[go: up one dir, main page]

Pianini et al., 2017 - Google Patents

Practical aggregate programming with PROTELIS

Pianini et al., 2017

Document ID
18229747009712968911
Author
Pianini D
Beal J
Viroli M
Publication year
Publication venue
2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS* W)

External Links

Snippet

Collective adaptive systems are an emerging class of networked and situated computational systems with a wide range of applications, such as in the Internet of Things, wireless sensor networks, and smart cities. Engineering such systems poses a number of challenges, and in …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5086Mechanical design, e.g. parametric or variational design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/44Arrangements for executing specific programmes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3668Software testing

Similar Documents

Publication Publication Date Title
Cheng et al. Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Bashir et al. Towards an IoT big data analytics framework: smart buildings systems
Broms et al. Dynamic occupancy models for explicit colonization processes
Kim et al. DEVSim++ toolset for defense modeling and simulation and interoperation
Patel et al. Simulators, emulators, and test-beds for internet of things: A comparison
Pianini et al. Practical aggregate programming with PROTELIS
Peterson et al. Global patterns of connectivity and isolation of populations of forest bird species in the late P leistocene
Gahegan Our GIS is too small
Khan et al. Recent open source wireless sensor network supporting simulators: A performance comparison
Berry et al. The design and implementation of a notional machine for teaching introductory programming
Smera et al. Networks simulation: Research based implementation using tools and approaches
Mekni et al. A survey on sensor webs simulation tools
Salem et al. Mobile ad-hoc network simulators, a survey and comparisons
Drost et al. High-performance distributed multi-model/multi-kernel simulations: A case-study in jungle computing
Dhviya et al. Analysis of simulation tools for underwater wireless sensor networks
Maier et al. Reliable scalable symbolic computation: The design of SymGridPar2
Zheng et al. Simulating large scale parallel applications using statistical models for sequential execution blocks
Zhuang et al. Taking a walk on the wild side: teaching cloud computing on distributed research testbeds
Wenzel et al. EDIM: Earthquake disaster information system for the Marmara region, Turkey
Godoy et al. WebShawn, simulating wireless sensors networks from the web
Bezgodov et al. The framework for rapid graphics application development: the multi-scale problem visualization
Lounis et al. A 3D environment for IoT simulation under the CupCarbon platform
Babichev et al. Designing execution models of distributed system in theoretical courses on information technology
Jamont et al. A framework to simulate and support the design of distributed automation and decentralized control systems: Application to control of indoor building comfort
Chand et al. Exploration of new simulation tools for wireless sensor networks