SlideShare une entreprise Scribd logo
1  sur  16
Télécharger pour lire hors ligne
Event Applications:
Real-Life Experiences at the
    Hasso Plattner Institute


             Matthieu-P. Schapranow
              Hasso Plattner Institute
                        May 18, 2010
A
    Agenda
        d
2


      ■ Key Facts about the Hasso Plattner Institute
      ■ I: Radio Frequency Identification in the European Pharma Industry
      ■ II: Smart Power Grids




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Key Facts about the Hasso Plattner Institute
    Internals

3


      ■ Founded as a public-private partnership
        in 1998 in Potsdam near Berlin, Germany
                                      ,         y
      ■ Institute belongs to the
        University of Potsdam
      ■ Ranked 1st in CHE 2009
      ■ 500 B.Sc. and M.Sc. students
      ■ 10 professors, 92 PhD students
              f                  d


      ■ Course of study: IT Systems Engineering




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Key Facts about the Hasso Plattner Institute
      y
    Research Group Hasso Plattner / Alexander Zeier

4


      ■ Research focus: real customer data for enterprise
        software and design of complex applications
                         g         p    pp
            □ In-Memory Data Management for Enterprise Applications
            □ Human-Centered Software Design and Engineering
            □ Maintenance and Evolution of SOA Systems
            □ Integration of RFID Technology in Enterprise Platforms
      ■ Cooperations
            □ Academic: Stanford, MIT, etc.
            □ Industry: SAP, Siemens, Audi, etc.




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Key Facts about the Hasso Plattner Institute
    What can we do for you?

5


      ■ Network between Industry and Academic,
        e.g. European section of the
          g      p
      ■ Curriculum
            □ RFID seminars for graduate / undergraduate students
            □ Trends & concepts lecture (Prof. Hasso Plattner)
      ■ Enterprise Application Architecture Laboratory
            □ Enterprise software, e.g. SAP, Microsoft, etc.
            □ Equipped RFID Lab, e.g. deister electronic, noFilis, etc.
      ■ Concrete sizing and simulation of customer supply chains




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
I: European Pharma Supply Chain
    Anti-Counterfeiting

6




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
European Pharma Supply Chain
    Anti-Counterfeiting (cont’d)

7




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
European Pharma Supply Chain
    Business-level Security

8




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
European Pharma Supply Chain
    Business-level Security

9




    SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
European Pharma Supply Chain
     Data Sizing Assumptions

10


       ■ 14,9 billion pharmaceuticals on prescription per year
       ■ ~9 read events per supply chain
             □ 1 x producer (create + out)
             □ 2 x distributors (in + out)
                                (        )
             □ 1 x pharmacy (in + sell)
             □ 1 x customer (check)
       ■ Assuming 220 working days with 14 hours per day production
         results in ~12k events/second




                                                                                 Source: Interview with Stefan Führing
                                  (Pharmaceuticals, Enterprise and Industry Directorate-General European Commission)


     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
II S
     II: Smart P
               Power G id
                     Grids
11


                                                   ■ Real-time sensor data
                                                   ■ Outage notification
                                                   ■ Power quality monitoring
                                                   ■ Remote device management
                                                                       g
                                                   ■ Power peak control
                                                   ■ ...




     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Smart Power Grids
     Aspects
12


       ■ Device management
             □ Meter reading
       ■ Customer service
             □ Disconnection/
               reconnection
             □ Event mgmt.
       ■ Conceptual work
             □ Performance &
               risk evaluation
                i k    l ti
       ■ Energy consumption
             □ Sustainability

     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Smart Power Grids
     I
     Involved R l
         l d Roles
13




                                               Smart Grid




                   Smart
                  Metering



     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Smart Power Grids
     S
     System A hi
            Architecture
14




                                                            ■ 100M households


                                                            ■ Aggregators for
                                                              10k-50k households




                                                            ■ Preprocessing-as-a-Service




                                                            ■ Billing, remote device
                                                              management, etc.
     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Smart Power Grids
     D
     Data P
          Processing N d
                 i   Needs
15
            365 days x 96 events x 100 M households = 3.504 B events per year
         Thursday       Thursday     Friday      Friday    Saturday     Saturday                     Tuesday       Tuesday
         0am -6am      12pm -6pm   0am -6am    12pm -6pm   0am -6am    12pm -6pm                     0am -6am     12pm -6pm

              Thursday       Thursday     Friday        Friday  Saturday       Saturday                    Tuesday         Tuesday
             6am -12pm       6pm -0am   6am -12pm     6pm -0am 6am -12pm       6pm -0am                   6am -12pm       6pm -0am


                     Day 1                    Day 2                    Day 3                                     Day 30

          24 Reads     24 Reads

               24 Reads      24 Reads




                                                                                                                                        Time Slots on
                                                                                                                                     Business System
                                     M-F      M-F        M-F      M-F     Sat-Sun  Sat-Sun   Sat-Sun   Sat-Sun
                                   0am -6am 6am -12pm 12pm -6pm 6pm -0am 0am -6am 6am -12pm 12pm -6pm 6pm -0am




     SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
Thank you for your interest!
      K
      Keep i contact with us.
           in          ih
16

                          See you at the follow on discussion OR12534
                                           at 5:00 p.m.
                            in room 7, ecosystem and partner center
                                    7


     Responsible: Deputy Prof. of Prof. Hasso Plattner
     Dr. Alexander Zeier                                                  Matthieu-P. Schapranow, M.Sc.
     zeier@hpi.uni-potsdam.de                                  matthieu.schapranow@hpi.uni-potsdam.de




                                                                         Hasso Plattner Institute
                                                     Enterprise Platform & Integration Concepts
                                                                        Matthieu-P. Schapranow
                                                                           August Bebel Str.
                                                                           August-Bebel-Str 88
                                                                       14482 Potsdam, Germany

      SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010

Contenu connexe

Similaire à Event Applications: Real-Life Experiences at the Hasso Plattner Institute

Big data analytics und machine learning die Herrschaft der Daten
Big data analytics und machine learning die Herrschaft der DatenBig data analytics und machine learning die Herrschaft der Daten
Big data analytics und machine learning die Herrschaft der DatenPeter Seeberg
 
2016 Laboratory Instrumentation Informatics Summit
2016  Laboratory Instrumentation  Informatics Summit2016  Laboratory Instrumentation  Informatics Summit
2016 Laboratory Instrumentation Informatics SummitTamir Huberman
 
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...Bigfinite
 
The 2015 II-SDV conference in Nice, 20 - 21 April 2015
The 2015 II-SDV conference in Nice, 20 - 21 April 2015The 2015 II-SDV conference in Nice, 20 - 21 April 2015
The 2015 II-SDV conference in Nice, 20 - 21 April 2015Dr. Haxel Consult
 
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchAnalyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchMatthieu Schapranow
 
Ray poynter big data and advanced analytics
Ray poynter big data and advanced analyticsRay poynter big data and advanced analytics
Ray poynter big data and advanced analyticsMROC Japan
 
Industrial IoT based on SAP Technology
Industrial IoT based on SAP TechnologyIndustrial IoT based on SAP Technology
Industrial IoT based on SAP TechnologyGlen Koskela
 
The Internet of Food and Farm
The Internet of Food and FarmThe Internet of Food and Farm
The Internet of Food and FarmSjaak Wolfert
 
Cwin16 tls-faurecia predictive maintenance
Cwin16 tls-faurecia predictive maintenanceCwin16 tls-faurecia predictive maintenance
Cwin16 tls-faurecia predictive maintenanceCapgemini
 
Sbdc2018 master slidedeck-final
Sbdc2018 master slidedeck-finalSbdc2018 master slidedeck-final
Sbdc2018 master slidedeck-finalFreek Bomhof
 
Program lift2010 en_print_hd
Program lift2010 en_print_hdProgram lift2010 en_print_hd
Program lift2010 en_print_hdFing
 
Smart Data Slides: Leverage the IOT to Build a Smart Data Ecosystem
Smart Data Slides: Leverage the IOT to Build a Smart Data EcosystemSmart Data Slides: Leverage the IOT to Build a Smart Data Ecosystem
Smart Data Slides: Leverage the IOT to Build a Smart Data EcosystemDATAVERSITY
 
How to Beat Silicon Valley - TechSauce Bangkok 2017
How to Beat Silicon Valley - TechSauce Bangkok 2017How to Beat Silicon Valley - TechSauce Bangkok 2017
How to Beat Silicon Valley - TechSauce Bangkok 2017Vitaly Golomb
 
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...Digital Innovation Trends in Government Blockchain Machine Learning and Inter...
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...scoopnewsgroup
 
Cwin16 tls-datalab for scientists
Cwin16 tls-datalab for scientistsCwin16 tls-datalab for scientists
Cwin16 tls-datalab for scientistsCapgemini
 
Prophesee - NOAH19 Berlin
Prophesee - NOAH19 BerlinProphesee - NOAH19 Berlin
Prophesee - NOAH19 BerlinNOAH Advisors
 
Crap. Your Big Data Kitchen Is Broken.
Crap. Your Big Data Kitchen Is Broken.Crap. Your Big Data Kitchen Is Broken.
Crap. Your Big Data Kitchen Is Broken.Altoros
 
SAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesSAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesTwan van den Broek
 
Data Science Powered Apps for Internet of Things
Data Science Powered Apps for Internet of ThingsData Science Powered Apps for Internet of Things
Data Science Powered Apps for Internet of ThingsVMware Tanzu
 

Similaire à Event Applications: Real-Life Experiences at the Hasso Plattner Institute (20)

Big data analytics und machine learning die Herrschaft der Daten
Big data analytics und machine learning die Herrschaft der DatenBig data analytics und machine learning die Herrschaft der Daten
Big data analytics und machine learning die Herrschaft der Daten
 
2016 Laboratory Instrumentation Informatics Summit
2016  Laboratory Instrumentation  Informatics Summit2016  Laboratory Instrumentation  Informatics Summit
2016 Laboratory Instrumentation Informatics Summit
 
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...
How To Deliver Step Changes in Manufacturing Operations with Predictive Insig...
 
The 2015 II-SDV conference in Nice, 20 - 21 April 2015
The 2015 II-SDV conference in Nice, 20 - 21 April 2015The 2015 II-SDV conference in Nice, 20 - 21 April 2015
The 2015 II-SDV conference in Nice, 20 - 21 April 2015
 
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchAnalyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
 
Ray poynter big data and advanced analytics
Ray poynter big data and advanced analyticsRay poynter big data and advanced analytics
Ray poynter big data and advanced analytics
 
Industrial IoT based on SAP Technology
Industrial IoT based on SAP TechnologyIndustrial IoT based on SAP Technology
Industrial IoT based on SAP Technology
 
Fernando Meco, Director de Marketing de SAS.
Fernando Meco, Director de Marketing de SAS.Fernando Meco, Director de Marketing de SAS.
Fernando Meco, Director de Marketing de SAS.
 
The Internet of Food and Farm
The Internet of Food and FarmThe Internet of Food and Farm
The Internet of Food and Farm
 
Cwin16 tls-faurecia predictive maintenance
Cwin16 tls-faurecia predictive maintenanceCwin16 tls-faurecia predictive maintenance
Cwin16 tls-faurecia predictive maintenance
 
Sbdc2018 master slidedeck-final
Sbdc2018 master slidedeck-finalSbdc2018 master slidedeck-final
Sbdc2018 master slidedeck-final
 
Program lift2010 en_print_hd
Program lift2010 en_print_hdProgram lift2010 en_print_hd
Program lift2010 en_print_hd
 
Smart Data Slides: Leverage the IOT to Build a Smart Data Ecosystem
Smart Data Slides: Leverage the IOT to Build a Smart Data EcosystemSmart Data Slides: Leverage the IOT to Build a Smart Data Ecosystem
Smart Data Slides: Leverage the IOT to Build a Smart Data Ecosystem
 
How to Beat Silicon Valley - TechSauce Bangkok 2017
How to Beat Silicon Valley - TechSauce Bangkok 2017How to Beat Silicon Valley - TechSauce Bangkok 2017
How to Beat Silicon Valley - TechSauce Bangkok 2017
 
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...Digital Innovation Trends in Government Blockchain Machine Learning and Inter...
Digital Innovation Trends in Government Blockchain Machine Learning and Inter...
 
Cwin16 tls-datalab for scientists
Cwin16 tls-datalab for scientistsCwin16 tls-datalab for scientists
Cwin16 tls-datalab for scientists
 
Prophesee - NOAH19 Berlin
Prophesee - NOAH19 BerlinProphesee - NOAH19 Berlin
Prophesee - NOAH19 Berlin
 
Crap. Your Big Data Kitchen Is Broken.
Crap. Your Big Data Kitchen Is Broken.Crap. Your Big Data Kitchen Is Broken.
Crap. Your Big Data Kitchen Is Broken.
 
SAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use casesSAP Run Live Truck - SAP Cloud Platform use cases
SAP Run Live Truck - SAP Cloud Platform use cases
 
Data Science Powered Apps for Internet of Things
Data Science Powered Apps for Internet of ThingsData Science Powered Apps for Internet of Things
Data Science Powered Apps for Internet of Things
 

Plus de Matthieu Schapranow

Patient Journey in Oncology 2025: Molecular Tumour Boards in Practice
Patient Journey in Oncology 2025: Molecular Tumour Boards in PracticePatient Journey in Oncology 2025: Molecular Tumour Boards in Practice
Patient Journey in Oncology 2025: Molecular Tumour Boards in PracticeMatthieu Schapranow
 
How will AI affect the patient journey of the future?
How will AI affect the patient journey of the future?How will AI affect the patient journey of the future?
How will AI affect the patient journey of the future?Matthieu Schapranow
 
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital HealthAnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital HealthMatthieu Schapranow
 
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...Matthieu Schapranow
 
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...Matthieu Schapranow
 
In-Memory Apps for Precision Medicine
In-Memory Apps for Precision MedicineIn-Memory Apps for Precision Medicine
In-Memory Apps for Precision MedicineMatthieu Schapranow
 
ICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure
ICT Platform to Enable Consortium Work for Systems Medicine of Heart FailureICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure
ICT Platform to Enable Consortium Work for Systems Medicine of Heart FailureMatthieu Schapranow
 
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...Matthieu Schapranow
 
Analyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineAnalyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineMatthieu Schapranow
 
In-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems MedicineIn-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems MedicineMatthieu Schapranow
 
Analyze Genomes: In-memory Apps supporting Precision Medicine
Analyze Genomes: In-memory Apps supporting Precision MedicineAnalyze Genomes: In-memory Apps supporting Precision Medicine
Analyze Genomes: In-memory Apps supporting Precision MedicineMatthieu Schapranow
 
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Matthieu Schapranow
 
Analyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineAnalyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineMatthieu Schapranow
 
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...The Driver of the Healthcare System in the 21st Century: Real-world Applicati...
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...Matthieu Schapranow
 
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...Matthieu Schapranow
 
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...Matthieu Schapranow
 
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...Matthieu Schapranow
 
Festival of Genomics 2016 London: Analyze Genomes: Real-world Examples
Festival of Genomics 2016 London: Analyze Genomes: Real-world ExamplesFestival of Genomics 2016 London: Analyze Genomes: Real-world Examples
Festival of Genomics 2016 London: Analyze Genomes: Real-world ExamplesMatthieu Schapranow
 

Plus de Matthieu Schapranow (20)

Patient Journey in Oncology 2025: Molecular Tumour Boards in Practice
Patient Journey in Oncology 2025: Molecular Tumour Boards in PracticePatient Journey in Oncology 2025: Molecular Tumour Boards in Practice
Patient Journey in Oncology 2025: Molecular Tumour Boards in Practice
 
How will AI affect the patient journey of the future?
How will AI affect the patient journey of the future?How will AI affect the patient journey of the future?
How will AI affect the patient journey of the future?
 
AI in Oncology
AI in OncologyAI in Oncology
AI in Oncology
 
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital HealthAnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health
AnalyzeGenomes.com: A Federated In-Memory Database Platform for Digital Health
 
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...
Algorithmen statt Ärzte: Algorithmen statt Ärzte: Ersetzt Big Data künftig ...
 
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...
A Federated In-Memory Database Computing Platform Enabling Real-Time Analysis...
 
In-Memory Apps for Precision Medicine
In-Memory Apps for Precision MedicineIn-Memory Apps for Precision Medicine
In-Memory Apps for Precision Medicine
 
"When time matters..."
"When time matters...""When time matters..."
"When time matters..."
 
ICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure
ICT Platform to Enable Consortium Work for Systems Medicine of Heart FailureICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure
ICT Platform to Enable Consortium Work for Systems Medicine of Heart Failure
 
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
Gesundheit geht uns alle an: Smart Data ermöglicht passendere Entscheidungen...
 
Analyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineAnalyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision Medicine
 
In-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems MedicineIn-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems Medicine
 
Analyze Genomes: In-memory Apps supporting Precision Medicine
Analyze Genomes: In-memory Apps supporting Precision MedicineAnalyze Genomes: In-memory Apps supporting Precision Medicine
Analyze Genomes: In-memory Apps supporting Precision Medicine
 
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
 
Analyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision MedicineAnalyze Genomes Services for Precision Medicine
Analyze Genomes Services for Precision Medicine
 
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...The Driver of the Healthcare System in the 21st Century: Real-world Applicati...
The Driver of the Healthcare System in the 21st Century: Real-world Applicati...
 
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...
Festival of Genomics 2016 London: Mining and Processing of Unstructured Medic...
 
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...
Festival of Genomics 2016 London: Analyze Genomes: Modeling and Executing Gen...
 
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...
Festival of Genomics 2016 London: Analyze Genomes: A Federated In-Memory Comp...
 
Festival of Genomics 2016 London: Analyze Genomes: Real-world Examples
Festival of Genomics 2016 London: Analyze Genomes: Real-world ExamplesFestival of Genomics 2016 London: Analyze Genomes: Real-world Examples
Festival of Genomics 2016 London: Analyze Genomes: Real-world Examples
 

Dernier

WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 

Dernier (20)

WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 

Event Applications: Real-Life Experiences at the Hasso Plattner Institute

  • 1. Event Applications: Real-Life Experiences at the Hasso Plattner Institute Matthieu-P. Schapranow Hasso Plattner Institute May 18, 2010
  • 2. A Agenda d 2 ■ Key Facts about the Hasso Plattner Institute ■ I: Radio Frequency Identification in the European Pharma Industry ■ II: Smart Power Grids SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 3. Key Facts about the Hasso Plattner Institute Internals 3 ■ Founded as a public-private partnership in 1998 in Potsdam near Berlin, Germany , y ■ Institute belongs to the University of Potsdam ■ Ranked 1st in CHE 2009 ■ 500 B.Sc. and M.Sc. students ■ 10 professors, 92 PhD students f d ■ Course of study: IT Systems Engineering SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 4. Key Facts about the Hasso Plattner Institute y Research Group Hasso Plattner / Alexander Zeier 4 ■ Research focus: real customer data for enterprise software and design of complex applications g p pp □ In-Memory Data Management for Enterprise Applications □ Human-Centered Software Design and Engineering □ Maintenance and Evolution of SOA Systems □ Integration of RFID Technology in Enterprise Platforms ■ Cooperations □ Academic: Stanford, MIT, etc. □ Industry: SAP, Siemens, Audi, etc. SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 5. Key Facts about the Hasso Plattner Institute What can we do for you? 5 ■ Network between Industry and Academic, e.g. European section of the g p ■ Curriculum □ RFID seminars for graduate / undergraduate students □ Trends & concepts lecture (Prof. Hasso Plattner) ■ Enterprise Application Architecture Laboratory □ Enterprise software, e.g. SAP, Microsoft, etc. □ Equipped RFID Lab, e.g. deister electronic, noFilis, etc. ■ Concrete sizing and simulation of customer supply chains SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 6. I: European Pharma Supply Chain Anti-Counterfeiting 6 SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 7. European Pharma Supply Chain Anti-Counterfeiting (cont’d) 7 SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 8. European Pharma Supply Chain Business-level Security 8 SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 9. European Pharma Supply Chain Business-level Security 9 SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 10. European Pharma Supply Chain Data Sizing Assumptions 10 ■ 14,9 billion pharmaceuticals on prescription per year ■ ~9 read events per supply chain □ 1 x producer (create + out) □ 2 x distributors (in + out) ( ) □ 1 x pharmacy (in + sell) □ 1 x customer (check) ■ Assuming 220 working days with 14 hours per day production results in ~12k events/second Source: Interview with Stefan Führing (Pharmaceuticals, Enterprise and Industry Directorate-General European Commission) SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 11. II S II: Smart P Power G id Grids 11 ■ Real-time sensor data ■ Outage notification ■ Power quality monitoring ■ Remote device management g ■ Power peak control ■ ... SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 12. Smart Power Grids Aspects 12 ■ Device management □ Meter reading ■ Customer service □ Disconnection/ reconnection □ Event mgmt. ■ Conceptual work □ Performance & risk evaluation i k l ti ■ Energy consumption □ Sustainability SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 13. Smart Power Grids I Involved R l l d Roles 13 Smart Grid Smart Metering SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 14. Smart Power Grids S System A hi Architecture 14 ■ 100M households ■ Aggregators for 10k-50k households ■ Preprocessing-as-a-Service ■ Billing, remote device management, etc. SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 15. Smart Power Grids D Data P Processing N d i Needs 15 365 days x 96 events x 100 M households = 3.504 B events per year Thursday Thursday Friday Friday Saturday Saturday Tuesday Tuesday 0am -6am 12pm -6pm 0am -6am 12pm -6pm 0am -6am 12pm -6pm 0am -6am 12pm -6pm Thursday Thursday Friday Friday Saturday Saturday Tuesday Tuesday 6am -12pm 6pm -0am 6am -12pm 6pm -0am 6am -12pm 6pm -0am 6am -12pm 6pm -0am Day 1 Day 2 Day 3 Day 30 24 Reads 24 Reads 24 Reads 24 Reads Time Slots on Business System M-F M-F M-F M-F Sat-Sun Sat-Sun Sat-Sun Sat-Sun 0am -6am 6am -12pm 12pm -6pm 6pm -0am 0am -6am 6am -12pm 12pm -6pm 6pm -0am SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010
  • 16. Thank you for your interest! K Keep i contact with us. in ih 16 See you at the follow on discussion OR12534 at 5:00 p.m. in room 7, ecosystem and partner center 7 Responsible: Deputy Prof. of Prof. Hasso Plattner Dr. Alexander Zeier Matthieu-P. Schapranow, M.Sc. zeier@hpi.uni-potsdam.de matthieu.schapranow@hpi.uni-potsdam.de Hasso Plattner Institute Enterprise Platform & Integration Concepts Matthieu-P. Schapranow August Bebel Str. August-Bebel-Str 88 14482 Potsdam, Germany SAPPHIRE '10, Event Applications: Real-Life Experiences at the HPI, Schapranow, May 18, 2010