Milinda Pathirage

Papers

Total Citations

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About

Milinda Pathirage is a researcher whose work sits at the critical intersection of high-performance computing, cloud infrastructure, and the Internet of Things (IoT). His primary research focus is on enabling real-time, high-performance processing of streaming data, a challenge central to modern dynamic systems. Pathirage’s major contribution lies in architecting solutions that offload computationally intensive tasks from resource-constrained IoT devices—such as mobile robots and smart sensors—to powerful cloud data centers. This paradigm, rooted in Dynamic Data Driven Application Systems (DDDAS), allows for the seamless, low-latency processing of event streams that would otherwise exceed the hardware limits of edge devices. His most cited work, "Towards High Performance Processing of Streaming Data in Large Data Centers" (2016), has garnered 20 citations, establishing a foundational approach for leveraging cloud elasticity to meet the real-time demands of ubiquitous sensing. By tackling the bottleneck of streaming data in large-scale environments, Pathirage’s research directly supports the next generation of autonomous systems and smart city applications, making him a key figure in bridging the gap between IoT hardware constraints and cloud-based computational power.