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

© 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

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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 Research - Goals

Source: http://www.sycor-asia.com/opencms/as/products_services/complementary_services/Telecommunication/

Future Internet

Seamless Adaptive Multimedia Communications


Fields of Research at KOM

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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

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the implementation of

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creation and evolution of



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is primarily

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provides a distinct

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shape the design of

automate business

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is comprised of

Self-organizing Systems & Overlay Communications

Delay

Loss

overlay

underlay

Cross Layer

QoS

Model

Simulation Testbed

Large-s

cale va

lidatio

n

Model im

prove

ment

Small-scale validation

Model im

provement

Testbed extension

Improvement of simulation tools

Metrics, Requirements

Evaluation P2P

Mechanisms

Work

load

Benchmarking Platform

Simulation, Analytical Modeling

Benchmarking

Testbeds Usability

Monitoring







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KOM Research

Research Areas





Service-Orientation

Design Paradigm

Service-oriented

Solution Logic

Service-oriented

Architecture

Services

Service

Compositions

Service Inventory



is designed to support the

creation and evolution of



select

from the

is comprised of

standardized

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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


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


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

Mo

tiva

tion

C

ha

llenge

s

Con

tribu

tions



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

Mo

tiva

tion

C

ha

llenge

s

Con

tribu

tions

Collaborative Ressource-based

Knowledge Acquisition &

Exchange


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


Mo

tiva

tion

C

ha

llenge

s

Con

tribu

tions

Vehicular Desaster

Relief

Smart

Environment


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)


Mo

tiva

tion

C

ha

llenge

s

Con

tribu

tions


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 Provider C

Service Provider A

Service Provider B

Service Requester

Service Requester

Service 3

Service 4

Service 1

Service 2

SLA SLA

Mo

tiva

tion

C

ha

llenge

s

Con

tribu

tions


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


Questions & Contact

Prof. Dr.-Ing. Ralf Steinmetz

Dept. of Electrical Engineering and Information Technology Dept. of Computer Science (adjunct professor)

[email protected]

Rundeturmstr. 10 Phone +49 (0) 6151/166150 64283 Darmstadt Fax +49 (0) 6151/166152 Germany www.kom.tu-darmstadt.de

mailto:[email protected]



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

Internet

kom research network

kom research goals source

kom hmy data

fields of research

research results

specific principles

distinct set of principles

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