Computer Laboratory

Dr Javad Zarrin

I am a research associate at Computer Laboratory, University of Cambridge. Before joining the Lab, I was a postdoctoral research associate at Department of Computer Science, at City, University of London. Before that, I worked in ATNoG research group at Instituto de Telecomunicações (IT-Aveiro) in Portugal for several years. I received my Ph.D. in Computer Science from the University of Porto (MAPi), Portugal in 2017. I had the honour of working with Professor Rui L. Aguilar as my PhD supervisor in IT-Aveiro. I did my MSc in Telecommunications and Network Engineering at Department of Computer and Communication Systems Engineering, University Putra Malaysia (UPM) in 2009. I also obtained my BSc degree in Physics. My research interests are in the broad area of distributed systems. My current research is focused on optimal solutions for resource management in very large scale Data Centers.

Research Interests

  • Distributed Optimization Algorithms.
  • High Performance Computing
  • Cloud, Cluster and Parallel Computing
  • Simulation and Modelling
  • Networks
  • Internet of Things
  • Cyber-Physical Systems

Selected Publications

  • Javad Zarrin, Rui L. Aguiar, João Paulo Barraca, HARD: Hybrid Adaptive Resource Discovery for Jungle Computing, In Journal of Network and Computer Applications, Volume 90, 2017, Pages 42-73, ISSN 1084-8045, link
  • Javad Zarrin, Rui L. Aguiar, João Paulo Barraca, ElCore: Dynamic elastic resource management and discovery for future large-scale manycore enabled distributed systems, In Microprocessors and Microsystems, Volume 46, Part B, 2016, Pages 221-239, ISSN 0141-9331, link
  • Javad Zarrin, Rui L. Aguiar, João Paulo Barraca, Dynamic, scalable and flexible resource discovery for large-dimension many-core systems, In Future Generation Computer Systems, Volume 53, 2015, Pages 119-129, ISSN 0167-739X, link
  • Javad Zarrin, Rui L. Aguiar, João Paulo Barraca, Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects, In Simulation Modelling Practice and Theory, Volume 72, 2017, Pages 168-201, ISSN 1569-190X, link