Internet has catalysed modern computing to evolve towards distributed architectures rapidly, creating novel technology paradigms like cloud computing and IoT. Computing Systems conducts interdisciplinary research into the infrastructure and systems that support such novel technology paradigms. The research ranges from theoretical, such as distributed systems, distributed system architectures and distributed algorithms to applied such as IoT, Web Services, Analytics, Ubiquitous Computing, Systems for Machine Learning and Distributed Multimedia systems. These research areas are intersectional in their design, underlying infrastructure and service delivery constraints. Focus areas include IoT management, networking and applications, vehicular networks, edge computing, web service design and analytics, system analytics, video delivery optimization and low latency distributed multimedia systems including cloud/edge rendered XR. The research uses empirical methodologies to leverage human factors like human visual system and human computer interaction in system design, specifically in cloud rendered XR and ubiquitous computing.
Key words: cloud computing, edge computing, IoT, performance, systems software, distributed systems, resource-aware and green computing
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Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges
Collaborative institute for research on information technology.
International research hub for artificial intelligence