A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework
Islamic Azad University of Tabriz · Pôle Léonard de Vinci · +5 more institutions
Abstract
Summary Cloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, infrastructure, and labor expenses. Also, Internet of Things (IoT) apps are designed to ease developers' and users' access to networks of smart services, devices, and data. Although cloud services give nearly infinite resources, their reach is constrained. Designing coherent and organized apps is made possible by integrating the cloud and IoT. Expanding facilities by combining services is a critical component of this technology. Various services may be presented in this environment based on the user's demands. Considering their Quality of Service (QoS) attributes,…
Citation impact
- FWCI
- 39.34
- Percentile
- 100%
- References
- 62
Authors
6- AVAsrin Vakili
Islamic Azad University of Tabriz
- HMHamza Mohammed Ridha Al‐Khafaji
- MDMehdi Darbandi
Pôle Léonard de Vinci
- AHArash HeidariCorresponding
Islamic Azad University of Tabriz, Atlas Üniversitesi, Istanbul Arel University
- NJNima Jafari NavimipourCorresponding
Kadir Has University, National Yunlin University of Science and Technology
Topics & keywords
- Cloud computing
- Service composition
- Computer science
- Internet of Things
- Service (business)
- Composition (language)
- The Internet
- Distributed computing