SlideShare a Scribd company logo
[object Object],[object Object],Kor Tops Ronald van den Heuvel Ronald Batenburg Slinger Roijackers Juan Hernández Colomina Business Informatics Master Thesis  Thursday, 29th of April 2010
[object Object],[object Object],[object Object],[object Object],[object Object],Index Slide
Index Slide ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research Scope Slide Research Description ICT Trends Business Trends IT Consumerization Enterprise 2.0 iPhone Kindle Chrome OS Internet Devices Real-time Web SOA Social Media Web Services Network Capacity Climate Friendly Compliance Extended Value Chains Prosumers IT Dependance Collaboration From Push to Pull Globalization Transparency
Research Scope Slide Research Description ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research Scope Slide Research Description Source:  Gartner 2009
Research Scope Slide Research Description Source: Gartner Hype Cycle, July 2009
Research Questions Slide Research Description Research Questions Group 1: Definition of Cloud Computing  What is Cloud Computing? How is it defined by scientists, ICT vendors, consultants, analysts and commercial publications? What types of solutions are available? What are its main benefits and risks? What type of cloud solutions are being currently offered in the market?  Research Questions Group 2: The Dutch Healthcare Sector  What are the current trends, challenges and opportunities in the Dutch Healthcare sector? What is the current role of ICT in the Dutch Healthcare sector? What are the main policies and legislations affecting the use of ICT in Dutch Healthcare organizations? Research Questions Group 3: Cloud Computing in NL Healthcare  What are the most relevant opportunities and challenges for adopting Cloud Computing in the Dutch Healthcare sector? Which type of Cloud Computing solutions fit within the current legislative context and political agenda? How do current regulations facilitate or difficult the adoption of Cloud Computing?
Research Approach & Methods Slide Research Description Phase # Type of Questions Research Approach Research Methods Deliverables 1 What is ...? Conceptual-Analytical ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2 What is ...? Conceptual-Analytical ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],3 How does...? Design Science ,[object Object],[object Object],[object Object],[object Object]
Index Slide ,[object Object],[object Object],[object Object],[object Object],[object Object]
Phase 1 Results Slide Research Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Component Extracted from definition Applications Berkeley University As-a-service / Service Based Berkeley University, IEEE, Gartner, NIST Internet / Ubiquitous Network Access Berkeley University, IEEE, Media, Gartner, Capgemini, Accenture, NIST Supporting Infrastructure Berkeley University Large Amounts of Resources Telefonica Easily Usable / Unified Presentation / Self-service Telefonica, Melbourne University, Media, Forrester, NIST Easy Accessible / On-demand Telefonica, IEEE, Media, Capgemini, NIST Virtualized Resources / Assembled Virtually Telefonica, Melbourne University, IEEE, Media, Capgemini Dynamic / Scalable / Elastic / Automatic Workload Distribution / Workflow Management Telefonica, Melbourne University, IEEE, Media, Forrester, Gartner, Capgemini, Accenture, NIST Resource Optimization / Pooling / Shared Resources / Multi-tenant Telefonica, Media, Forrester, Gartner, Capgemini, NIST Pay-per-use / Usage Based Pricing & Metering Telefonica, Media, Gartner, Capgemini, NIST Customized SLAs / SLA based Telefonica, Melbourne University Location Independent Media Lack of Ownership / Offsite / From Third Party Media, Capgemini, Accenture
Phase 1 Results Slide Research Findings Cloud Computing Definition Cloud Computing is the  delivery model  where  on-demand elastic IT capabilities  are offered  as-a-service  through the Internet following a  usage based pricing model .  SaaS Service Model Other models:  - Deployment Model: External vs Internal  - Access Model: Private vs Public - Hybrids, Inclusions, Aggregations, etc PaaS IaaS Flexibility Abstraction Use Patterns Use Pattern Examples Resource Optimization PresidioHealth (GoGrid), Rentokil (Google Apps), LA County (Google Apps) Scalability & Elasticity PresidioHealth (Appistry IQ Cloud), Wordpress (MS Azure), Twitter (Amazon S3) HPC NYT (Amazon EC2), Harvard Medical School (Amazon EC2 & Oracle), BT (Amazon EC2) Fail-over / Backup 37signals (Amazon S3), Zmanda (Amazon S3), Jungle Disk (Amazon S3) Faster time-to-market PresidioHealth (Appistry), Siemens (Windows Azure), SugarCRM (Windows Azure) External Knowledge GoGrid (Windows Azure), Associated Press (Windows Azure), Rover (Rackspace Cloud)
Phase 1 Results Slide Research Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phase 2 Results Slide Research Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],Economic Sustainability = do more and better with less ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Improve Quality & Reduce Costs
Phase 3 Results Slide Research Findings Cloud Features Enforced By Delimited By Directly Indirectly On-demand ZSP-CON-01, ZSP-BSC-01, ZSP-BSC-02, GBZ-5.1, GBZ-5.7 ZSP-CON-11 Elastic ZSP-CON-01, ZSP-BSC-01, ZSP-BSC-02, GBZ-5.1, GBZ-5.7 ZSP-CON-11 As-a-service ZSP-BVL-01 ZSP-BVL-02 ZSP-BVL-03 ZSP-BVL-06 ZSP-BVL-07 ZSP-BVL-08, ZSP-BSC-06, ZSP-BSC-07, ZSP-BSC-08, ZSP-ORG-01, ZSP-BEH-07, ZSP-BEH-08, GBZ-1.1, GBZ-1.2, GBZ.3.8, GBZ-3.10, GBZ-4.1, GBZ-4.2, GBZ-4.4, GBZ-4.6, GBZ-4.7, GBZ-4.8 GBZ-6.1, GBZ-6.2, GBZ-6.3 ZSP-GBO-01 & ZSP-GBO-02, ZSP-RSP-01, ZSP-RSP-03, ZSP-BEH-03, ZSP-BEH-04, ZSP-BEH-05 Internet delivery ZSP-CON-03, ZSP-CON-07 ZSP-DNS-01, ZSP-DNS-02, ZSP-DNS-04, ZSP-DNS-05, ZSP-DNS-06, ZSP-CON-05, ZSP-CON-06, ZSP-CON-08, ZSP-CON-09, ZSP-CON-10, ZSP-BVL-05, ZSP-RSP-01 & ZSP-RSP-03 Usage-based pricing not applicable not applicable not applicable
Index Slide ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion Slide Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion Slide Conclusion
Conclusion Slide Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Index Slide ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research Validity & Contribution Slide Validity & Contribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions

More Related Content

What's hot

Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
AIRCC Publishing Corporation
 
Pocket Data Mining: The Next Generation in Predictive Analytics
Pocket Data Mining: The Next Generation in Predictive AnalyticsPocket Data Mining: The Next Generation in Predictive Analytics
Pocket Data Mining: The Next Generation in Predictive Analytics
Mohamed Medhat Gaber
 
A Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertA Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
A Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
Wansoo Im
 
Resilience in the Cyber Era
Resilience in the Cyber EraResilience in the Cyber Era
Resilience in the Cyber Era
Booz Allen Hamilton
 
Facilitating Scientific Collaborations by Delegating Identity Management
Facilitating Scientific Collaborations by Delegating Identity ManagementFacilitating Scientific Collaborations by Delegating Identity Management
Facilitating Scientific Collaborations by Delegating Identity Management
Von Welch
 
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
Artificial Intelligence Institute at UofSC
 
Challenges and outlook with Big Data
Challenges and outlook with Big Data Challenges and outlook with Big Data
Challenges and outlook with Big Data
IJCERT JOURNAL
 
Telepresence - Not just for meetings any more
Telepresence - Not just for meetings any moreTelepresence - Not just for meetings any more
Telepresence - Not just for meetings any moreDave Martella
 
Crowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
Crowdsourcing Approaches to Big Data Curation - Rio Big Data MeetupCrowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
Crowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
Edward Curry
 
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
AIRCC Publishing Corporation
 
Cyber risk at the edge: current and future trends on cyber risk analytics and...
Cyber risk at the edge: current and future trends on cyber risk analytics and...Cyber risk at the edge: current and future trends on cyber risk analytics and...
Cyber risk at the edge: current and future trends on cyber risk analytics and...
Petar Radanliev
 
Social Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug UsageSocial Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug Usage
ijtsrd
 
Activity Streaming as Information X-Docking
Activity Streaming as Information X-DockingActivity Streaming as Information X-Docking
Activity Streaming as Information X-DockingKai Riemer
 
Motamarri etal 2017 why empowerment in big data analytics
Motamarri etal 2017 why empowerment in big data analyticsMotamarri etal 2017 why empowerment in big data analytics
Motamarri etal 2017 why empowerment in big data analytics
University of Wollongong, Australia
 
Nectar cloud workshop ndj 20110331.2
Nectar cloud workshop ndj 20110331.2Nectar cloud workshop ndj 20110331.2
Nectar cloud workshop ndj 20110331.2Nick Jones
 
A Semantics-based Approach to Machine Perception
A Semantics-based Approach to Machine PerceptionA Semantics-based Approach to Machine Perception
A Semantics-based Approach to Machine PerceptionCory Andrew Henson
 
Ai open powermeetupmarch25th
Ai open powermeetupmarch25thAi open powermeetupmarch25th
Ai open powermeetupmarch25th
IBM
 
Ncct Ieee Software Abstract Collection Volume 1 50+ Abst
Ncct   Ieee Software Abstract Collection Volume 1   50+ AbstNcct   Ieee Software Abstract Collection Volume 1   50+ Abst
Ncct Ieee Software Abstract Collection Volume 1 50+ Abst
ncct
 
IBM Think Milano
IBM Think MilanoIBM Think Milano
IBM Think Milano
ATMOSPHERE .
 
Acceliant white paper_edc_and_epro
Acceliant white paper_edc_and_eproAcceliant white paper_edc_and_epro
Acceliant white paper_edc_and_eproTrianz
 

What's hot (20)

Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges ...
 
Pocket Data Mining: The Next Generation in Predictive Analytics
Pocket Data Mining: The Next Generation in Predictive AnalyticsPocket Data Mining: The Next Generation in Predictive Analytics
Pocket Data Mining: The Next Generation in Predictive Analytics
 
A Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertA Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
A Framework for Geospatial Web Services for Public Health by Dr. Leslie Lenert
 
Resilience in the Cyber Era
Resilience in the Cyber EraResilience in the Cyber Era
Resilience in the Cyber Era
 
Facilitating Scientific Collaborations by Delegating Identity Management
Facilitating Scientific Collaborations by Delegating Identity ManagementFacilitating Scientific Collaborations by Delegating Identity Management
Facilitating Scientific Collaborations by Delegating Identity Management
 
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
Data Processing and Semantics for Advanced Internet of Things (IoT) Applicati...
 
Challenges and outlook with Big Data
Challenges and outlook with Big Data Challenges and outlook with Big Data
Challenges and outlook with Big Data
 
Telepresence - Not just for meetings any more
Telepresence - Not just for meetings any moreTelepresence - Not just for meetings any more
Telepresence - Not just for meetings any more
 
Crowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
Crowdsourcing Approaches to Big Data Curation - Rio Big Data MeetupCrowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
Crowdsourcing Approaches to Big Data Curation - Rio Big Data Meetup
 
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
PROVIDES AN APPROACH BASED ON ADAPTIVE FORWARDING AND LABEL SWITCHING TO IMPR...
 
Cyber risk at the edge: current and future trends on cyber risk analytics and...
Cyber risk at the edge: current and future trends on cyber risk analytics and...Cyber risk at the edge: current and future trends on cyber risk analytics and...
Cyber risk at the edge: current and future trends on cyber risk analytics and...
 
Social Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug UsageSocial Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug Usage
 
Activity Streaming as Information X-Docking
Activity Streaming as Information X-DockingActivity Streaming as Information X-Docking
Activity Streaming as Information X-Docking
 
Motamarri etal 2017 why empowerment in big data analytics
Motamarri etal 2017 why empowerment in big data analyticsMotamarri etal 2017 why empowerment in big data analytics
Motamarri etal 2017 why empowerment in big data analytics
 
Nectar cloud workshop ndj 20110331.2
Nectar cloud workshop ndj 20110331.2Nectar cloud workshop ndj 20110331.2
Nectar cloud workshop ndj 20110331.2
 
A Semantics-based Approach to Machine Perception
A Semantics-based Approach to Machine PerceptionA Semantics-based Approach to Machine Perception
A Semantics-based Approach to Machine Perception
 
Ai open powermeetupmarch25th
Ai open powermeetupmarch25thAi open powermeetupmarch25th
Ai open powermeetupmarch25th
 
Ncct Ieee Software Abstract Collection Volume 1 50+ Abst
Ncct   Ieee Software Abstract Collection Volume 1   50+ AbstNcct   Ieee Software Abstract Collection Volume 1   50+ Abst
Ncct Ieee Software Abstract Collection Volume 1 50+ Abst
 
IBM Think Milano
IBM Think MilanoIBM Think Milano
IBM Think Milano
 
Acceliant white paper_edc_and_epro
Acceliant white paper_edc_and_eproAcceliant white paper_edc_and_epro
Acceliant white paper_edc_and_epro
 

Viewers also liked

Feb 2012 Mutual Funds Smart Investing Slides
Feb 2012 Mutual Funds Smart Investing SlidesFeb 2012 Mutual Funds Smart Investing Slides
Feb 2012 Mutual Funds Smart Investing Slidesemmetoneallibrary
 
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian King
 
Thesis Defense Presentation
Thesis Defense PresentationThesis Defense Presentation
Thesis Defense Presentation
JamesDavie
 
Thesis presentation
Thesis presentationThesis presentation
Thesis presentation
Sebastian Hellmann
 
Thesis Defense Presentation - The WhiteWave Foods Company
Thesis Defense Presentation - The WhiteWave Foods CompanyThesis Defense Presentation - The WhiteWave Foods Company
Thesis Defense Presentation - The WhiteWave Foods Company
Valeria Borovova
 
My Thesis Defense Presentation
My Thesis Defense PresentationMy Thesis Defense Presentation
My Thesis Defense Presentation
Onur Taylan
 
Thesis Defense Presentation
Thesis Defense PresentationThesis Defense Presentation
Thesis Defense Presentation
osideloc
 
Tips on how to defend your thesis
Tips on how to defend your thesisTips on how to defend your thesis
Tips on how to defend your thesis
Miriam Pananaliksik
 
Powerpoint presentation M.A. Thesis Defence
Powerpoint presentation M.A. Thesis DefencePowerpoint presentation M.A. Thesis Defence
Powerpoint presentation M.A. Thesis DefenceCatie Chase
 
Dissertation oral defense presentation
Dissertation   oral defense presentationDissertation   oral defense presentation
Dissertation oral defense presentationDr. Naomi Mangatu
 
Thesis Power Point Presentation
Thesis Power Point PresentationThesis Power Point Presentation
Thesis Power Point Presentationriddhikapandya1985
 
Build Features, Not Apps
Build Features, Not AppsBuild Features, Not Apps
Build Features, Not Apps
Natasha Murashev
 

Viewers also liked (12)

Feb 2012 Mutual Funds Smart Investing Slides
Feb 2012 Mutual Funds Smart Investing SlidesFeb 2012 Mutual Funds Smart Investing Slides
Feb 2012 Mutual Funds Smart Investing Slides
 
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
 
Thesis Defense Presentation
Thesis Defense PresentationThesis Defense Presentation
Thesis Defense Presentation
 
Thesis presentation
Thesis presentationThesis presentation
Thesis presentation
 
Thesis Defense Presentation - The WhiteWave Foods Company
Thesis Defense Presentation - The WhiteWave Foods CompanyThesis Defense Presentation - The WhiteWave Foods Company
Thesis Defense Presentation - The WhiteWave Foods Company
 
My Thesis Defense Presentation
My Thesis Defense PresentationMy Thesis Defense Presentation
My Thesis Defense Presentation
 
Thesis Defense Presentation
Thesis Defense PresentationThesis Defense Presentation
Thesis Defense Presentation
 
Tips on how to defend your thesis
Tips on how to defend your thesisTips on how to defend your thesis
Tips on how to defend your thesis
 
Powerpoint presentation M.A. Thesis Defence
Powerpoint presentation M.A. Thesis DefencePowerpoint presentation M.A. Thesis Defence
Powerpoint presentation M.A. Thesis Defence
 
Dissertation oral defense presentation
Dissertation   oral defense presentationDissertation   oral defense presentation
Dissertation oral defense presentation
 
Thesis Power Point Presentation
Thesis Power Point PresentationThesis Power Point Presentation
Thesis Power Point Presentation
 
Build Features, Not Apps
Build Features, Not AppsBuild Features, Not Apps
Build Features, Not Apps
 

Similar to Thesis Defense MBI

Science Gateway Canvas
Science Gateway CanvasScience Gateway Canvas
Science Gateway Canvas
Shayan Shahand
 
Cloud computing and health care - Facing the Future
Cloud computing and health care - Facing the FutureCloud computing and health care - Facing the Future
Cloud computing and health care - Facing the Future
Jerry Fahrni
 
Grid – Distributed Computing at Scale
Grid – Distributed Computing at ScaleGrid – Distributed Computing at Scale
Grid – Distributed Computing at Scale
royans
 
OpenGridForum - Distributed Computing at Scale
OpenGridForum - Distributed Computing at ScaleOpenGridForum - Distributed Computing at Scale
OpenGridForum - Distributed Computing at Scale
V Sanchez
 
The potential of the cloud
The potential of the cloudThe potential of the cloud
The potential of the cloudJisc
 
The Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big DataThe Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big Data
Philip Bourne
 
Future Profiles of e-Research
Future Profiles of e-Research Future Profiles of e-Research
Future Profiles of e-Research
Ian Miles
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
 
Smart Data for Behavioural Change: Towards Energy Efficient Buildings
Smart Data for Behavioural Change: Towards Energy Efficient BuildingsSmart Data for Behavioural Change: Towards Energy Efficient Buildings
Smart Data for Behavioural Change: Towards Energy Efficient Buildings
Anna Fensel
 
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
IBM_Info_Management
 
Data analytics - May 2016
Data analytics - May 2016Data analytics - May 2016
Data analytics - May 2016
Mark Yunger
 
Webinar slides - Internet of Things Convergence: Preparatory Studies
Webinar slides - Internet of Things Convergence: Preparatory StudiesWebinar slides - Internet of Things Convergence: Preparatory Studies
Webinar slides - Internet of Things Convergence: Preparatory Studies
Creative Industries KTN
 
The Internet of Things: What's next?
The Internet of Things: What's next? The Internet of Things: What's next?
The Internet of Things: What's next?
PayamBarnaghi
 
Innovation at the Edge_Final
Innovation at the Edge_FinalInnovation at the Edge_Final
Innovation at the Edge_FinalChris Waller
 
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris WallerPistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
Pistoia Alliance
 
Intro: UBI-SERV
Intro: UBI-SERVIntro: UBI-SERV
Intro: UBI-SERV
Iiro Jantunen
 
PROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked DataPROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked Data
Semantic Web Company
 
The NIH Data Commons - BD2K All Hands Meeting 2015
The NIH Data Commons -  BD2K All Hands Meeting 2015The NIH Data Commons -  BD2K All Hands Meeting 2015
The NIH Data Commons - BD2K All Hands Meeting 2015
Vivien Bonazzi
 
IRJET- Advanced Cloud in E-Libraries
IRJET- Advanced Cloud in E-LibrariesIRJET- Advanced Cloud in E-Libraries
IRJET- Advanced Cloud in E-Libraries
IRJET Journal
 
FAIR History and the Future
FAIR History and the FutureFAIR History and the Future
FAIR History and the Future
Carole Goble
 

Similar to Thesis Defense MBI (20)

Science Gateway Canvas
Science Gateway CanvasScience Gateway Canvas
Science Gateway Canvas
 
Cloud computing and health care - Facing the Future
Cloud computing and health care - Facing the FutureCloud computing and health care - Facing the Future
Cloud computing and health care - Facing the Future
 
Grid – Distributed Computing at Scale
Grid – Distributed Computing at ScaleGrid – Distributed Computing at Scale
Grid – Distributed Computing at Scale
 
OpenGridForum - Distributed Computing at Scale
OpenGridForum - Distributed Computing at ScaleOpenGridForum - Distributed Computing at Scale
OpenGridForum - Distributed Computing at Scale
 
The potential of the cloud
The potential of the cloudThe potential of the cloud
The potential of the cloud
 
The Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big DataThe Commons: Leveraging the Power of the Cloud for Big Data
The Commons: Leveraging the Power of the Cloud for Big Data
 
Future Profiles of e-Research
Future Profiles of e-Research Future Profiles of e-Research
Future Profiles of e-Research
 
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare SystemSurvey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
 
Smart Data for Behavioural Change: Towards Energy Efficient Buildings
Smart Data for Behavioural Change: Towards Energy Efficient BuildingsSmart Data for Behavioural Change: Towards Energy Efficient Buildings
Smart Data for Behavioural Change: Towards Energy Efficient Buildings
 
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
Leveraging compute power at the edge - M2M solutions with Informix in the IoT...
 
Data analytics - May 2016
Data analytics - May 2016Data analytics - May 2016
Data analytics - May 2016
 
Webinar slides - Internet of Things Convergence: Preparatory Studies
Webinar slides - Internet of Things Convergence: Preparatory StudiesWebinar slides - Internet of Things Convergence: Preparatory Studies
Webinar slides - Internet of Things Convergence: Preparatory Studies
 
The Internet of Things: What's next?
The Internet of Things: What's next? The Internet of Things: What's next?
The Internet of Things: What's next?
 
Innovation at the Edge_Final
Innovation at the Edge_FinalInnovation at the Edge_Final
Innovation at the Edge_Final
 
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris WallerPistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
Pistoia Alliance US Conference 2015 - 1.1.2 Innovation in Pharma - Chris Waller
 
Intro: UBI-SERV
Intro: UBI-SERVIntro: UBI-SERV
Intro: UBI-SERV
 
PROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked DataPROPEL . Austrian's Roadmap for Enterprise Linked Data
PROPEL . Austrian's Roadmap for Enterprise Linked Data
 
The NIH Data Commons - BD2K All Hands Meeting 2015
The NIH Data Commons -  BD2K All Hands Meeting 2015The NIH Data Commons -  BD2K All Hands Meeting 2015
The NIH Data Commons - BD2K All Hands Meeting 2015
 
IRJET- Advanced Cloud in E-Libraries
IRJET- Advanced Cloud in E-LibrariesIRJET- Advanced Cloud in E-Libraries
IRJET- Advanced Cloud in E-Libraries
 
FAIR History and the Future
FAIR History and the FutureFAIR History and the Future
FAIR History and the Future
 

Recently uploaded

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 

Recently uploaded (20)

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 

Thesis Defense MBI

  • 1.
  • 2.
  • 3.
  • 4. Research Scope Slide Research Description ICT Trends Business Trends IT Consumerization Enterprise 2.0 iPhone Kindle Chrome OS Internet Devices Real-time Web SOA Social Media Web Services Network Capacity Climate Friendly Compliance Extended Value Chains Prosumers IT Dependance Collaboration From Push to Pull Globalization Transparency
  • 5.
  • 6. Research Scope Slide Research Description Source: Gartner 2009
  • 7. Research Scope Slide Research Description Source: Gartner Hype Cycle, July 2009
  • 8. Research Questions Slide Research Description Research Questions Group 1: Definition of Cloud Computing What is Cloud Computing? How is it defined by scientists, ICT vendors, consultants, analysts and commercial publications? What types of solutions are available? What are its main benefits and risks? What type of cloud solutions are being currently offered in the market? Research Questions Group 2: The Dutch Healthcare Sector What are the current trends, challenges and opportunities in the Dutch Healthcare sector? What is the current role of ICT in the Dutch Healthcare sector? What are the main policies and legislations affecting the use of ICT in Dutch Healthcare organizations? Research Questions Group 3: Cloud Computing in NL Healthcare What are the most relevant opportunities and challenges for adopting Cloud Computing in the Dutch Healthcare sector? Which type of Cloud Computing solutions fit within the current legislative context and political agenda? How do current regulations facilitate or difficult the adoption of Cloud Computing?
  • 9.
  • 10.
  • 11.
  • 12. Phase 1 Results Slide Research Findings Cloud Computing Definition Cloud Computing is the delivery model where on-demand elastic IT capabilities are offered as-a-service through the Internet following a usage based pricing model . SaaS Service Model Other models: - Deployment Model: External vs Internal - Access Model: Private vs Public - Hybrids, Inclusions, Aggregations, etc PaaS IaaS Flexibility Abstraction Use Patterns Use Pattern Examples Resource Optimization PresidioHealth (GoGrid), Rentokil (Google Apps), LA County (Google Apps) Scalability & Elasticity PresidioHealth (Appistry IQ Cloud), Wordpress (MS Azure), Twitter (Amazon S3) HPC NYT (Amazon EC2), Harvard Medical School (Amazon EC2 & Oracle), BT (Amazon EC2) Fail-over / Backup 37signals (Amazon S3), Zmanda (Amazon S3), Jungle Disk (Amazon S3) Faster time-to-market PresidioHealth (Appistry), Siemens (Windows Azure), SugarCRM (Windows Azure) External Knowledge GoGrid (Windows Azure), Associated Press (Windows Azure), Rover (Rackspace Cloud)
  • 13.
  • 14.
  • 15. Phase 3 Results Slide Research Findings Cloud Features Enforced By Delimited By Directly Indirectly On-demand ZSP-CON-01, ZSP-BSC-01, ZSP-BSC-02, GBZ-5.1, GBZ-5.7 ZSP-CON-11 Elastic ZSP-CON-01, ZSP-BSC-01, ZSP-BSC-02, GBZ-5.1, GBZ-5.7 ZSP-CON-11 As-a-service ZSP-BVL-01 ZSP-BVL-02 ZSP-BVL-03 ZSP-BVL-06 ZSP-BVL-07 ZSP-BVL-08, ZSP-BSC-06, ZSP-BSC-07, ZSP-BSC-08, ZSP-ORG-01, ZSP-BEH-07, ZSP-BEH-08, GBZ-1.1, GBZ-1.2, GBZ.3.8, GBZ-3.10, GBZ-4.1, GBZ-4.2, GBZ-4.4, GBZ-4.6, GBZ-4.7, GBZ-4.8 GBZ-6.1, GBZ-6.2, GBZ-6.3 ZSP-GBO-01 & ZSP-GBO-02, ZSP-RSP-01, ZSP-RSP-03, ZSP-BEH-03, ZSP-BEH-04, ZSP-BEH-05 Internet delivery ZSP-CON-03, ZSP-CON-07 ZSP-DNS-01, ZSP-DNS-02, ZSP-DNS-04, ZSP-DNS-05, ZSP-DNS-06, ZSP-CON-05, ZSP-CON-06, ZSP-CON-08, ZSP-CON-09, ZSP-CON-10, ZSP-BVL-05, ZSP-RSP-01 & ZSP-RSP-03 Usage-based pricing not applicable not applicable not applicable
  • 16.
  • 17.
  • 19.
  • 20.
  • 21.

Editor's Notes

  1. Wellcome everyone Introduce me Mention Enovation / Utrecht advisors
  2. This is the structure of my presentation
  3. Scope (Why), Questions (What), Approach & Methods (How)
  4. IT TRENDS Service orientation of consumers and enterprise IT solutions Capable of even more and more with high demands on performance and availability
  5. Ecosystems instead of silos A lot of waste in energy and resources by having to have your own infra Is like trying to create your own energy yourself => highly unproductive and inefficient
  6. These trends are also acknowledge by Gartner placing Cloud Computing as the number 1 strategic priority area for 2010
  7. However the hypy is obvious. Gartner Hype Cycle, 2009: Still at the peak of inflated expectations with 2 to 5 years to mainstream adoption
  8. Our main research question is if it is possible to use cloud computing in the Dutch healthcare sector. For this reason I divided the research in three main areas: cloud, healthcare NL, and a third one linking the findings from these two phases in an meta-artifact
  9. I applied Jarvinen framework to determine the most appropriate research approach and methods according to the research question that we aim to answer
  10. From an interpretative perspective we have considered how all relevant stakeholder define the concept of cloud computing There are 100s of definitions with sometimes contradictory concepts. Berkeley: Does not emphasize abstraction of infrastructure explicitly & excludes private clouds from the definition. Telefonica: Does not distinguish cloud services from clouds and does not provide definitive economic implications
  11. Based on existing definitions from scientific papers, NIST, IT analysts and consultants, and media. On-demand: accessible and ready when needed, low deployment times Computing Capabilities: software, hardware, platforms, etc as-a-service: regulated by SLA, payment for delivered services Internet: delivered electronically Usage based pricing: pay only for what you use. Excluded from definition: hardware virtualization, self-service interface, optimum resource utilization Combinations are feasible for each specific situation
  12. Based on existing definitions from scientific papers, NIST, IT analysts and consultants, and media. On-demand: accessible and ready when needed, low deployment times Computing Capabilities: software, hardware, platforms, etc as-a-service: regulated by SLA, payment for delivered services Internet: delivered electronically Usage based pricing: pay only for what you use. Excluded from definition: hardware virtualization, self-service interface, optimum resource utilization Combinations are feasible for each specific situation
  13. (1) 9% of all jobs in the EU, More than 6% of EU GDP, Citizens are both consuming and funding services (2) NL: 40% public and 60% private financed (one of top 3 most private systems in the EU) Private Funding: (+) market forces act (e.g. price competition, etc) but (-) low profitable services are excluded (e.g. research for rare diseases) (3) To protect citizen’s (e.g. H1N1 virus spread). Errors make it quick to the media (4) Thus also increasing costs => cost grow faster than GDP growth rate.
  14. It is certainly possible to deploy compliant cloud solutions See HIPAA / PCI case studies like Presidio Health Smart constructions can leverage cloud solutions while maintaining compliance with laws and regulations Hybrid models for non-mission critical data or when persistent data is maintained on-premises
  15. SaaS for Healthcare in the US (HIPAA & PCI)Focus on agility to improve time-to-market (development of web-based apps)Scaling to meet peaks in demand 24/7Approach: Open source software (Spring Framework, Tomcat, Java) & Oracle database on an hybrid infrastructure IaaS + PaaS + on-premises Compliance HIPAA & PCI => data in own infrastructure (DB server) The other servers do NOT store any data Internet Application server have each its own firewall Appistry Application Servers: no internet access, distributed on 3 boxes, managed by Appistry platform.  Comodo firewall scanning Presidio Benefits from using the cloud Increased computing power by 70% Lowered total IT costs: reduced physical space (lower cost & complexity) at collocation, usage based model (resource optimization) Increased scalability and reliability: on-demand Maintained security: persistent data in collocated server, limited internet access to web servers.  Passing some of the savings to customers: lower selling costs for apps.
  16. Analysis theory = phase 1 and 2 Design theory = phase 3
  17. Thank you for your attention. Now we have some time to answer your questions.