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The Third International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies ENERGY 2013 March 24 - 29, 2013 - Lisbon, Portugal |
| Tutorials |
T1. New Networking Technologies Support for Media-oriented Applications
by Prof. Dr. Eugen Borcoci, University Politehnica Bucuresti, Romania
T2. Service Components and Ensembles:
Building Blocks for Autonomous Systems
by Prof. Dr. Nikola Šerbedžija, Fraunhofer FIRST, Germany
T3. Data Analysis and Integration Tools in Biomedical Informatics:
A Case Study in Aging Research
by Prof. Dr. Hesham H. Ali, University of Nebraska at Omaha, USA
DETAILS
T1. New Networking Technologies Support for Media-oriented Applications
by Prof. Dr. Eugen Borcoci, University Politehnica Bucuresti, Romania
The content and media oriented communications (including social networks) are forecasted to produce a high percentage of the total network traffic in the global Internet (more than 90% - estimated in 2015). This trend raises high challenges for transportation networks, especially if different degrees of quality of services/experience (QoS/QoE) are requested, to be assured on demand for the end users. On the other side, the business models becomes more complex with several actors (including end users) playing single or combined roles as information/content consumers but also content or services providers.
This tutorial will present an overview of recent architectures and technologies, studied in research groups but also developed in the real market, capable to more efficiently support the media applications and services. In Software Defined Networks (SDN) architecture and the associate OpenFlow technology, the control and data planes are decoupled. Network intelligence is centralized, thus offering a better and also flexible control of the resource management and respectively QoS, due to the possibility to have an overall image of the system in the control plane and also by allowing programmability of the network resources. The new cloud computing technologies offer Infrastructure as a Service (IaaS) and Network as a Service (NaaS) as important tools, capable among others, to efficiently serve the dynamic bandwidth and storage needs of the media and content oriented applications. Content/information oriented/centric networking architectures propose to significantly (revolutionary) change the traditional approach, by decoupling the content and location at network level, thus creating the possibility for media objects to be directly leveraged in network nodes. The above approaches can be however seen and developed as complementary, cooperating and supporting each other, aiming finally towards higher overall capabilities of the networked media systems.
T2. Service Components and Ensembles:
Building Blocks for Autonomous Systems
by Prof. Dr. Nikola Šerbedžija, Fraunhofer FIRST, Germany
Modern control systems are highly collective, constructed of numerous independent entities that have individual, but also share common goals. Their elements are both autonomous and cooperative featuring a high level of self awareness and self expressiveness. A complex control system built with such entities must be robust and adaptive offering maximal utilization with minimal energy and resource use. The tutorial details a novel approach to respond to such challenges. Several software engineering aspects will be presented: (1) service–component ensembles (SCE) as means to dynamically structure independent and distributed system entities; (2) formalization and modeling the fundamental SCE properties as means to rigorously reason about autonomous behavior and aware-rich networking, and (3) adaptive and knowledge-rich software environments and tools for the development of self-aware, self-adaptive and self-expressive autonomic systems.
The approach to construct complex systems using ensembles of service components is generic and applicable in a number of domains. It relies on general-purpose linguistic and tools support, as well as echanisms to reason about and to prove system properties. The presented theoretical concepts will be illustrated on four different case studies featuring optimization and adaptive control for vehicular assistance, swarm robotics, cloud computing and e-mobility. All four case studies will be explained in details showing a strong pragmatic orientation of the approach. [see also a popular text @ http://blog.ascens-ist.eu/ or promotion PerAdaTV video @ http://reflect.pst.ifi.lmu.de/]
T3. Data Analysis and Integration Tools in Biomedical Informatics:
A Case Study in Aging Research
by Prof. Dr. Hesham H. Ali, University of Nebraska at Omaha, USA
The last few years have witnessed significant developments in various aspects of Biomedical Informatics, including Bioinformatics, Medical Informatics, Public Health Informatics, and Biomedical Imaging. The explosion of medical and biological data requires an associated increase in the scale and sophistication of the automated systems and intelligent tools to enable the researchers to take full advantage of the available databases. This ranges from the effective storage of data and their associated data models, to the design of efficient algorithms to automate the data mining procedures, and also to the development of advanced software systems to support data integration. With more researchers taking on Bioinformatics projects that integrate theoretical and applied concepts from both Bioscience as well as Computational Sciences, Biomedical informatics is quickly emerging as the most exciting field of research in this century. In this tutorial, we present an overview of the state of discipline for Biomedical Informatics with a focus on the nature and diverse of the available data as well as data collection tools. We make a case for the need for smarter and more advanced data integration and data analysis tools. Such tools are desperately needed to connect the datasets and obtain useful information that can be used for better medical discoveries and patient care. We present examples of recently developed intelligent tools and expert systems that produced exciting results that could not have been obtained without such innovative integration. We then focus on a case study in aging research to illustrate the proposed integration and analysis tools.
