Performance analysis in mobile computer games over the web

Modern video games are in their majority distributed interactive applications, which allow their participants to interact with each other. The great number of users and the large distribution of users’ placement demands the use of many servers, having large geographical distances among them, co operating for the smooth conduct of games. We have to study, not only the way users connect to the servers, but also, the way servers interconnect among themselves. The inter-server network architectureand the way they distribute clients among them, affects the communication delay and therefore the total cost. In this dissertation thesis, through a number of simulations, we will come to a conclusion for a number of client distribution algorithms, how one can achieve a theoretical maximum gain from conducting a match and using the above conclusions, deduct whether it is possible, games with real-time network demands to exist on cellular phones.

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Intelligent smart buildings management system in smart cities' environments

The internet of things era is looming and no solid architectures for the management of the abundance of smart objects has been proposed yet. In this dissertation thesis I aim to propose a system architecture for WSNs that caters to the self-configuration and self-management, as well as the multi-criticality of services, without need for homogenous WSNs, the IoT is in dire need of. This will be achieved by adding multiple layers of abstraction over the underlying WSNs. Moreover I will create a prototype that implements part of said architecture as proof of concept.

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Context-aware IoT: An Autonomic Approach targeting Multi-critical Applications

The Future Internet era dictates the deployment of high complexity systems having a variety of autonomic properties, such as such adaptivity, self-configuration and self-optimization. Context-aware Internet of Things (IoT) promotes the realization of IoT architectures enabling intelligent IoT devices and applications to cooperate with others within the same environment in a dynamic fashion. This research aims at the design and deployment of an autonomic management framework targeting real-time optimization of operational properties in the context-aware IoT environment. To this end an autonomic architecture for IoT services will be explored, focusing on diverse requirement satisfaction, including for example response time, energy efficiency and users’ satisfaction. The scope of the research is a) to explore challenges in building autonomic IoT architectures to support multi-critical applications and b) to indicate efficient solutions for dealing with them, promoting self-configuration and self-optimisation properties.

Expected 2018

Embedded intelligence in smart cities through multi-core smart building architectures: Research achievements and challenges

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A multi-core context-aware management architecture for mixed-criticality smart building applications

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An autonomic management framework for multi-criticality smart building applications

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