Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Bayesian Coalition Game as-a-Service for Content Distribution in Internet of Vehicles

Abstract: With the latest developments in cloud computing and Internet of Vehicles (IoV), now it is possible to construct an efficient next generation infrastructure, which may act as an interface for the connection of a number of objects such as vehicles, intelligent sensors, actuators, home appliances, high-computing servers, and computers to the Internet. In such an environment, vehicles on the road may act as source provider or consumer to facilitate various users connected to the Internet. Content distribution to all these objects especially to the vehicles in this environment is a challenging task due to the tight constraints of maintaining connectivity, coverage, and topology of the vehicles. To address these issues, in this paper, we proposed a new Bayesian coalition game (BCG) as-a-service for content distribution among these objects using support from cloud. We have addressed the problem of content distribution to vehicles from the perspective of BCG and learning automata (LA). Content are assumed to be located at the cloud, which is accessed by the vehicles through Internet even on-the-fly. Vehicles are assumed to be the players in the game and form a coalition among themselves using Markov decision process (MDP). For each action taken by an automaton, it may get a reward or a penalty from the environment according to which it updates its action probability vector. The performance of the proposed scheme is evaluated be selecting various parameters. The results obtained show that proposed scheme is effective in building next generation IoV environment.

Network Service Chaining in Fog and Cloud Computing for the 5G Environment: Data Management and Security Challenges

Abstract: In the last few years, we have seen an exponential increase in the number of Internet-enabled devices, which has resulted in popularity of fog and cloud computing among end users. End users expect high data rates coupled with secure data access for various applications executed either at the edge (fog computing) or in the core network (cloud computing). However, the bidirectional data flow between the end users and the devices located at either the edge or core may cause congestion at the cloud data centers, which are used mainly for data storage and data analytics. The high mobility of devices (e.g., vehicles) may also pose additional challenges with respect to data availability and processing at the core data centers. Hence, there is a need to have most of the resources available at the edge of the network to ensure the smooth execution of end-user applications. Considering the challenges of future user demands, we present an architecture that integrates cloud and fog computing in the 5G environment that works in collaboration with the advanced technologies such as SDN and NFV with the NSC model. The NSC service model helps to automate the virtual resources by chaining in a series for fast computing in both computing technologies. The proposed architecture also supports data analytics and management with respect to device mobility. Moreover, we also compare the core and edge computing with respect to the type of hypervisors, virtualization, security, and node heterogeneity. By focusing on nodes' heterogeneity at the edge or core in the 5G environment, we also present security challenges and possible types of attacks on the data shared between different devices in the 5G environment.