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Informative Article | Data & Knowledge Engineering | India | Volume 11 Issue 10, October 2022 | Popularity: 5.5 / 10

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COVID-19's Datacenter Challenge: Assessing the Impact of Remote Work Across Industries and Charting a Path to the New Normal

Raja Venkata, Sandeep Reddy Davu

Abstract: The COVID-19 epidemic changed global work norms by making remote employment norms in many firms. Data Centers had to quickly adapt to the spike in data processing, storage, and security demands throughout this change. Specialised approaches were needed to solve retail, healthcare, education, and financial concerns. To meet remote access and storage needs, data centers are using cloud computing, virtualization, and scalable design. Multi-factor authentication and better encryption were needed to mitigate the growing security risks. Due to financial sector attempts to protect client data, online transactions skyrocketed. Telehealth services' meteoric expansion in the healthcare market necessitated solid data management and health data laws. Schools switching to online learning platforms needed more bandwidth and connectivity assistance. Data Centers were in demand as retailers tried to facilitate internet purchasing. These issues needed inventive solutions and methods. Cloud computing and virtualization made infrastructure more scalable and adaptable, and AI-powered analytics and automated management systems enhanced efficiency and demand prediction. Constant monitoring and zero-trust security strengthened defences. After the pandemic, hybrid work styles have become common. Data Centers must provide security and performance during remote and in-office transitions. This research stresses the role of datacenters in enabling digital services and remote work during the pandemic and the need for continuous data center technology innovation and investment to support future digital transformations.

Keywords: COVID-19, Data Centers, Remote Work, Cloud Computing, Virtualization

Edition: Volume 11 Issue 10, October 2022

Pages: 1404 - 1408

DOI: https://www.doi.org/10.21275/SR24724162942

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