|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|
|IEEE Transaction on Parallel and Distributed Systems (IEEE-TPDS)|
|IEEE Journal on Selected Areas in Communications (IEEE-JSAC)|
|Internet of Things and Cloud Computing|
|International Conference on Computer Science and Application Engineering (CSAE 2019), China|
|International Conference on Computer Science and Application Engineering (CSAE 2018), China|
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.
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.
Fog computing: Integration of fog and cloud computing. Computation offloading to Cloud, job migration between cloud and fog computing.
Artificial Intelligence (AI): 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.