[go: up one dir, main page]

Kurdi et al., 2018 - Google Patents

Multicuckoo: Multi-cloud service composition using a cuckoo-inspired algorithm for the internet of things applications

Kurdi et al., 2018

View PDF
Document ID
8421309267858703338
Author
Kurdi H
Ezzat F
Altoaimy L
Ahmed S
Youcef-Toumi K
Publication year
Publication venue
IEEE Access

External Links

Snippet

Internet of things (IoT) applications aim to provide access to widespread interconnected networks of smart devices, services, and information. This can be achieved by integrating IoT and cloud computing (CC). By using cloud computing service composition (SC), multiple …
Continue reading at ieeexplore.ieee.org (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
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • 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
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • 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
    • H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/50—Network service management, i.e. ensuring proper service fulfillment according to an agreement or contract between two parties, e.g. between an IT-provider and a customer
    • H04L41/5041—Service implementation
    • 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
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network

Similar Documents

Publication Publication Date Title
Kurdi et al. Multicuckoo: Multi-cloud service composition using a cuckoo-inspired algorithm for the internet of things applications
Zhou et al. Hybrid teaching–learning-based optimization of correlation-aware service composition in cloud manufacturing
Asghari et al. Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments
Wang et al. A genetic-based approach to web service composition in geo-distributed cloud environment
Aryal et al. Dynamic application deployment in federations of clouds and edge resources using a multiobjective optimization AI algorithm
Tao et al. Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system
Malti et al. A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems
Salem et al. An artificial bee colony algorithm for data replication optimization in cloud environments
Ludwig Applying particle swarm optimization to quality-of-service-driven web service composition
Elsedimy et al. MOTS‐ACO: An improved ant colony optimiser for multi‐objective task scheduling optimisation problem in cloud data centres
Al Falasi et al. A framework for sla-based cloud services verification and composition
Razian et al. SAIoT: Scalable anomaly-aware services composition in CloudIoT environments
Niu et al. Towards the optimality of QoS-aware web service composition with uncertainty
Hu et al. A framework for trustworthy web service composition and optimization
Ji et al. Adaptive workflow scheduling for diverse objectives in cloud environments
Karlsson et al. A matheuristic approach to large-scale avionic scheduling
CN118093867A (en) A multi-platform spatial information resource collaborative sharing method
Liu et al. A new QoS-aware service discovery technique in the Internet of Things using whale optimization and genetic algorithms
Li et al. Mutation-driven and population grouping PRO algorithm for scheduling budget-constrained workflows in the cloud
Zhang et al. A Novel Ant Colony Optimization Algorithm for Large Scale QoS‐Based Service Selection Problem
Guo et al. Trust-based service composition and selection in service oriented architecture
Chyad et al. Cloud resources modelling using smart cloud management
Ghazouani et al. Bringing semantics to multicloud service compositions
Medjahed et al. On the composability of semantic web services
Talha et al. A chaos opposition‐based dwarf mongoose approach for workflow scheduling in cloud