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© author(s) of these slides including research results from the KOM research network and TU Darmstadt; otherwise it is specified at the respective slide
28-Apr-15
Prof. Dr.-Ing. Ralf Steinmetz
KOM - Multimedia Communications Lab
Template all v.3.4
KOM-overview-fuer-Slideshare-2015.04.16_v.03.pptx
Adaptive Seamless
Multimedia Communications
Research @ Multimedia Communications Lab
Technische Universität Darmstadt
Source: http://www.sycor-asia.com/opencms/as/products_services/complementary_services/Telecommunication/
KOM – Multimedia Communications Lab 2
KOM
@ Technische Universität Darmstadt
KOM – Multimedia Communications Lab 3
KOM Research - Goals
Source: http://www.sycor-asia.com/opencms/as/products_services/complementary_services/Telecommunication/
Future Internet
Seamless Adaptive Multimedia Communications
KOM – Multimedia Communications Lab 4
Fields of Research at KOM
H(„my data“)
= 3107
2207
7.31.10.25
peer-to-peer.info
12.5.7.31
95.7.6.10
86.8.10.18
planet-lab.orgberkeley.edu
2906
3485
201116221008
709
611
89.11.20.15
?
Service-oriented Computing
Knowledge &
Educational Technologies
Multimedia Technologies &
Serious Games
Mobile Systems &
Sensor Networks
Service-Orientation
Design Paradigm
Service-oriented
Solution Logic
Service-oriented
Architecture
Services
Service
Compositions
Service Inventory
is designed to support
the implementation of
is designed to support the
creation and evolution of
is designed to support
the implementation of
select
from the
is comprised of
standardized
provides specific
principles in
support of
is primarily
distinguished by
can be comprised of
provides a distinct
set of principles that
shape the design of
automate business
processes by
assembling
is comprised of
Self-organizing Systems &
Overlay Communications
Delay
Loss
overlay
underlay
Cross Layer
QoS
Model
Simulation Testbed
Large-scale
validation
Model im
provement
S
m
all-scale
validation
M
odelim
provem
ent
Testbed extension
Improvement of simulation tools
Metrics,
Requirements
Evaluation
P2P
Mechanisms
Workload
Benchmarking
Platform
Simulation, Analytical Modeling
Benchmarking
TestbedsUsability
Monitoring
KOM – Multimedia Communications Lab 5
 Knowledge & Educational Technologies
 Multimedia Technologies & Serious Games
 Mobile Systems & Sensor Networks
 Self-organizing Systems & Overlay Communications
 Service-oriented Computing
H(„my data“)
= 3107
2207
7.31.10.25
peer-to-peer.info
12.5.7.31
95.7.6.10
86.8.10.18
planet-lab.orgberkeley.edu
2906
3485
201116221008
709
611
89.11.20.15
?
KOM Research
Research Areas
Service-oriented Computing
Knowledge &
Educational Technologies
Multimedia Technologies &
Serious Games
Mobile Systems &
Sensor Networks
Service-Orientation
Design Paradigm
Service-oriented
Solution Logic
Service-oriented
Architecture
Services
Service
Compositions
Service Inventory
is designed to support
the implementation of
is designed to support the
creation and evolution of
is designed to support
the implementation of
select
from the
is comprised of
standardized
provides specific
principles in
support of
is primarily
distinguished by
can be comprised of
provides a distinct
set of principles that
shape the design of
automate business
processes by
assembling
is comprised of
Self-organizing Systems &
Overlay Communications
KOM – Multimedia Communications Lab 6
International
 EU: ALFRED
 EU: SIMPLI-CITY
National
 BMBF: KOLA
 BMBF: MoLEM
 BMBF: NeuroCare
 BMBF: SMARTER
 BMBF: Praktische Klinische Kompetenz
 BMBF: Software Cluster - SINNODIUM
 BMBF: Softwarecampus
 BMWi: eBusiness Lotse Da-Di
 BMWi: EXIST- Gründerstipendium
 DFG: Graduiertenkolleg AIPHES
 DFG: Crowdsourcing
 DFG: Sonderforschungsbereich MAKI
 Hessen LOEWE: SoLin
 Hessen LOEWE: NICER
 TUD: Forschungscluster Future Internet
 TUD: HSP 2020
 TUD: Graduiertenschule f. Energiewissenschaft
und Energietechnik
 TUD: Moodle Peers
 TUD: Urban Health Games
Industry
 E-Finance Lab
 ISPRAT
 NeuroCare+
 SmartKita
KOM Research
Projects
KOM – Multimedia Communications Lab 7
Research Area
Service-oriented Computing
 Melanie Siebenhaar /
Christoph Rensing
University Lecturers (adjunct)
 André Miede
 HTW, Saarbrücken
 Parag Mogre
 Siemens AG, München
 Zoltán Nochta
 SAP, Karlsruhe
 Krishna Pandit
 Siemens AG, Erlangen
 Xavier Perez Costa
 NEC Laboratories Europe,
Heidelberg
 Harald Rau
 Ostfalia Hochschule für
angewandte Wissenschaften
 Andreas Reinhardt
 TU Clausthal
 Ivica Rimac
 Alcatel-Lucent, Stuttgart
Network and Systems Management
(KOM-httc)
 Ronny Hans
Adaptive Overlay
Communications
 Dominik Stingl
Distributed Sensing
Systems
 Doreen Böhnstedt
Knowledge Media
 Christoph Rensing
Serious Games
 Stefan Göbel
Adjunct Assistant Professors
 David Hausheer
 Peer-to-Peer Systems
Engineering Lab
 Martin Knöll
 Digitale Stadtspiele
Adjunct Associated Professor
 Andreas Mauthe
 Univ. of Lancanster
Adjunct Full Professor
 Klara Nahrstedt
 Multimedia Operating
System and Networking
Group, UIUC, Illinois, US
 Paul Müller
 Integrated Communication
Systems, TU Kaiserslautern
Adjunct Full Professor &
Kooperationsprofessur
 Wolfgang Effelsberg
 Distributed Multimedia
Systems
KOM Research Groups -
Adjunct Chairs and Research Groups
Research Area: Service-oriented Computing
 Melanie Siebenhaar
KOM – Multimedia Communications Lab 8
 Real-time, data-intensive, or social applications in the Future Internet
 Harder traffic constraints, increasing heterogeneity, higher dynamics
 Current problems of today‘s Internet
 Bounded delay capabilities, congested networks
 Development of overlays
 Enabling low-delay and locality-aware communication
 Considering the context of users
 Monitor & Analyze
 Retrieve status of communication system
 Detection of the user communication context
 Plan & Execute
 Analysis and evaluation of discovered services
 Transition and migration between mechanisms
 Adaptive, location- and context-aware
overlay mechanisms
 Adaptation and transition strategies for
overlay mechanisms
 Distributed monitoring and analysis mechanisms
 Dynamic resource-allocation and optimization
algorithms for cloudlet-based multimedia service
Self-organizing Systems &
Overlay Communications
Application Scenarios
Adaptive and Context-Aware Overlay
Monitoring
Analysis and
Context
Regonition
Adaptation
Mechanisms
Overlay
Mechanism
Environmental Conditions
Multicast
Pub-Sub
Routing and
Search
Content
Delivery
…
System
State
Context &
Decision
Execution
Current
Quality
MotivationChallengesContributions
KOM – Multimedia Communications Lab 9
Knowledge & Educational Technologies
Knowledge discovery, exchange and creation & learning
changes towards open arrangements due to
 usage of internet & social media applications
 collaboration between users
 availability of new (mobile) devices
 continuous connectivity
Application perspective
 User is overcharged and need support
 High autonomy of users leads to little external control
Technological perspective
 Ecology (heterogeneity and continuously development) of
applications and devices
 Extensive data and resources
Adaptation (adaptivity and adaptability) mechanisms to
support users in learning, teaching and knowledge
discovery and exchange processes
 Context aware & personalized services
 Recommender Systems
 Analysis of textual information & resources
MotivationChallengesContributions
Collaborative
Ressource-based
Knowledge
Acquisition &
Exchange
KOM – Multimedia Communications Lab 10
Motivation
 We live in a world full of sensors
 Plenty of service can be introduced based on sensed data
 Processed sensor data can be used for novel services
 Save energy in a smart home,
travel more comfortable and efficient,
provide help in disaster relief scenarios, …
Challenges
 Networks of heterogeneous distributed sensors
 Seamless communication between sensors,
gateways, actuators, end devices
 Generation of higher level data from
raw sensor data streams
Contributions
 Adaptive data distribution
 Distributed processing of sensor data/event streams
 In-network aggregation and fusion of the data
 Extraction of features and application of machine learning
 Creation and evaluation of novel services, e.g., in testbeds
Mobile Systems & Sensor Networks
MotivationChallengesContributions
Vehicular Desaster
Relief
Smart
Environment
KOM – Multimedia Communications Lab 11
Information & Knowledge Society
 Creative Industries, Games
 Technology-enhanced Learning,
Training & Simulation
Grand Challenges in Serious Games
 Adaptation & Personalization
 Seamless communications
 Authoring, Control & Evaluation
Contributions
 Research and development of mechanisms, models, tools and services for the efficient,
cost-effective production and control of engaging and playful, high-quality, context and
user-centric multimedia systems in various application domains (e.g. Education,
Technology-enhanced Learning, Training & Simulation or Sports & Health)
 Authoring, control and evaluation (usability, user experience) of game-based Learning
Environments (single & multiplayer, online/off-line, web-based, mobile)
Multimedia Technologies & Serious Games
MotivationChallengesContributions
KOM – Multimedia Communications Lab 12
Motivation
 IT is becoming increasingly cloud-based and service-oriented
 Technologies not mature enough for business-critical application
 Lack of cross-organizational integration of services
Challenges
 Service management in distributed scenarios
 Quality of Service (QoS)
 Economic efficiency
 Security and governance
Contributions
 Optimized QoS for service-oriented systems
 Reliable process composition and execution
 Cost-efficient service procurement and provision
 Secure and compliant service and cloud usage
Service-oriented Computing
Service
Provider C
Service
Provider A
Service
Provider B
Service
Requester
Service
Requester
Service 3
Service 4
Service 1
Service 2
SLA
SLA
MotivationChallengesContributions
KOM – Multimedia Communications Lab 13
DFG SFB 1053: Collaborative Research Center
MAKI – Multi-Mechanisms Adaptation for the Future Internet
Intended
Quality
Achieved
Quality
Communication System
Application Scenario
General & Environmental Conditions
Multi-Mechanism 1
Mechanism Mechanism
Multi-Mechanism 2
Mechanism Mechanism
Multi-Mechanism 3
Mechanism Mechanism
Layer n+1
Layer n
Layer n-1
...
... System
Configuration I
Transition
Transition
Transition
... ...
Multi-Mechanisms Adaptation
...
...
...
1
1M 1
2M
2
2M2
1M
3
1M 3
2M
System
Configuration II
KOM – Multimedia Communications Lab 14
Questions & Contact
Prof. Dr.-Ing. Ralf Steinmetz
Dept. of Electrical Engineering and Information Technology
Dept. of Computer Science (adjunct professor)
Ralf.Steinmetz@KOM.tu-darmstadt.de
Rundeturmstr. 10 Phone +49 (0) 6151/166150
64283 Darmstadt Fax +49 (0) 6151/166152
Germany www.kom.tu-darmstadt.de

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Multimedia Communications Lab (KOM) - TU Darmstadt - Research Overview

  • 1. © author(s) of these slides including research results from the KOM research network and TU Darmstadt; otherwise it is specified at the respective slide 28-Apr-15 Prof. Dr.-Ing. Ralf Steinmetz KOM - Multimedia Communications Lab Template all v.3.4 KOM-overview-fuer-Slideshare-2015.04.16_v.03.pptx Adaptive Seamless Multimedia Communications Research @ Multimedia Communications Lab Technische Universität Darmstadt Source: http://www.sycor-asia.com/opencms/as/products_services/complementary_services/Telecommunication/
  • 2. KOM – Multimedia Communications Lab 2 KOM @ Technische Universität Darmstadt
  • 3. KOM – Multimedia Communications Lab 3 KOM Research - Goals Source: http://www.sycor-asia.com/opencms/as/products_services/complementary_services/Telecommunication/ Future Internet Seamless Adaptive Multimedia Communications
  • 4. KOM – Multimedia Communications Lab 4 Fields of Research at KOM H(„my data“) = 3107 2207 7.31.10.25 peer-to-peer.info 12.5.7.31 95.7.6.10 86.8.10.18 planet-lab.orgberkeley.edu 2906 3485 201116221008 709 611 89.11.20.15 ? Service-oriented Computing Knowledge & Educational Technologies Multimedia Technologies & Serious Games Mobile Systems & Sensor Networks Service-Orientation Design Paradigm Service-oriented Solution Logic Service-oriented Architecture Services Service Compositions Service Inventory is designed to support the implementation of is designed to support the creation and evolution of is designed to support the implementation of select from the is comprised of standardized provides specific principles in support of is primarily distinguished by can be comprised of provides a distinct set of principles that shape the design of automate business processes by assembling is comprised of Self-organizing Systems & Overlay Communications Delay Loss overlay underlay Cross Layer QoS Model Simulation Testbed Large-scale validation Model im provement S m all-scale validation M odelim provem ent Testbed extension Improvement of simulation tools Metrics, Requirements Evaluation P2P Mechanisms Workload Benchmarking Platform Simulation, Analytical Modeling Benchmarking TestbedsUsability Monitoring
  • 5. KOM – Multimedia Communications Lab 5  Knowledge & Educational Technologies  Multimedia Technologies & Serious Games  Mobile Systems & Sensor Networks  Self-organizing Systems & Overlay Communications  Service-oriented Computing H(„my data“) = 3107 2207 7.31.10.25 peer-to-peer.info 12.5.7.31 95.7.6.10 86.8.10.18 planet-lab.orgberkeley.edu 2906 3485 201116221008 709 611 89.11.20.15 ? KOM Research Research Areas Service-oriented Computing Knowledge & Educational Technologies Multimedia Technologies & Serious Games Mobile Systems & Sensor Networks Service-Orientation Design Paradigm Service-oriented Solution Logic Service-oriented Architecture Services Service Compositions Service Inventory is designed to support the implementation of is designed to support the creation and evolution of is designed to support the implementation of select from the is comprised of standardized provides specific principles in support of is primarily distinguished by can be comprised of provides a distinct set of principles that shape the design of automate business processes by assembling is comprised of Self-organizing Systems & Overlay Communications
  • 6. KOM – Multimedia Communications Lab 6 International  EU: ALFRED  EU: SIMPLI-CITY National  BMBF: KOLA  BMBF: MoLEM  BMBF: NeuroCare  BMBF: SMARTER  BMBF: Praktische Klinische Kompetenz  BMBF: Software Cluster - SINNODIUM  BMBF: Softwarecampus  BMWi: eBusiness Lotse Da-Di  BMWi: EXIST- Gründerstipendium  DFG: Graduiertenkolleg AIPHES  DFG: Crowdsourcing  DFG: Sonderforschungsbereich MAKI  Hessen LOEWE: SoLin  Hessen LOEWE: NICER  TUD: Forschungscluster Future Internet  TUD: HSP 2020  TUD: Graduiertenschule f. Energiewissenschaft und Energietechnik  TUD: Moodle Peers  TUD: Urban Health Games Industry  E-Finance Lab  ISPRAT  NeuroCare+  SmartKita KOM Research Projects
  • 7. KOM – Multimedia Communications Lab 7 Research Area Service-oriented Computing  Melanie Siebenhaar / Christoph Rensing University Lecturers (adjunct)  André Miede  HTW, Saarbrücken  Parag Mogre  Siemens AG, München  Zoltán Nochta  SAP, Karlsruhe  Krishna Pandit  Siemens AG, Erlangen  Xavier Perez Costa  NEC Laboratories Europe, Heidelberg  Harald Rau  Ostfalia Hochschule für angewandte Wissenschaften  Andreas Reinhardt  TU Clausthal  Ivica Rimac  Alcatel-Lucent, Stuttgart Network and Systems Management (KOM-httc)  Ronny Hans Adaptive Overlay Communications  Dominik Stingl Distributed Sensing Systems  Doreen Böhnstedt Knowledge Media  Christoph Rensing Serious Games  Stefan Göbel Adjunct Assistant Professors  David Hausheer  Peer-to-Peer Systems Engineering Lab  Martin Knöll  Digitale Stadtspiele Adjunct Associated Professor  Andreas Mauthe  Univ. of Lancanster Adjunct Full Professor  Klara Nahrstedt  Multimedia Operating System and Networking Group, UIUC, Illinois, US  Paul Müller  Integrated Communication Systems, TU Kaiserslautern Adjunct Full Professor & Kooperationsprofessur  Wolfgang Effelsberg  Distributed Multimedia Systems KOM Research Groups - Adjunct Chairs and Research Groups Research Area: Service-oriented Computing  Melanie Siebenhaar
  • 8. KOM – Multimedia Communications Lab 8  Real-time, data-intensive, or social applications in the Future Internet  Harder traffic constraints, increasing heterogeneity, higher dynamics  Current problems of today‘s Internet  Bounded delay capabilities, congested networks  Development of overlays  Enabling low-delay and locality-aware communication  Considering the context of users  Monitor & Analyze  Retrieve status of communication system  Detection of the user communication context  Plan & Execute  Analysis and evaluation of discovered services  Transition and migration between mechanisms  Adaptive, location- and context-aware overlay mechanisms  Adaptation and transition strategies for overlay mechanisms  Distributed monitoring and analysis mechanisms  Dynamic resource-allocation and optimization algorithms for cloudlet-based multimedia service Self-organizing Systems & Overlay Communications Application Scenarios Adaptive and Context-Aware Overlay Monitoring Analysis and Context Regonition Adaptation Mechanisms Overlay Mechanism Environmental Conditions Multicast Pub-Sub Routing and Search Content Delivery … System State Context & Decision Execution Current Quality MotivationChallengesContributions
  • 9. KOM – Multimedia Communications Lab 9 Knowledge & Educational Technologies Knowledge discovery, exchange and creation & learning changes towards open arrangements due to  usage of internet & social media applications  collaboration between users  availability of new (mobile) devices  continuous connectivity Application perspective  User is overcharged and need support  High autonomy of users leads to little external control Technological perspective  Ecology (heterogeneity and continuously development) of applications and devices  Extensive data and resources Adaptation (adaptivity and adaptability) mechanisms to support users in learning, teaching and knowledge discovery and exchange processes  Context aware & personalized services  Recommender Systems  Analysis of textual information & resources MotivationChallengesContributions Collaborative Ressource-based Knowledge Acquisition & Exchange
  • 10. KOM – Multimedia Communications Lab 10 Motivation  We live in a world full of sensors  Plenty of service can be introduced based on sensed data  Processed sensor data can be used for novel services  Save energy in a smart home, travel more comfortable and efficient, provide help in disaster relief scenarios, … Challenges  Networks of heterogeneous distributed sensors  Seamless communication between sensors, gateways, actuators, end devices  Generation of higher level data from raw sensor data streams Contributions  Adaptive data distribution  Distributed processing of sensor data/event streams  In-network aggregation and fusion of the data  Extraction of features and application of machine learning  Creation and evaluation of novel services, e.g., in testbeds Mobile Systems & Sensor Networks MotivationChallengesContributions Vehicular Desaster Relief Smart Environment
  • 11. KOM – Multimedia Communications Lab 11 Information & Knowledge Society  Creative Industries, Games  Technology-enhanced Learning, Training & Simulation Grand Challenges in Serious Games  Adaptation & Personalization  Seamless communications  Authoring, Control & Evaluation Contributions  Research and development of mechanisms, models, tools and services for the efficient, cost-effective production and control of engaging and playful, high-quality, context and user-centric multimedia systems in various application domains (e.g. Education, Technology-enhanced Learning, Training & Simulation or Sports & Health)  Authoring, control and evaluation (usability, user experience) of game-based Learning Environments (single & multiplayer, online/off-line, web-based, mobile) Multimedia Technologies & Serious Games MotivationChallengesContributions
  • 12. KOM – Multimedia Communications Lab 12 Motivation  IT is becoming increasingly cloud-based and service-oriented  Technologies not mature enough for business-critical application  Lack of cross-organizational integration of services Challenges  Service management in distributed scenarios  Quality of Service (QoS)  Economic efficiency  Security and governance Contributions  Optimized QoS for service-oriented systems  Reliable process composition and execution  Cost-efficient service procurement and provision  Secure and compliant service and cloud usage Service-oriented Computing Service Provider C Service Provider A Service Provider B Service Requester Service Requester Service 3 Service 4 Service 1 Service 2 SLA SLA MotivationChallengesContributions
  • 13. KOM – Multimedia Communications Lab 13 DFG SFB 1053: Collaborative Research Center MAKI – Multi-Mechanisms Adaptation for the Future Internet Intended Quality Achieved Quality Communication System Application Scenario General & Environmental Conditions Multi-Mechanism 1 Mechanism Mechanism Multi-Mechanism 2 Mechanism Mechanism Multi-Mechanism 3 Mechanism Mechanism Layer n+1 Layer n Layer n-1 ... ... System Configuration I Transition Transition Transition ... ... Multi-Mechanisms Adaptation ... ... ... 1 1M 1 2M 2 2M2 1M 3 1M 3 2M System Configuration II
  • 14. KOM – Multimedia Communications Lab 14 Questions & Contact Prof. Dr.-Ing. Ralf Steinmetz Dept. of Electrical Engineering and Information Technology Dept. of Computer Science (adjunct professor) Ralf.Steinmetz@KOM.tu-darmstadt.de Rundeturmstr. 10 Phone +49 (0) 6151/166150 64283 Darmstadt Fax +49 (0) 6151/166152 Germany www.kom.tu-darmstadt.de