10 Result(s)
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Article
Sukhpal Singh Gill
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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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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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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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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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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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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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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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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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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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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. ...
