Murgia et al., 2023 - Google Patents
Comparing perfomance abstractions for collective adaptive systemsMurgia et al., 2023
View PDF- Document ID
- 9216017482796606482
- Author
- Murgia M
- Pinciroli R
- Trubiani C
- Tuosto E
- Publication year
- Publication venue
- International Journal on Software Tools for Technology Transfer
External Links
Snippet
Non-functional properties of collective adaptive systems (CAS) are of paramount relevance practically in any application. This paper compares two recently proposed approaches to quantitative modelling that exploit different system abstractions: the first is based on …
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
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- 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
- G06F9/54—Interprogramme communication; Intertask communication
-
- 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
- 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
-
- 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
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ghobaei‐Arani et al. | A moth‐flame optimization algorithm for web service composition in cloud computing: simulation and verification | |
Weyns et al. | ActivFORMS: A formally founded model-based approach to engineer self-adaptive systems | |
Muccini et al. | Self-adaptive IoT architectures: An emergency handling case study | |
Budde et al. | A statistical model checker for nondeterminism and rare events | |
EP3729209B1 (en) | Combined learned and dynamic control method | |
Zhu | SLABS: A formal specification language for agent-based systems | |
Khakpour et al. | Formal modeling of evolving self-adaptive systems | |
US11088921B2 (en) | Systems and method for providing an ontogenesis emergence and confidence engine | |
Cámara et al. | The uncertainty interaction problem in self-adaptive systems | |
Bendriss et al. | AI for SLA management in programmable networks | |
Fua et al. | COBOS: Cooperative backoff adaptive scheme for multirobot task allocation | |
Sacco et al. | An architecture for adaptive task planning in support of IoT-based machine learning applications for disaster scenarios | |
Murgia et al. | Comparing perfomance abstractions for collective adaptive systems | |
Leon-Garcia et al. | Data communication optimization for the evaluation of multivariate conditions in distributed scenarios | |
US20220345419A1 (en) | Human supervision and guidance for autonomously configured shared resources | |
Wang et al. | DFRDRL: a dynamic fuzzy routing algorithm based on deep reinforcement learning with guaranteed latency and bandwidth for software-defined networks | |
Murgia et al. | On model-based performance analysis of collective adaptive systems | |
Bowman | Process assessment and process management for intelligent data fusion & resource management systems | |
US7574497B2 (en) | System and method for an open autonomy kernel (oak) | |
Kochikar et al. | On using abstract models for analysis of flexible manufacturing systems | |
Koh-Dzul et al. | A smart diagnostic model for an autonomic service bus based on a probabilistic reasoning approach | |
Cioroaica et al. | A paradigm for safe adaptation of collaborating robots | |
Andrzejak et al. | On adaptability in grid systems | |
Kasinger et al. | Towards a Model-Driven Software Engineering Methodology for Organic Computing Systems. | |
Shafieirad | On Meeting a Maximum Delay Constraint Using Reinforcement Learning in Wireless Networks |