Posted: Aug 18, 2022
The financial services industry faces unprecedented challenges in managing data center operations, with increasing transaction volumes, stringent regulatory requirements, and evolving cybersecurity threats. Traditional approaches to virtualization in banking environments have primarily focused on server consolidation and cost reduction, overlooking the complex interplay between performance optimization, security compliance, and operational resilience. This research introduces a paradigm shift in how virtualization technologies are conceptualized and implemented within banking data centers, moving beyond conventional resource management to create an integrated operational framework. Banking institutions process millions of transactions daily, with peak loads occurring during specific business hours, holiday seasons, and market events. Current virtualization solutions often struggle to adapt to these dynamic workloads while maintaining the strict security and compliance standards required by financial regulations. Our research addresses this gap by developing a novel virtualization architecture that dynamically reconfigures computational resources based on real-time transaction patterns, risk assessments, and regulatory constraints. The originality of this work lies in its cross-disciplinary approach, combining principles from distributed systems, cybersecurity frameworks, and financial compliance requirements to create a holistic virtualization strategy. Unlike previous research that treated these aspects separately, our methodology integrates them into a unified operational model that optimizes multiple dimensions simultaneously.
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