TNS Living Lab by Yiouli Kritikou


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TNS Living Lab by Yiouli Kritikou

  1. 1. Telecommunication Networks and integrated Services (TNS) Laboratory Department of Digital Systems University of Piraeus Research Center (UPRC) University of Piraeus Laboratory Profile Prof. Panagiotis Demestichas, Dr. Yiouli Kritikou, Dr. George Dimitrakopoulos Email:, ,
  2. 2. Outlinev  Profile (brief) Ø  Institution, department, laboratoryv  Past and ongoing research activities Ø  Legacy assets – Completed research activities Ø  Emerging assets – Ongoing research activitiesv  Future interests regarding research activities Ø  Evolution of ICT infrastructures and services Ø  ICT and energy, transportation, environment management, sustainable growth, Internet-connected social vehiclesv  Concluding remarksTNS - UPRC Profile – January 2012 2
  3. 3. Profile (1/6)v  The University of Piraeus comprises nine academic departmentsv  The University of Piraeus Research Center (UPRC) provides administrative assistance to basic and applied research activities, conducted by the personnel of the University of Piraeusv  The Department of Digital Systems was founded in 1999TNS - UPRC Profile – January 2012 3
  4. 4. Profile (2/6)v  Telecommunication Networks and integrated Services (TNS) Laboratoryv  Objective - Short Description Ø  The Laboratory of Telecommunication Networks and integrated Services (TNS) is framed within the Department of Digital Systems, of the University of Piraeus. Ø  The main objective of the TNS Laboratory is to conduct research and development in all areas related to telecommunication networks and services. Through its research, development and educational activities, the Laboratory will contribute to the realization and sustainable development of a human-centric Information and Communication Society.v  Personnel Ø  3 members of faculty Ø  4 Senior Research Engineers (PhD) Ø  5 Research Engineers – PhD students Ø  25 Research/Software Engineers – Thesis at postgraduate or undergraduate levelTNS - UPRC Profile – January 2012 4
  5. 5. Profile (3/6)v  Actors Ø  the public sector, the owner of the TNS Living Lab Ø  the European Commission, the sponsor of the TNS Living Lab Ø  the TNS Living Lab partners in the research projects that participates in Ø  the TNS Lab networks (WUN CogCom, WWRF, WInF)v  Tests performed on a yearly basis Ø  tests are performed within the TNS Living Lab on a weekly basis, the results of which are showcased in approximately ten (10) major events, such as Demonstration Booths and high profile conferences per year.v  Success stories, external customers Ø  several products (reconfigurable terminals, knowledge based selection algorithms for terminals and network elements) have been adopted by more than twenty (20) external customersTNS - UPRC Profile – January 2012 5
  6. 6. Profile (4/6)v  The TNS Laboratory conducts applied and basic research on: Ø  High-speed, fixed-access, broadband networks Ø  High-speed, wireless-access, infrastructures (2G, 3G, 4G, B3G) Ø  Core networks Ø  Services and respective platforms in heterogeneous networks Ø  Internet and Web technologies Ø  Design, management and performance evaluation of communication networks Ø  Software Engineering, Service-oriented platforms Ø  Optimisation techniques, algorithm and complexity theory, queuing theoryTNS - UPRC Profile – January 2012 6
  7. 7. Profile (5/6): Legacy assetsTNS Research, Standardization TNS Research, Standardization Activities: Infrastructure Activities: Servicesv  FP7/IST E3 (End-to-End Efficiency) v  EUREKA/CELTIC IMPULSE (Integrated Ø  Cognitive networks and systems (Technical Multimodal Platform for Ubiquitous Multimedia Management) Service Execution)v  FP6/IST E2R (End-to-End Reconfigurability) Ø  IMS platforms Ø  B3G Infrastructures, Reconfigurable, Software v  EUREKA/CELTIC WIN-HPN (Wireless Adaptable, SDR Intelligent Hospital Premises Network)v  FP6/IST ACE (Antenna Centre of Excellence) Ø  Digital Health Ø  4G systems v  FP5/ISTv  FP5/IST Ø  Moebius Ø  MONASIDRE, CREDO, SHUFFLE Ø  E-Business and Digital Health over 2.5G and 3G Ø  B3G Infrastructures, Cooperative Infrastructuresv  FP4/IST v  FP4/IST Ø  STORMS Ø  Screen, Montage Ø  Design of 3G Infrastructures Ø  Service Engineering, Accounting, Personal Mobilityv  ARIADNE (Ministry of Development, General v  DIOSKOUROI Secretariat for Research and Technology): Ø  Training and consultancy on modern Dynamic Spectrum Management and Planning of telecommunication infrastructures and services for 4G Wireless Access Networks and Terminals. Military personnelv  Consultancy (Ministry of Finance, Ministry of Education, Private sector related to 4G systems and WiMAX)TNS - UPRC Profile – January 2012 7
  8. 8. Profile (6/6): Emerging assetsv  Contributions to EU-funded projects and initiatives Ø  FP7/ICT ONEFIT (Opportunistic networks and Cognitive Management Systems for Efficient Application Provision in the Future Internet) – STREP – Project coordination Ø  FP7/ICT UniverSelf (Self-management in the FI) – IP – WP leadership Ø  FP7/ICT iCore (Internet Connected Objects for Reconfigurable Eco-systems) – IP Ø  FP7/ICT ACROPOLIS (Advanced coexistence technologies for Radio Optimisation in Licensed and Unlicensed Spectrum) - NoE Ø  COST ICT Action IC0902 on Cognitive radio and networking for cooperative coexistence of heterogeneous wireless networks – National representativev  Active participation to standardization bodies, research fora Ø  ETSI-RRS (Reconfigurable Radio Systems), AFI (Autonomic network engineering for the self-managing Future Internet) Ø  IEEE SCC41 (Dynamic Spectrum Access Networks)/1900.4 WG on Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks Ø  Wireless World Research Forum (WWRF), Future Internet Initiatives, European Networks of Living Labs (ENoLL), Cognitive Communications WUNTNS - UPRC Profile – January 2012 8
  9. 9. Legacy assets (1/5): Cognitive wireless networks: cognitive network management, self-organizing network (prototype)v  Input Ø  Context: traffic, mobility, interference, element status •  Change of element status, e.g., fault of some component like TRX → trigger for self-healing mechanisms Ø  Profiles: equipment, application, user requirements and preferences Ø  Policies: optimization objectives, strategies, constraints, strategiesv  Optimization mechanisms Ø  Algorithms for various time scales, optimal or near-optimal Ø  Short time scale: greedy, online Ø  Mid-term: simulated-annealing, taboo search, genetic algorithmsv  Output Ø  Configuration at various levels Ø  Radio Access Technology and spectrum selection per BS/TRX Ø  Interconnection of network elements Ø  QoS level determination per user classv  Learning Ø  Contexts encountered in time space Ø  Solutions applied, resources used, and efficiency exhibited Ø  OFDM case: subset of subcarriers that can be usedv  Impact Ø  Optimal QoS, operational efficiency, automation of tasks, minimization of human involvement, reduction of operational expenditure (OPEX) and of capital expenditures (CAPEX) (avoid worst case based planning)TNS - UPRC Profile – January 2012 9
  10. 10. Legacy assets (2/5): Management functionality for cognitive devices (software prototype)v  Knowledge-based, reactive and proactive, learning-based, handling of situationsv  Selection and enforcement of optimal device configuration based on Ø  Context (Monitoring, Sensing), profiles, policies Ø  Negotiation (English, Dutch models) Ø  Policies and profiles Ø  Selection algorithms for operator-driven (policy- driven) connection with infrastructure or in ad-hoc mode Ø  Knowledge base: learning and exploiting experience on contexts most likely encountered, network and configuration capabilities, user preferences §  Utilization of Bayesian networks, artificial neural Prototype networks: Learning user preferences conditional probabilitiesv  Implementation of prototype Ø  Deployed on various devices: NOKIA 810, HP PDATNS - UPRC Profile – January 2012 10
  11. 11. Legacy assets (3/5): Platform for the integration and management of cognitive systems in future networks (IMaCS)IMaCS combines Composite Wireless Networkv  Integration of cognitive management Cognitive Reconfigurable Devices schemes Cognitive Network Management System Policies Ø  Collaborative (network-terminal, network- Context information Reconfiguration decisions Knowledge Sharing edges) decision making algorithms Context information §  Efficient operation of the heterogeneous, cognitive system, through self-x principles Knowledge Sharing Ø  Autonomous decision-making algorithms Cognitive Access Points Ø  Information and knowledge acquisition and sharing mechanisms Ø  Information related to context, profiles, policies (e.g., optimization objectives, constraints, strategies)v  Virtualisation of infrastructure Ø  Every application, service, infrastructure element can be virtualised as a new set of services Ø  Infrastructure elements can offer various services to composite services/applications §  Efficient exploitation of the infrastructure, through high-level interfaces, which are offered to developers of services/applications §  Services/applications can issue actions (e.g. reconfiguration services) towards the infrastructureTNS - UPRC Profile – January 2012 11
  12. 12. Legacy assets (4/5): Platform for the integration and management of cognitive systems in future networks (IMaCS)IMaCS implementationv  The current implementation comprises diverse network elements, several user devices and self-management functionalitiesv  Utilisation of JADE/JADEX agent platform Ø  Provides various service orchestration functionalities Ø  High- level interfacing mechanisms based on XML Ø  Ontology for information flow which can be easily extended/modifiedTNS - UPRC Profile – January 2012
  13. 13. Legacy assets (5/5): Experimentation platform for the assessment of an IEEE 1900.4-based management architecture* v  After identifying and describing the exact info to be conveyed… Generated  Traffic   Co nt Information ex Setup of a platform to t Re RAN v  … co GENERATOR agent nfi experiment on a IEEE 1900.4-agent Policies/Context RAN1 gu … OSM Packet Based Core Network rat based architecture, i on TRC s RMC functionality and interfaces (Cognitive) Terminal RRC v  Multi-agent environment based TRM … RAN NRM on JADE (Java Agents Radio agent DEvelopment framework) OSM Enabler agent Network     v  Performance assessment TMC Spectrum   Network N RAN Status   Context Ø  Indicative scenarios Usage Status  & &  Policies e xt Policies Cont Ø  Results w.r.t. measured signalling Spectrum   Info s ation load/delays Assignment   Reconfiguration Manager TRM – Terminal MT R e co n figur OSM – Operator Spectrum Manager NRM – Network Reconfiguration Manager &RulesTerminal Reconfiguration Controller TRC – agents NRM MT – RAN Reconfiguration Controller RRC TMC – Terminal Measurement Collector agent RMC – RAN Measurement Collector agent(s) MT  Status RAN – Radio Access Network Notification [*] IEEE Std 1900.4™-2009, IEEE Standard for Architectural Building Blocks Enabling Network-DeviceTNSDistributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks - UPRC Profile – January 2012
  14. 14. Emerging assets (1/3): OneFIT: Networking schemes for wireless access to the Future Internet v  Main direction: Opportunistic networks and cognitive management systems for efficient application provision in the Future InterneT (OneFIT) v  Web site: v  Opportunistic networks Ø  Operator governed (through resources, policies, and information/knowledge) Ø  Coordinated with the infrastructure Ø  Comprise network elements of infrastructure and devices (envisaged in the Future Internet) Building on: spectrum management, secondaryv  Requirements: Ø  usage, infrastructure-less networks, social Ø  Numerous diversified applications, social networking, networks prosumer concept -> applications with a “localized” interest Ø  Context, profile, policy, knowledge-aware routing Ø  Machine-to-Machine (M2M): communication without v  Cognitive management systems (or only limited) human intervention Ø  Provide the means for feasibility determination, Ø  Increased interest for wireless creation, maintenance, handling of forced Ø  Utmost efficiency in resource provision (resource terminations utilization, “green” decisions, further lower costs) Ø  Resolve potential congestion situations, expand v  Control Channels for the Cooperation infrastructure coverage when/where temporarily Ø  Information definition, signaling flows, protocols needed, efficiently offer localized applications and (packet structures, exchange) contentTNS - UPRC Profile – January 2012 14
  15. 15. Emerging assets (2/3): UniverSelf: Autonomic management of FI infrastructure v  Main direction: Autonomic network elements in infrastructure (access points, routers, gateways, etc.): behaviour determination based on Ø  Context changes (alterations in environment or internal system status) Ø  Policies (rules), capabilities (profiles) Ø  Optimization mechanisms Ø  Knowledge, experience development/sharing v  Intelligence evolution and deployment Ø  Distributed reactive/proactive situation handling based on knowledge development and sharing Ø  Wireless self-organized networks exploiting cognition techniques Ø  Distributed traffic engineering in wireline segments exploiting cognition techniquesv  Requirements in FI era: v  Federation Ø  Demanding situations in terms of Quality of Experience – Quality of Service, in order to Ø  Existence of autonomic systems for (specialized in) adequately support a wide range of applications, managing particular technologies/segments/networks including video, voice, data flows, etc. Ø  Federation of these autonomic systems for end-to- Ø  Changing situations (potentially unpredictably) end, optimal provision of applications Ø  Efficiency in QoE and QoS provision in terms of Ø  Interface definition and standardization total cost of ownership, e.g., OPEX, CAPEX, etc., v  Validation decisions with “green” footprint Ø  User-oriented criteria; Business drivers Ø  Evolution of existing and emergence of new Ø  Approach based on prototyping, experiments, trials, business models (roles and entities), in order to pilots; Result analysis and system fine-tuning utilize new opportunities opened by the FI Ø  Consolidation and trust generation Ø  Coherence, convergence, stability, scalabilityTNS - UPRC Profile – January 2012 15
  16. 16. Emerging assets (3/3): iCore: Internet Connected Objects for Reconfigurable Eco-systems v  Main direction: Open cognitive framework for the Internet of Things: (i) Virtual Objects (VOs): Cognitive virtual representations of real-world objects (RWOs) and digital objects (DOs) (ii) Composite Virtual Objects (CVOs): Cognitive mash-ups of semantically interoperable VOs (iii) Users/stakeholders perspectives v  VOs comprise cognitive mechanisms (self- management and learning capabilities) Ø  Offering information and knowledge on the RWO/DO context of operation (e.g., location, availability of energy, computing, storage, communication resources, etc.) and profile (capabilities). Source: iCore Consortium Ø  Transforming raw measurements to knowledgev  Requirements: Ø  Corresponding to the end-users/stakeholders Ø  Address heterogeneity of objects of the requirements Internet of Things (IoT) v  CVOs: use VOs, and deliver services in Ø  Increase the reusability of objects, outside the accordance with the user/stakeholder scope in which they were originally deployed (e.g. a traffic monitoring or security camera to be requirements. used for the creation of the digital v  Scalable fabrics (in each level) for the representation of any object) registration, discovery composition of services Ø  Increase reliability, availability of services and v  Validation use cases: ambient assisted living, energy efficiency v  smart office, transportation, and supply chain Ø  Allow business integration of the views of multiple stakeholders in the composition of services management and logisticsTNS - UPRC Profile – January 2012 16
  17. 17. Future interests: ICT infrastructures, management v  All facets associated with networks, management, applications and services Source: eTOM standard by TeleManagement Forum v  Training activities (MSc, PhD, undergraduates) related to the eTOM and other management models v  Research achievements with emphasis on resource and services development v  Research on management frameworksTNS - UPRC Profile – January 2012 17
  18. 18. Future interests: ICT and energy networks Transmission   Energy   Power   network Distribution Consumers Sources v  Objectives Production Ø  High demand ON      OFF  OFF Internet Ø  Sharing and exploitation of available renewableThe  Energy  mix: resources Vehicles,  electricity,  smart  • Renewables (solar,  wind,  hydro,   homes,  heating,  computingbiomass,  geothermal,  hydrogen)• Nuclear Ø  Find minimal cost allocation of energy production• Fossil (coal,  oil,  natural  gas,  LNG) resources, minimise outages v  Energy generation Ø  Decrease the environmental cost of production and transferring Ø  Renewable and legacy energy resources v  Technical Approach v  Distribution network Ø  Interfaces among ICT and Grid Infrastructures Ø  From resources Ø  Transfer of information and corresponding decisions, according to QoS requirements v  Transmission network Ø  ICT infrastructure offers also processing/ Ø  To end users/ consumers computing resources for reaching optimal v  Consumers decisionsTNS - UPRC Profile – January 2012 18
  19. 19. Future interests: ICT and environment management v  Objectives Ø  Minimum cost/ highly reliable acquisition of information Ø  Knowledge development through computations in the ICT infrastructure (and general devices) Ø  Decision enforcement v  Technical Approach Ø  Business drivers, requirementsv  Services to support engineering Ø  Emergency handling (fires, oils, Ø  Device development/ Interface floods, spill) development Ø  Long term studies for sustainable Ø  Integration with ICT infrastructure development Ø  Validation through prototyping Ø  Security and safety experimentation and pilot with respect to business driversTNS - UPRC Profile – January 2012 19
  20. 20. Future interests: ICT and intelligent transportations Travellers Centers -­‐ Services Maintenance   v  Objectives Commercial   Traffic   Emergency   Toll   and   Remote   traveller   Management Management Administration Vehicle   Administration Construction   (focusing on services) support Management Ø  Dynamically resolve Information   Fleet  and   Archived   Personal   information   service   Emissions   Management Transit   Management Freight   data   congestion situations provider Management Management access Ø  Reduce time and increase Wide  area  (wireless)   the utilization of Wireline (fixed-­‐point  to  fixed-­‐point)  communications communications transportation means Dedicated  short-­‐range   Reduce emissions, handleVehicle-­‐to-­‐Vehicle   communications Ø  communications Roadway Vehicle Toll   (Emergency,  commercial,   transit,  maintenance  and   collection Parking   emergencies management Commercial   construction) vehicle  check Roadsidev  Achievements combining ICT and transport v  Technical Approach Ø  Car pooling system Ø  Information extraction from the Y. Kritikou et al, “A management scheme for improving transportation efficiency infrastructure v  and contributing to the enhancement of the social fabric”, Telematics and Informatics journal, Vol. 26, No. 4, pp. 375-390, November 2009 Ø  ICT infrastructure for transferring v  Y. Kritikou et al, “A Management System for Improving Traffic Efficiency in Transportation Infrastructures”. In Proc. of 1st International Symposium on information with QoS guarantees Vehicular Computing Systems 2008 (ISVCS 2008), Dublin, Ireland, July 2008 Ø  Processing/computing of optimal Ø  Cognitive networks and transportation decisions potentially through ICT infrastructures infrastructure means v  G. Dimitrakopoulos, P. Demestichas, “Intelligent transportation systems based on cognitive networking principles”, IEEE Vehicular Technology Magazine , Vol. 5, Ø  Provision of services and management No. 1, pp. 77-84, March 2010TNS - UPRC Profile – January 2012 20
  21. 21. Future interests: Internet-connected social vehicles (1/3) v  Target Ø  Facilitate the creation of efficient innovation ecosystems that develop services and applications making use of information generated by users (e.g. through social networks) or captured from sensors (Internet of Things); v  Motivation Retrieve context Ø  Everyday phenomena in transportation information from other vehicles and the environments infrastructure §  Increased utilization of vehicles §  Traffic congestions Intelligently process V2I information and plan §  Delays actions §  Pollution §  Degradation of life quality §  Emergencies / accidents Issue directives to driver / propose actions §  Influence on social fabric Requirements V2V v  V2I §  Exploitation of ICT in urban transportation environments (smart cities) through NG services / applications §  Improvement of the driver’s and pedestrians’ safety levels §  Improvement of the passengers’ quality of life through entertainment.TNS - UPRC Profile – January 2012
  22. 22. Future interests: Internet-connected social vehicles (2/3) v  Solution Road signs, traffic lights, road segments, Ø  Vehicles and objects of the transportation other objects infrastructure that are connected through an all IP-based infrastructure IP-based communication Exchange of information directly or interface Ø  indirectly (through social networks) Provision of data directly or indirectly (e.g. through web- Ø  Resolution of issues, so as to result in a more based services and communities, social networks, etc.) efficient, safe and green world of Vehicle -1 Autonomic Vehicle -2 Autonomic Management Management Functionality Functionality transportation. v  Technical challenges / expertise Ø  Traffic assessment and management Ø  Real-time collection of context information based on social networks Input Ø  In-vehicle and on-road safety and emergency Profiles and policies Contextual data management derivation acquisition Ø  Intelligent parking management based on experience creation sensors Decision Knowledge and Autonomic Making Exploitation of autonomic networking management Ø  algorithmic process principles Output Ø  Cognitive systems Decisions for: 1) extension of vehicle horizon 2) Self-healing through web services §  Lane keeping 3) directives for improving energy efficiency §  Obstacle recognition Repository (database)TNS - UPRC Profile – January 2012
  23. 23. Future interests: Internet-connected social vehicles (3/3) v  Benefits Ø  Important value-adding mechanisms for the wireless industry (manufacturer, application / service provider) and the user Ø  Enhanced vehicular service provision Ø  Lower costs (components of the total ownership costs) Ø  Management decisions with a “green” footprint. v  Exploitation of consortium from various viewpoints Ø  Research Ø  SMEs (software providers, network operators) Ø  End-users Ø  Public organizations (statistical traffic data) v  Adoption of user-centric methodologies Ø  Direct exploitation in Kifissia, Athens, Greece Ø  Reduced time-to market Ø  Opening new gates in research v  G. Dimitrakopoulos, P. Demestichas, V. Koutra, "Intelligent Management Functionality for Improving Transportation Efficiency by means of the Car Pooling Concept", IEEE Transactions on Intelligent Transportation Systems, to appear.TNS - UPRC Profile – January 2012
  24. 24. Conclusionsv  Aspects covered Ø  Profile Ø  Legacy and Emerging Assets related to the FI Ø  Future Interests §  Evolution of ICT infrastructures and services §  ICT and energy, smart energy §  ICT and transportation, intelligent transportation systems §  ICT and environment management, sustainable growth §  Internet-connected social vehiclesTNS - UPRC Profile – January 2012 24