Power consumption of data centers is a rising topic of great interest and numerous research activities. Articles handle power saving by using virtualization technologies and server consolidation strategies. We assume these technologies as a base, but we also want to enable a data center to prot from local renewable energy sources, reducing CO2 emissions. In this position paper, we propose the idea of integrating a data center into a smart grid, respecting location dependencies. We present our concept that consists of two individual simulation systems, a smart grid simulation framework and a data center simulation, which are both combined to create a holistic simulation. A special focus is placed on a new data center model, the Surrogate DC Model, and its functionality and requirements. The Surrogate DC Model behaves as a complete data center, but it can adapt itself and its architecture to different energy scenarios. The goal is, to obtain the best possible synergy eeffects between the data center and the smart grid in terms of energy exchange and infrastructure usage. At the end of the paper, we present further ideas and future research intentions, like a detailed Geographic Information System (GIS) integration.
The communication presentations (keynote talks, facilitated break-out sessions, posters) will be continuously in May and June.
Gunnar Schomaker is within the R & D Division for Energy of the OFFIS Institute for Information Technology, Germany, in charge of the group Energy Efficiency in ICT.
The research interests of Dr. Schomaker comprise Data Centers, Energy Efficiency, Smart Grid, Distributed Computing, and Virtualization.
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Inah Omoronyia is a lecturer in software engineering and information security, University of Glasgow (United Kingdom).
The research interest of Dr. Omoronyia is in the software engineering of secure systems, with specific focus on managing security and privacy of complex and adaptive systems.
Applications that continuously gather and disclose personal information about users are increasingly common. While disclosing this information may be essential for these applications to function, it may also raise privacy concerns. Partly, this is due to frequently changing context that introduces new privacy threats, and makes it difficult to continuously satisfy privacy requirements. But existing software engineering techniques cope poorly with high levels of context change, and cannot adequately predict consequences on user privacy needs when contextual factors change. This research holistically investigates a software engineering approach to adaptive privacy management in uncertain and dynamic environment.
Jose Luis Fernandez-Marquez is Researcher at the Institute of Services Science of the University of Geneva.
The research interests of Dr. Fernandez-Marquez include Self-Organizing and Self-Adaptive Systems Self-Organising Design Patterns Multi-agent Systems Robotics.
Emergent technologies are providing new communication devices such as mobile phones, smart sensors, or laptops, that can wirelessly and in an ad-hoc way connect thousands, or even millions of people, cars, public displays, or sensors. The exploitation of these large-scale networks allows to develop a wide range of new decentralised applications. Even though many works have been proposed, there is still a lack of frameworks that support the engineering of decentralised applications in a modular way, favouring re-use of code. Additionally, the development of these applications requires proper validation tools, such as, simulators able to deal with realistic scenarios and large number of nodes.
Kaspars Ozols is scientific assistant at the Institute of Electronics and Computer Science in Latvia.
The research interests of Mr. Ozols include biometric, brain computer interfaces, EEG signal data acquistion and processing, non-uniform sampling, wireless communications, signal processing, smart sensor development.
Ambient intelligence solutions may provide a great opportunity to reduce human effort in home maintenance. With this in mind, we propose an intelligent home assistant robot which can both move along the ground and fly. Such an autonomous multi-functional self learning system could, e.g., keep the dust from furniture, monitor the house , collect objects etc. in complex indoor environments. Strong emphasis is also laid on integrating friendly and intelligent HMI, which can include face and gesture recognition. In order to reach these requirements, proposed robot will use various sensors (cameras, inertial and weather sensors etc.) and sensor data fusion.
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Marcin Luckner is assistant professor in the Unit of Application of Computer Science and Numeric Methods of the Faculty of Mathematics and Information Science at Warsaw University of Technology (Poland).
The research interests of Dr. Luckner include Pattern Recognition, Classification, Matching, Geographic Information System, Support Vectors Machines, Neural Networks, Decision Trees.
Distributed Denial of Service (DDoS) attacks can block machines or services. A long term attack is very cheap, but its costs can be significant. Moreover, the attack cannot be stopped by the victim, because it utilizes all resources. Distributed probes grouped in a hierarchical structure that detect attacks before the culmination can be a solution. The probes are distributed among nodes of network and collects data about traffic. An analyzer groups information from probes and forewarns about attack. The main problem in the described issue are a huge flow of information that should be analyzed and a varied character of DDoS attack that evolves in time.
|CHIST-ERA Conference 2013 - Marcin Luckner.pdf||307.55 KB|
Michael Packianather is Senior Lecturer in the Institute of Mechanical and Manufacturing Engineering of Cardiff University (United Kingdom).
The research interests of Dr. Packianather include intelligent manufacturing systems, neural networks, pattern recognition, expert systems, fault diagnosis, quality control, signal processing, feature selection, data mining and machine learning, optimisation methods, bio-informatics, medical engineering, design of experiments ,and micro/nano technologies.
Supporting Rehabilitation of Disabled Using Industrial Robots for Upper Limb Motion Therapy. The innovative factors here will be to use the patient’s brain to control the rehabilitation robots, with series of the interactive 3D animations, games and entertainment, therapy programmes, and exercises to help patients actively and interactively involve in the rehabilitation process. The rehabilitation system will be developed using smart sensors integrated to the robotic platform. The system will have a knowledge base supplemented with soft computing techniques and self learning paradigms. The system will have capabilities for classification, clustering, diagnosis, trend analysis, scoring, prediction, optimisation, and decision making.
Peter Passmore is Senior Lecturer in Computer Science at Middlesex University in London (United Kingdom).
Adaptive simulation requires agents that are able to sense and understand their environment and situation, and respond autonomously to trainee actions and situational events”, that can be used in simulation and training, in domains such as critical incident management, command and control training, and intelligence analysis etc. The adaptive simulation agents could create responses that are informed by the users’ action, the immediate situation, and environmental factors of the training simulation environment, and potentially be deployed in real and virtual worlds.
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Qianni Zhang is lecturer at the Queen Mary University of London.
The research interests of Dr. Zhang include Image and video analysis and processing, semantic media analysis, content based multimedia retrieval, annotation and classification, multimedia systems in social environment, multimedia clustering and summarization, multi-feature fusion, semantic modeling and inference, surveillance video analysis, visual based schematic component detection, multi-view posture classification, medical image understanding.
The new generation of media Internet envisages an ambient, content-centric Internet-based environment, highly flexible and secure, where people can work, meet, participate in live events, socialise and share experiences, as they do in real life, but without time, space and affordability limitations. To achieve this, integration of cutting-edge technologies related to 3D data acquisition and processing, sound processing, autonomous avatars, networking, real-time rendering, physical interaction and emotional engagement in virtual worlds is required. The challenge encompasses two aspects. First, adapting the latest 3D content creation software to create new tools. Second, how to utilise it within a social network environment.