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Article
Recommender System for Optimal Distributed Deep Learning in Cloud Datacenters
With the modern advancements in Deep Learning architectures, and abundant research consistently being put forward in areas such as computer vision, natural language processing and forecasting. Models are becom...
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Article
A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing
With the emergence of COVID-19, smart healthcare, the Internet of Medical Things, and big data-driven medical applications have become even more important. The biomedical data produced is highly confidential a...
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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
A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions
The advancements in the use of Internet of Things (IoT) devices is increasing continuously and generating huge amounts of data in a fast manner. Cloud computing is an important paradigm which processes and man...
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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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Article
BULLET: Particle Swarm Optimization Based Scheduling Technique for Provisioned Cloud Resources
Cloud resource scheduling requires map** of cloud resources to cloud workloads. Scheduling results can be optimized by considering Quality of Service (QoS) parameters as inherent requirements of scheduling. ...