DOS Lab : Distributed & Object Systems labLink to Lab Webpage

Engineering of software systems, especially large scale distributed object systems is the major research focus of the Distributed & Object Systems lab at IIT Madras. The group is involved in research and development of enabling technologies for next generation computer applications in the areas of distributed systems, mobile computing, databases, wireless sensor networks, object oriented software engineering.

Research AreasCloud Computing, Distributed Operating Systems.
MembersFaculty : D. Janakiram.

Students/Scholars :
Project Staffs :

Recent Publications
  • Cloudy Knapsack Algorithm for Offloading Tasks from Large Scale Distributed Applications.  
           Harisankar Haridas , Sriram Kailasam , D. Janakiram
          Appeared in IEEE Trans. Cloud Computing, Vol 7, pp.949-963, Jan 2019
  • Sparker: Optimizing Spark for Heterogeneous Clusters.  
           Nishank Garg , D. Janakiram
          Appeared in 2018 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2018, Nicosia, Cyprus, December 10-13, 2018, pp.1-8, Dec 2018
  • GAS: GPU Assisted Process Scheduling for Multicore Systems.  
           D. Janakiram , S. J. Balaji , Akshay Dhumal , Nishank Garg , Ganesh Kulkarni
          Appeared in The 47th International Conference on Parallel Processing, ICCP 2018, Workshop Proceedings, Eugene, OR, USA, August 13-16, 2018, pp.47:1-47:9, Aug 2018
  • Tula: A disk latency aware balancing and block placement strategy for Hadoop.  
           D. Janakiram , Srikant Padala , Balaji Kammili , Vikram Kumar
          Appeared in 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, pp.2853-2858, Dec 2017
  • Sherlock: Lightweight Detection of Performance Interference in Containerized Cloud Services.  
           Kartik Joshi , Arun Raj , D. Janakiram
          Appeared in 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2017, Bangkok, Thailand, December 18-20, 2017, pp.522-530, Dec 2017

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