Vasileios A. Memos

Work place: Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Network Architecture, Network Security, Mathematics of Computing


Vasileios A. Memos received the B.Sc. degree in Technology Management and the M.Sc. degree in Applied Informatics (with specialization in Computer Systems and Network Technologies) from School of Information Sciences of University of Macedonia (Thessaloniki, Greece), in 2012 and 2017 respectively. His main research interests include computer networks, wireless and mobile communications, cloud computing, wireless sensor networks, internet of things, network and computer security, cryptography, privacy and security software testing.

Author Articles
Efficient Multimedia Transmission over Scalable IoT Architecture

By Vasileios A. Memos

DOI:, Pub. Date: 8 Jun. 2018

Today the new technology concept, called “Internet of Things” (IoT), presents a significant field of research, due to the fact that it promises many advantages to the users worldwide. Besides this, multimedia file streaming tends to be a daily user habit, as a result of the evolution of the internet and the capabilities of devices, such as mobile phones and computers. This tendency has established Cloud Computing (CC) as a vital technology due to the fact that it reduces economic costs, improves accessibility and flexibility, while it increases the total network performance too. This paper demonstrates a new technological approach for IoT architecture, where a layered implementation with the use of many cloud servers can offer optimized streaming and download, because of the significant reduction of the transfer time costs and the storage space of the Main Cloud Server (MCS). Moreover, users will have the ability to choose or adapt to their devices’ restrictions, between low - up to - Ultra-High Definition (UHD) quality for multimedia access and downloading, thanks to a new quality scalability feature which is introduced and is based on the new High-Efficiency Video Coding (HEVC) compression standard. Experimental results show the efficiency of the proposed approach with math formulas and graphs.

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