Tahir Alyas

Papers

Total Citations

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About

Tahir Alyas is a leading researcher at the intersection of cloud-native computing and digital governance, whose work addresses critical challenges in both infrastructure automation and post-pandemic public administration. His most-cited paper, "Vertical Pod Autoscaling in Kubernetes for Elastic Container Collaborative Framework" (2022, 8 citations), makes a foundational contribution to container orchestration by advancing Vertical Pod Autoscaler (VPA) capabilities beyond traditional Horizontal Pod Autoscaling (HPA), enabling more efficient resource utilization in Kubernetes environments. This work directly impacts the elastic scaling of containerized applications, a cornerstone of modern cloud infrastructure. Complementing this technical focus, Alyas's second most-cited work, "Post Pandemic World and Challenges for E-Governance Framework" (2021, 7 citations), demonstrates his breadth by analyzing how cloud computing and IoT-driven automation are reshaping government digital services in the wake of COVID-19. His research uniquely bridges the gap between low-level system optimization and high-level societal transformation, making his insights valuable for both DevOps engineers and policy architects. With a growing citation footprint, Alyas is establishing himself as a versatile scholar whose work on Kubernetes scalability and e-governance frameworks provides practical solutions for the next generation of distributed systems and digital public services.