Hemant Kumar Apat

PaMTS: A priority-aware multi-objective task scheduling framework for fog computing environment

Hemant Kumar Apat, Bibhudatta Sahoo, Veena Goswami

An Adaptive Queueing Model for Optimizing IoT Application Performance in Fog-Cloud Computing Environment

Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, G.B. Mund et autres

Abstract Fog computing has emerged as a promising computing infrastructure, bridging the gap between centralized cloud services and the data generation layer. The resource constrained nature of fog computing layer necessitates an effective and efficient resource management strategies to maximize the resource …

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DqBF: An Intelligent Fog Computing Model for Iot Using Blockchain and Deep Q-Learning

Hemant Kumar Apat, Prof. Bibhudatta Sahoo

Efficient resource management is a critical challenge in fog computing due to dynamic workload fluctuations and limited computational capacity. This paper presents a blockchainbased resource scaling algorithm that enables real-time adaptation of fog nodes by monitoring CPU, memory, and bandwidth utilization. When …

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JaGW: A hybrid meta-heuristic algorithm for IoT workflow placement in fog computing environment

Hemant Kumar Apat, Bibhudatta Sahoo

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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques

Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik et autres

The rapid development of Internet of Things (IoT) devices in various smart city-based applications such as healthcare, traffic management systems, environment sensing systems, and public safety systems produce large volumes of data. To process these data, it requires substantial computing and storage …

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LESP:A fault-aware internet of things service placement in fog computing

Hemant Kumar Apat, Bibhudatta Sahoo

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A Blockchain assisted fog computing for secure distributed storage system for IoT Applications

Hemant Kumar Apat, Bibhudatta Sahoo

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A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Hemant Kumar Apat, Bibhudatta Sahoo, Veena Goswami, Rabindra K. Barik

The fog computing paradigm is promising for deploying various delay-sensitive Internet of Things (IoT) applications. The resource-constrained fog devices restrict the number of application deployments due to a lack of efficient resource estimation and discovery mechanisms for various emergent heterogeneous IoT applications. …

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Leveraging towards Multi-objective IoT Application Placement in Fog Computing Environment

Hemant Kumar Apat, Pranati Sattarapu, Rudra Narayan Dash, Veena Goswami et autres

Internet of Things (IoT) is one of the most talked-about innovations of recent years because it paves the way for novel interactions between devices and people that can improve daily life. Interconnected devices are generating an unprecedented amount of data due to …

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An interconnected IoT-inspired network architecture for data visualization in remote sensing domain

Sunil Kumar Panigrahi, Veena Goswami, Hemant Kumar Apat, Rabindra K. Barik et autres

Geospatial Data Analytics (GDA) is a futuristic platform for analyzing and processing volumetric data in remote sensing and GIS applications. GDA utilizes the Internet of Spatial Things (IoST), mist, fog, and cloud computing architecture as a backend tool for analyzing and processing …

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PQ-Mist: Priority Queueing-Assisted Mist–Cloud–Fog System for Geospatial Web Services

Sunil Kumar Panigrahi, Veena Goswami, Hemant Kumar Apat, G. B. Mund et autres

The IoT and cloud environment renders enormous quantities of geospatial information. Fog and mist computing is the scaling technology that handles geospatial data and sends it to the cloud storage system through fog/mist nodes. Installing a mist–cloud–fog system reduces latency and throughput. …

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Leveraging Towards Serverless Edge Computing Model for Intelligent IoMT Applications

Hemant Kumar Apat, Ahmed Alkhayyat, Ankit Vidyarthi, Rabindra K. Barik

Internet of Medical Things(IoMT) devices connect billions of sensors consisting of a large volume of computation-intensive and time-sensitive tasks in the health sector. These tasks need to be processed or executed by different computational devices used in the network infrastructure for getting …

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