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I am an Assistant Professor of Distributed Systems Group, a member of Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, since Aug 2021. Before this, I joined Mobile & Cloud Lab as a Researcher.
In Fall 2013, I joined Future Ubiquitous Networking (FUN) Lab at Chang Gung University as a Master student under Prof. Prasan Kumar Sahoo. The lab is now changed to Artificial intelligence and Big data Computing (ABC) Lab.
In Fall 2014, I upgrade the Master program to PhD program at the Department of Computer Science and Information Engineering at CGU.
| Sept 2013 ~ Jan 2019 | : | Ph.D. in Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan | |
| Thesis title: Scheduling and Resource Management Algorithms for Cloud Computing. | |||
| Supervisor: Prof. Prasan Kumar Sahoo | |||
| Aug 2010 ~ July 2013 | : | Master in Computer Application, Biju Patnaik University of Technology (BPUT), Odisha, India | |
| Thesis title: Implementation of Radix sort in binary number system. | |||
| Supervisor: Dr. Rudramohan Tripathy | |||
| Aug 2006 ~ June 2009 | : | Bachelor in computer Application, Sambalpur University, Odisha , India |
Publication
Courses
2022/23 Fall
- LTAT.06.015 - DevOps: Automating Software Delivery and Operations
- MTAT.03.280 - Mobile and Cloud Computing Seminar (not as in-charge of this course)
2021/22 Spring
- LTAT.06.008 - Cloud Computing (not as in-charge of this course)
- MTAT.03.280 - Mobile and Cloud Computing Seminar (not as in-charge of this course)
2021/22 Fall
- LTAT.06.015 - DevOps: Automating Software Delivery and Operations
- MTAT.03.280 - Mobile and Cloud Computing Seminar (I have handled few student topics.)
2020/21 Spring
- LTAT.06.008 - Cloud Computing (not the supervisor in-charge of this course)
- MTAT.03.280 - Mobile and Cloud Computing Seminar (I have handled few student topics.)
Supervised Dissertations
Research Interest
Edge - Cloud Computing: My research mainly focused on Virtual Network Embedding (VNE) problem, where I have studied the optimization problem of resource utilization research issue. I focus on the application of different mathematical tools such as graph theory, Hidden Markov Model (HMM) to improve the embedding solution. Besides I focus on resource allocation, network-aware resource scheduling, resource-intensive job scheduling, virtual resource migration cost analysis, server load balancing, power management, fault tolerance analysis.
Edge Intelligence: Integration of fog and cloud computing. Computation offloading to Cloud, job migration between cloud and fog computing. Edge Intelligence, Cluster Edge Intelligence (CEI), Edge intelligence with Blockchain (#Blockchain-lite, #Blockchain@Edge)
Internet of Things: In conjunction with cloud computing, I am focusing on the combination of IoT world and the cloud environment. latency-aware job scheduling, bandwidth-aware job scheduling, IoT service management in cloud are some of the research issues I have studied.
Application of AI in Edge-Cloud computing: AI enabled Cloud resource management, resource demand prediction in cloud, , Pre-VNE based on workload prediction. pro-active AI enabled resource failure prediction in Fog and Cloud.
Smart Environment = Smart home + Smart building + smart city
Projects
Intelligence discoverability and observability in edge infrastructure
It is predicted by Gartner that 50% of the enterprise-generated data will be created and processed in the edge infrastructure comprised of ever-increasing billions of edge devices. Instead of implementing the intelligence in the cloud environment giving the full responsibility to manage a large number of edge devices, a minimal and required intelligence is imposed on the edge devices, enabling the edge intelligence that works in a master-worker approach. The major problem with this approach is that an edge device relies mostly on the data collected by the onboard sensors and the built-in or cloud-instructed intelligence, resulting in little scope for cooperation and collaboration among peers and hence no device-to-device knowledge transfer. read more....
Professional Activities
Guest Editor
- Wiley International Journal of Network Management (IJNM) - SI: Learning-driven Ubiquitous Mobile Edge Computing: Network Management Challenges for Future Generation IoT ( CFP )
- Computer Communications - SI title: Ambient Intelligence in Communication, Computation and Networking for Future Internet of Things
- Electronics, MDPI, Special Issue on Artificial Intelligence Technologies and Applications (pdf)
Journal/Conference Reviewer
Session Chair
PC Member
Committee Member
Technical Committee (TPC) Member
- The 22nd IEEE International Conference on Scalable Computing and Communications (ScalCom 2022), China [EDAS]
- International Conference on Electronic Information Technology and Computer Science, China
Invited Talks/Workshops/Training programs
- Keynote Speaker, Guest of Honor, TEQIP Sponsored Training Program on “Fundamentals of Openstack
and Containers in Cloud Technology”, Poojya Doddappa Appa (PDA) College of Engineering,
Kalaburagi, Karnataka, 23 March 2021
- Resource person, TEQIP Sponsored Training Program on “Fundamentals of Openstack and Containers
in Cloud Technology”, Poojya Doddappa Appa (PDA) College of Engineering, Kalaburagi, Karnataka,
23-25 March 2021
Members
- Memeber of Research Data Alliance (RDA)
- IEEE Member
- ACM India Member
Professional Badges
Webinars
- Webinar on RADON Data Pipeline: Automating data movement in cloud (organised by me)
(advt link) (Github repo) (Recorded video)
(Extended demo video)
Important Links (complete list)
https://orcid.org/0000-0003-1990-0431