Prof. Kashif Saleem

Smart Devices, App & Portocols

The 5th Generation (5G) Mobile Edge Computing (MEC) addresses the problem of high end-to-end delay experienced by traditional cloud computing users by ensuring fast accessible and reliable computing resources. However, the deployment of service instances in MEC resources requires migration due to user mobility. While Proactive Migration of service instances at multiple MECs increases users’ Quality-of-Experience (QoE), Reactive Migration might reduce the deployment cost at the expense of user QoE. In this paper, we have developed a framework, that distributes service instances proactively among the Edge Nodes depending on user movement trajectories to ensure faster migration of the service instances and deliver higher QoE within minimum VNF deployment cost considering users’ budgets. The aforementioned Proactive Service Placement (PSP) problem is formulated as a Multi-Objective Linear Programming (MOLP) that brings a trade-off between these two conflicting objectives, maximizing user QoE and lowering VNF deployment cost. For large networks, the PSP problem is proven to be an NP-hard problem. Thus, we have developed an artificial intelligence-based Hyper-heuristic algorithm for PSP, called HPSP, which can provide a high-performing solution within polynomial time. The HPSP exploits Tabu Search Optimization as a high-level meta-heuristic algorithm that selects one of the three lower-level meta-heuristic algorithms- Golden Eagle Optimizer, Sine Cosine Optimization, and Jellyfish Search Optimization depending on the situation. The results of numerical analysis describe that the HPSP system outperforms the other state-of-the-art works in terms of user QoE, cost, and the ratio of proactive to reactive service placements.

Prof. Kashif Saleem

Smart Devices, App & Portocols

The evolution of mobile devices has triggered the appearance of intelligent personal assistants (IPAs). IPAs are software agents used to support users to fulfill several daily actions. They are supposed to be intelligent in such a way that allows them to give their owners advices about many different subjects. To do so, IPAs must learn about their user behavior and routines. With the current state of the art technologies, scenarios of ubiquitous communication can be created. One of the potential enablers for those scenarios is the Internet of Things (IoT) paradigm where machines with decision support systems interact and communicate among them. In an IoT environment, IPAs can interact with other smart objects in order to gain new knowledge and awareness about their users. This paper proposes a novel IoT-based mobile gateway solution for mobile health (m-Health) scenarios. This gateway autonomously collects information about the user/patient location, heart rate, and possible fall detection. Moreover, it forwards the collected information to a caretaker IPA, in real time, that will manage a set of actions and alarms appropriately. The algorithms used for each mobile gateway service, and the scenarios where the mobile gateway acts as a communication channel or a smart object are also addressed on this paper.

Prof. Kashif Saleem

Smart Devices, App & Portocols

Internet of things (IoT) compose of million of devices connected together over the internet. IoT plays a vital role now a days and especially in future, the most of the monitoring and data collection. The data should be secure while collection and as well in the process of transferring till the destination whether Service Organization Control (SOC) or to cloud for storage. In this paper, a secure IoT based intelligent monitoring system is proposed.