systems engineering
Weyns et al. Deep learning for effective and efficient reduction of large adaptation spaces in self-adaptive systems
Sabharwal et al. Hands-on AIOps
Mutanu et al. State of runtime adaptation in service‐oriented systems: what, where, when, how and right
Gatouillat et al. Qos-driven self-adaptation for critical iot-based systems
Ahmed et al. Cyber‐physical system model based on multi‐agent system
Schmerl et al. Managing trade-offs in adaptable software architectures
Mu et al. Runtime verification of self-adaptive multi-agent system using probabilistic timed automata
Salazar et al. Industrial artificial intelligence: a predictive agent concept for industry 4.0
Esfahani Management of uncertainty in self-adaptive software
Tripathi et al. An efficient metrics based self‐adaptive design model by multiobjective gray wolf optimization with extreme learning machine for autonomic computing system application
Koh-Dzul et al. A smart diagnostic model for an autonomic service bus based on a probabilistic reasoning approach
Monti et al. Orchestration of services in Smart Manufacturing through automated synthesis
Mutanu et al. A self-learning approach for validation of runtime adaptation in service-oriented systems
Frömel et al. Interfaces in evolving cyber-physical systems-of-systems
Abuseta et al. Towards a framework for testing and simulating self adaptive systems
Carré et al. Challenges for the self-safety in autonomous vehicles
Mutanu et al. What, where, when, How and right of runtime adaptation in service-oriented systems