Namaste ! My name is Nishant Saurabh. Currenty, I am a Ph.D. Researcher in the Distributed & Parallel Systems (DPS) Group at the Instititue for Informatics, University of Innsbruck (UIBK), Austria. My Ph.D. supervisor is Dr. Radu Prodan, an eminent researcher in the field of Distributed Systems, who is also an Associate Prof. at Institute for Informatics at UIBK and is currently leading the Cloud Computing Group within DPS.
Prior to start of Ph.D., I obtained my MSc. degree specialized in High Performance Distributed Computing at Computer Science department of Vrije Universiteit, Amsterdam, Netherlands. I completed my Masters Thesis under the inspirational supervision of Dr. Ana Lucia Varbanescu, another eminent researcher and an Assistant Prof. at University of Amsterdam(UvA), Netherlands.
Semantic approach to Storage and Interoperability in Federated Cloud Systems
Multi-objective optimization approaches for Resource Placement and Provisioning in Federated Clouds.
Self Adaptive Distributed Complex systems, its structural and behavioral analysis
in Federated Clouds
Complex network characteristics in Federated Cloud Networks.
ARTICONF: smART socIal media eCOsystem in a blockchaiN Federated
environment(EU Horizon H2020)
Role : Scientific Coordinator
Status : Ongoing
Start Date : January 2019 | End Date : January 2022
Description: ARTICONF researches and develops a novel set of trustworthy, resilient, and globally sustainable decentralised
social media services. ARTICONF addresses issues of trust, time-criticality and democratisation for a new
generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises that
proprietary social media platforms have failed to deliver so far. Namely, its goals are to:
simplify the creation of open and agile social media ecosystem with trusted participation using a two stage
automatically detect interest groups and communities using graph anonymization techniques for decentralised
and tokenized decision-making and reasoning
elastically autoscale time-critical social media applications through an adaptive orchestrated Cloud edge-based
infrastructure meeting application runtime requirements
enhance monetary inclusion in collaborative models through cognition and knowledge supply chains
ENTICE: dEcentralised repositories for traNsparent and efficienT vIrtual maChine
opErations.(EU Horizon H2020)
Role : WP4 (Multiobjective and autonomous VMI repository) Research & Development Team Member,
Status : Completed
Start Date : Februray 2015 | End Date : February 2018
Description : With the intention of designing a platform for the creation of lightweight VM images, using distributed storage and multi-objective optimisation, ENTICE is aiming to cut the size of VM images and increase the speed of VM image deployment. Namely, its goals are:
Creation of lightweight VM images through functional descriptions