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Article
CloudAIBus: a testbed for AI based cloud computing environments
Smart resource allocation is essential for optimising cloud computing efficiency and utilisation, but it is also very challenging as traditional approaches often overprovision CPU resources, leading to financi...
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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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Article
BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications
With the development of new sensor technologies, Internet of Things (IoT)-based healthcare applications have gained momentum in recent years. However, IoT devices have limited resources, making them incapable ...
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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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Chapter
GPU Based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions
Every year in the United States, the 4th Thursday of November is commemorated as Thanksgiving Day. The next day which is a Friday is known as Black Friday. This day is the busiest day in terms of shop** beca...
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Book
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Chapter
Leveraging Cloud-Native Microservices Architecture for High Performance Real-Time Intra-Day Trading: A Tutorial
Day trading has been gaining attention from prospective investors over the past decades, even more so in the last decade due to a plethora of factors such as instantaneous availability and accessibility to inf...
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Chapter
Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges
The prolonged 5G network deployment includes the Internet of Things (IoT) as a technological advancement toward the expansion of wireless communication. The Internet of Everything (IoE), a superset of IoT, act...
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Book
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Chapter and Conference Paper
Design and Implementation of Secure Location Service Using Software Engineering Approach in the Age of Industry 4.0
Data privacy and security are major concerns in any location-based system. In majority of location-based systems, data security is ensured via data replacement policies. Data replacement or hiding policy requi...
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Chapter and Conference Paper
ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster
The trend towards transitioning from monolithic applications to microservices has been widely embraced in modern distributed systems and applications. This shift has resulted in the creation of lightweight, fi...
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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
Green Internet of Things Using Mobile Cloud Computing: Architecture, Applications, and Future Directions
Mobile cloud computing (MCC) has emerged as a significant area of interest due to its ability of facilitating high computing power and massive storage capacity to the mobile users based on the cost-effective s...
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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 Strategy for Advancing Research and Impact in New Computing Paradigms
In the domain of information technology, new paradigms, technologies, development approaches, and application scenarios continue to emerge rapidly presenting new opportunities for researchers to pursue. Emergi...
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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
The evolution of distributed computing systems: from fundamental to new frontiers
Distributed systems have been an active field of research for over 60 years, and has played a crucial role in computer science, enabling the invention of the Internet that underpins all facets of modern life. ...
