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A cloud service composition method using a trust‐based clustering algorithm and honeybee mating optimization algorithm

https://doi.org/10.1002/dac.4259
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.3015openalex-snapshot
Trust‐oriented QoS‐aware composite service selection based on genetic algorithms
inferredcites →https://doi.org/10.1002/dac.3501openalex-snapshot
Clustering‐based resource discovery on Internet‐of‐Things
inferredcites →https://doi.org/10.1007/978-3-642-10445-9_7openalex-snapshot
QoS-Aware Service Composition in Dynamic Service Oriented Environments
inferredcites →https://doi.org/10.1007/s00170-018-03215-7openalex-snapshot
A dynamic ant-colony genetic algorithm for cloud service composition optimization
inferredcites →https://doi.org/10.1007/s00357-018-9270-1openalex-snapshot
A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification
inferredcites →https://doi.org/10.1007/s00500-017-2547-1openalex-snapshot
A self-adaptive artificial bee colony algorithm based on global best for global optimization
inferredcites →https://doi.org/10.1007/s10479-013-1380-xopenalex-snapshot
A trust model of cloud computing based on Quality of Service
inferredcites →https://doi.org/10.1007/s10489-014-0617-yopenalex-snapshot
Discrete gbest-guided artificial bee colony algorithm for cloud service composition
inferredcites →https://doi.org/10.1007/s10845-016-1215-0openalex-snapshot
A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
inferredcites →https://doi.org/10.1007/s10898-007-9149-xopenalex-snapshot
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1007/s11269-005-9001-3openalex-snapshot
Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization
inferredcites →https://doi.org/10.1007/s11269-016-1553-xopenalex-snapshot
The Enhanced Honey-Bee Mating Optimization Algorithm for Water Resources Optimization
inferredcites →https://doi.org/10.1007/s12652-016-0445-5openalex-snapshot
Knowledge based differential evolution for cloud computing service composition
inferredcites →https://doi.org/10.1007/s12652-018-0773-8openalex-snapshot
A new agent-based method for QoS-aware cloud service composition using particle swarm optimization algorithm
inferredcites →https://doi.org/10.1007/s40815-016-0149-1openalex-snapshot
Fuzzy Rule-Based Expert System for Determining Trustworthiness of Cloud Service Providers
inferredcites →https://doi.org/10.1016/j.amc.2006.05.166openalex-snapshot
K-harmonic means data clustering with simulated annealing heuristic
inferredcites →https://doi.org/10.1016/j.amc.2007.02.029openalex-snapshot
Application of honey-bee mating optimization algorithm on clustering
inferredcites →https://doi.org/10.1016/j.asoc.2012.03.040openalex-snapshot
An improved discrete immune optimization algorithm based on PSO for QoS-driven web service composition
inferredcites →https://doi.org/10.1016/j.chb.2016.02.029openalex-snapshot
A new method for trust and reputation evaluation in the cloud environments using the recommendations of opinion leaders' entities and removing the effect of troll entities
inferredcites →https://doi.org/10.1016/j.cie.2015.12.018openalex-snapshot
A flexible QoS-aware Web service composition method by multi-objective optimization in cloud manufacturing
inferredcites →https://doi.org/10.1016/j.compeleceng.2014.11.002openalex-snapshot
A combinatorial optimization algorithm for multiple cloud service composition
inferredcites →https://doi.org/10.1016/j.cor.2014.07.011openalex-snapshot
An effective hybrid honey bee mating optimization algorithm for balancing mixed-model two-sided assembly lines
inferredcites →https://doi.org/10.1016/j.cor.2019.05.022openalex-snapshot
Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments
inferredcites →https://doi.org/10.1016/j.eswa.2013.12.017openalex-snapshot
Cloud computing service composition: A systematic literature review
inferredcites →https://doi.org/10.1016/j.future.2008.12.001openalex-snapshot
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
inferredcites →https://doi.org/10.1016/j.future.2016.01.009openalex-snapshot
Towards a trust evaluation middleware for cloud service selection
inferredcites →https://doi.org/10.1016/j.future.2018.07.062openalex-snapshot
QoS-aware cloud service composition using eagle strategy
inferredcites →https://doi.org/10.1016/j.future.2018.11.022openalex-snapshot
Optimal Fitness Aware Cloud Service Composition using an Adaptive Genotypes Evolution based Genetic Algorithm
inferredcites →https://doi.org/10.1016/j.giq.2010.05.010openalex-snapshot
Securing e-Government and e-Voting with an open cloud computing architecture
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2019.05.017openalex-snapshot
Healthcare big data processing mechanisms: The role of cloud computing
inferredcites →https://doi.org/10.1016/j.ins.2014.04.054openalex-snapshot
Web services composition: A decade’s overview
inferredcites →https://doi.org/10.1016/j.ins.2018.05.009openalex-snapshot
An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing
inferredcites →https://doi.org/10.1016/j.ins.2018.08.042openalex-snapshot
Type theory based semantic verification for service composition in cloud computing environments
inferredcites →https://doi.org/10.1016/j.jnca.2017.01.005openalex-snapshot
Comprehensive and systematic review of the service composition mechanisms in the cloud environments
inferredcites →https://doi.org/10.1016/j.parco.2018.04.001openalex-snapshot
Searching for common patterns on protein sequences by means of a parallel hybrid honey-bee mating optimization algorithm
inferredcites →https://doi.org/10.1016/j.swevo.2018.08.004openalex-snapshot
An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem
inferredcites →https://doi.org/10.1108/k-02-2017-0070openalex-snapshot
A method for trust evaluation in the cloud environments using a behavior graph and services grouping
inferredcites →https://doi.org/10.1108/k-07-2015-0171openalex-snapshot
Trust evaluation between users of social networks using the quality of service requirements and call log histories
inferredcites →https://doi.org/10.1109/basna.2010.5730308openalex-snapshot
Trust-based Dynamic Web service Composition using Social Network Analysis
inferredcites →https://doi.org/10.1109/cloudcom.2010.10openalex-snapshot
Self-Organizing Agents for Service Composition in Cloud Computing
inferredcites →https://doi.org/10.1109/icccn.2007.4317873openalex-snapshot
QoS-based Discovery and Ranking of Web Services
inferredcites →https://doi.org/10.1109/icsmc.2007.4413652openalex-snapshot
Relevancy Ranking of Web Services
inferredcites →https://doi.org/10.1109/tii.2008.2009533openalex-snapshot
Resource Service Composition and Its Optimal-Selection Based on Particle Swarm Optimization in Manufacturing Grid System
inferredcites →https://doi.org/10.1109/tit.1982.1056488openalex-snapshot
The complexity of the generalized Lloyd - Max problem (Corresp.)
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1111/coin.12159openalex-snapshot
A dynamic fuzzy‐based dance mechanism for the bee colony optimization algorithm
inferredcites →https://doi.org/10.1145/1367497.1367605openalex-snapshot
Investigating web services on the world wide web
inferredcites →https://doi.org/10.1145/1721654.1721672openalex-snapshot
A view of cloud computing
inferredcites →https://doi.org/10.1504/ijguc.2017.085915openalex-snapshot
Combining reputation and QoS measures to improve cloud service composition
inferredcites →https://doi.org/10.1504/ijwgs.2014.058763openalex-snapshot
Efficient QoS management for QoS-aware web service composition
inferredcites →https://doi.org/10.5121/ijwest.2014.5101openalex-snapshot
An Optimized Semantic Web Service Composition Method Based on Clustering and Ant Colony Algorithm

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