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Innovative Paradigms in Advanced Cloud Computing: Exploring Edge Computing, Serverless Architectures, and Autonomous Resource Management for Enhanced Scalability and Efficiency
Subject area: Science,Engineering and Technology · Area of research: Cloud Computing
Abstract
Cloud computing is another rapidly advancing technology area that has expanded the possibilities for managing and growing infrastructure for contemporary organizations. Growing business requirements for reliable, elastic, and real-time solutions are responded to by edge computing, serverless solutions, and self-managed resources. Edge computing reduces data processing centralization by performing a part of the calculation near the data source and helps improve real-time decisions in the IoT setting. Serverless solutions allow a developer to build app solutions without worrying about the details of underlying infrastructure frameworks, and services can scale as needed while being cost-effective. On the other hand, autonomous resource management, enabled using AI and machine learning coordinator, greatly enhances resource management and the overall organizational self-organizing, self-optimization, and healing processes, thus strengthening the organization?s organizational Roi and scalability. This paper aims to discuss the combined approach of these paradigms, looking at their opportunities, constraints, and effects on future advancements in cloud computing. SAP products make new approaches to upgrade the scaleability and cost-effectiveness by implementing these superior technology-programmed applications for businesses to increase innovation in an increased data-oriented business environment.
Keywords
Serverless Architectures, Autonomous Resource Management, Cloud Scalability, Real-time Data Processing
How to cite this paper
@article{1703606,
author = {Manoj Bhoyar},
title = {Innovative Paradigms in Advanced Cloud Computing: Exploring Edge Computing, Serverless Architectures, and Autonomous Resource Management for Enhanced Scalability and Efficiency},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {6},
number = {1},
pages = {709-717},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703606.pdf},
abstract = {Cloud computing is another rapidly advancing technology area that has expanded the possibilities for managing and growing infrastructure for contemporary organizations. Growing business requirements for reliable, elastic, and real-time solutions are responded to by edge computing, serverless solutions, and self-managed resources. Edge computing reduces data processing centralization by performing a part of the calculation near the data source and helps improve real-time decisions in the IoT setting. Serverless solutions allow a developer to build app solutions without worrying about the details of underlying infrastructure frameworks, and services can scale as needed while being cost-effective. On the other hand, autonomous resource management, enabled using AI and machine learning coordinator, greatly enhances resource management and the overall organizational self-organizing, self-optimization, and healing processes, thus strengthening the organization?s organizational Roi and scalability. This paper aims to discuss the combined approach of these paradigms, looking at their opportunities, constraints, and effects on future advancements in cloud computing. SAP products make new approaches to upgrade the scaleability and cost-effectiveness by implementing these superior technology-programmed applications for businesses to increase innovation in an increased data-oriented business environment.},
keywords = {Serverless Architectures, Autonomous Resource Management, Cloud Scalability, Real-time Data Processing},
month = {July},
}