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Praveen Kumar Donta

About me

Praveen Kumar Donta, currently Senior Lecturer at the Department of Computer and Systems Sciences, Stockholm University, Sweden. He worked at the Distributed Systems Group at TU Wien, as a Postdoctoral researcher from July 2021 to June 2024. He received his Ph.D. from the Indian Institute of Technology (Indian School of Mines), Dhanbad, in the Department of Computer Science & Engineering in June 2021. He was a Visiting Ph.D. fellow at Mobile&Cloud Lab, University of Tartu, Estonia from July 2019 to Jan 2020. He received his Master in Technology and Bachelor in Technology from the Department of Computer Science and Engineering at JNTUA, Ananthapur, with Distinction in 2014 and 2012, respectively. He is an IEEE Senior Member and an ACM Professional Member. He is serving as Editorial board member in Computing Springer, ETT Wiley, POLS One, Measurement, and Computer Communications Elsevier Journals. His current research is on learning-driven distributed computing continuum systems, Casual and Conscious Continuum Systems, and Intelligent Data Protocols.

Research

  • Distributed Computing Continuum Systems
  • Learning Techniques in IoT
  • AI/ML for Computing Systems
  • Congnition, Causality in Computing Systems
  • Cyber-physical Continuum

Publications

A selection from Stockholm University publication database

  • Invited Paper: DeepSLOs for the Computing Continuum

    2024. Victor Casamayor Pujol (et al.). ApPLIED'24

    Conference

    The advent of the computing continuum, i.e., the blending of all existing computational tiers, calls for novel techniques and methods that consider its complex dynamics. This work presents the DeepSLO as a novel design paradigm to define and structure Service Level Objectives (SLOs) for distributed computing continuum systems. Hence, when multiple stakeholders are involved, the DeepSLO allows them to plan the overarching behaviors of the system. Further, the techniques employed (Bayesian networks, Markov blanket, Active inference) provide autonomy and decentralization to each SLO while the DeepSLO hierarchy remains to account for objectives dependencies. Finally, DeepSLOs are represented graphically, as well as individual SLOs enabling a human interpretation of the system performance.

    Read more about Invited Paper: DeepSLOs for the Computing Continuum

Show all publications by Praveen Kumar Donta at Stockholm University

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