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7 Result(s)
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Chapter
Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions
The fog computing paradigm has generated increasing research interest because it focuses on transferring the computational process to the edge of the network near the end-user. Fog nodes, the majority of physi...
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Chapter
Serverless Computing: New Trends and Research Directions
Serverless computing is an innovative method for the production and distribution of software since it does not rely on a centralised server management infrastructure. As a result of this, serverless computing ...
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Chapter
QoS Analysis for Serverless Computing Using Machine Learning
Large-scale computing systems are becoming more popular as the need for computing power increases every year. Serverless computing has emerged as a powerful and compelling paradigm for the hosting services and...
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Book
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Chapter
Machine Learning Models for Sentiment Analysis of Tweets: Comparisons and Evaluations
Presently, the use of Twitter is increasing, and occurrences of large number of tweets are one of the important sources of personal thoughts and opinions. In social media, sentiment analysis is a significant t...
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Chapter
DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments
The next generation Internet of Things (IoT) applications are offering multiple services and run in a distributed heterogeneous environment. In such applications, Quality of Service (QoS) requirements are in j...
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Chapter
Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat
Cloud computing utilizes thousands of Cloud Data Centres (CDC) and fulfils the demand of end-users dynamically using new technologies and paradigms such as Industry 4.0 and Internet of Things (IoT). With the e...
