International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Engineering Science | India | Volume 8 Issue 6, June 2019 | Popularity: 4.8 / 10


     

Workload-Aware Hypervisor Optimization: A Comprehensive Guide to Performance Tuning with Case Studies

Raja Venkata Sandeep Reddy Davu


Abstract: Virtualization drives scalability and efficiency in financial services, making data security essential. The study highlights risk-based security architecture for sensitive financial data. Financial services virtualization and its security merits and cons are briefly explained. Virtualization foundations, financial sector adoption, and hypervisor attacks and virtual machine growth are key. This study extensively explains risk-based security's advantages over conventional solutions. Reactive and proactive security is achieved by monitoring and adjusting methods to detect, assess, and reduce risks. A strong risk-based security architecture encompasses network security, data protection, identity and access management, and regulatory framework compliance. These examples show how risk-based strategies improve security and resilience. The Study discusses AI, blockchain, and financial data security concerns and solutions. This Study concludes that virtualized financial data protection requires risk-based approaches. Financial institutions receive practical help creating and enhancing security infrastructures to combat changing threats. These strategies can help institutions plan for future needs with a balanced, safe, and efficient virtualized environment.


Keywords: Virtualization, Financial data security, Risk-based security, Hypervisor, VM sprawl


Edition: Volume 8 Issue 6, June 2019


Pages: 2442 - 2447


DOI: https://www.doi.org/10.21275/SR24820002613



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Raja Venkata Sandeep Reddy Davu, "Workload-Aware Hypervisor Optimization: A Comprehensive Guide to Performance Tuning with Case Studies", International Journal of Science and Research (IJSR), Volume 8 Issue 6, June 2019, pp. 2442-2447, URL: https://www.ijsr.net/getabstract.php?paperid=SR24820002613, DOI: https://www.doi.org/10.21275/SR24820002613



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