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A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework

122
Citations
July 25, 2024
Published Date

Research Abstract & Technology Focus

SummaryCloud 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, discovering the appropriate available atomic services to construct the needed composite service with their collaboration in an orchestration model is an NP‐hard issue. This article suggests a service composition method using Grey Wolf Optimization (GWO) and MapReduce framework to compose services with optimized QoS. The simulation outcomes illustrate cost, availability, response time, and energy‐saving improvements through the suggested approach. Comparing the suggested technique to three baseline algorithms, the average gain is a 40% improvement in energy savings, a 14% decrease in response time, an 11% increase in availability, and a 24% drop in cost.
service composition method cloud internet things
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What is the core focus of the research titled 'A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework'?

This literature focuses on: SummaryCloud 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 developer...

Are there open-source GitHub repositories related to A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework?

Yes, open-source projects like googleworkspace/cli (Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discove...) are actively building upon these concepts.

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Products like Nitro by Rocketlane are bringing this to market. Their focus is: AI agents for modern service delivery.

What other academic literature is closely related to 'A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework'?

Yes, highly correlated activity was mapped. An entry titled 'A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework' discusses this: SummaryCloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, in...

Are there commercial applications of 'A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Data Warehousing' discusses this: The data warehousing market emphasizes cloud-native solutions, with Amazon Redshift and AWS IAM Identity Center enabling scalable, fine-grained per...

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