6G Enabled Fog Computing in IoT
Applications and Opportunities
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14 Result(s)
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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
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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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
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
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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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. ...
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Article
RHAS: robust hybrid auto-scaling for web applications in cloud computing
The elasticity characteristic of cloud services attracts application providers to deploy applications in a cloud environment. The scalability feature of cloud computing gives the facility to application provid...
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Chapter
Mobile Edge Computing Based Internet of Agricultural Things: A Systematic Review and Future Directions
In the modern era of Information Technology, a combined solution framework integrating Wireless Sensor Network (WSN), Internet of Things (IoT), cloud and edge computing, data analytics, and other related techn...
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Article
CHOPPER: an intelligent QoS-aware autonomic resource management approach for cloud computing
Cloud computing is the future generation of computational services delivered over the Internet. As cloud infrastructure expands, resource management in such a large heterogeneous and distributed environment is...
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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. ...
