6G Enabled Fog Computing in IoT
Applications and Opportunities
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16 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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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
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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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
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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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
Tails in the cloud: a survey and taxonomy of straggler management within large-scale cloud data centres
Cloud computing systems are splitting compute- and data-intensive jobs into smaller tasks to execute them in a parallel manner using clusters to improve execution time. However, such systems at increasing scal...
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Article
Resource Provisioning Based Scheduling Framework for Execution of Heterogeneous and Clustered Workloads in Clouds: from Fundamental to Autonomic Offering
Provisioning of adequate resources to cloud workloads depends on the Quality of Service (QoS) requirements of these cloud workloads. Based on workload requirements (QoS) of cloud users, discovery and allocatio...
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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. ...
