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1 12/09/2011
Internet of Services (IoS) is an innovative vision of the Internet where “everything”
(mainly ICT solutions) is available as a service: software applications, tools to
develop software, platforms to run software for data/knowledge storage, processing
and communication. IoS is mapped naturally with Internet of Things (IoT).
Web-Services represent a key factor in the Internet of Services vision: they enable
implementation of the Service Oriented Approach (SOA), making accessible
several functionalities among different applications/platforms. This approach
supports interoperability and is independent on platforms and application domain
and strikes a more efficient balance between local ( the growing number of sensors
and actuators) and global ( computationally intensive modeling ).
The challenge and opportunity of “big data”
ICT & Internet-of-Services
2 12/09/2011
A more rational Water Resource Management is both an ethic and economic
imperative ( 220.000 new consumers each day, multinational companies enter the
market )
Internet of Services may represent a successful paradigm for implementing a more
effective and efficient Integrated Water Resource Management (IWRN)
Several ICT solutions can be combined and integrated to realize such a vision:
• Supervisory Control And Data Acquisition (SCADA) systems for monitoring
• Web-based Geographic Information System (Web-GIS)
• Database and warehouse systems
• Data Mining tools and Decision Support Systems for demand forecasting, leaks
detection/localization, system rehabilitation/expansion strategy
Web-Services for Water Resources Management
3 12/09/2011
Each component of the IWRM can
be realized as a web-service,
enabling interoperability among
the different systems.
According to the Internet of Things
vision, sensors and data sources,
decision making and users, are
placed at “the edges of the
network”, while services for data
integration and elaboration
represent its “core”.
ICT for Integrated Water Resource Management
4 12/09/2011
Clustering techniques can be applied for
identyfing the best sectorization of a water
distribution network in to virtaully independent
sectors, according to decisor’s preferences.
SCADA system may be used for monitoring
hydraulic parameters at the entrance point of
each sector (district). Data can be analysed
(e.g., Minimum Night Flow) in order to identify
in which district(s) a leak may exist
Experiences in IWRM: Sectorization service
5 12/09/2011
Leaks affect severely most of the water supply systems. In Italy, 47% of water is lost
because leaks and more than 80% in the worst cases, for example in Sardegna
(Fonte ISTAT, 2010, su dati 2008).
Clustering techniques may be adopted on data both acquired from monitoring and
leakage scenarios simulated via hydraulic simulation.
Clustering permits to identify groups of pipes that, when they are affected by a leak,
produce similar variations at the monitoring points (pressure, flows, etc).
Actual variations at monitoring points can be then compared to those produced by
clustering in order to identify the subset of pipes most probably affected by a (real)
leak.
Time and costs to physically search for a leak can be consequently reduced as well
as time to implement a prompt rehabilitation strategy.
Experience in IWRM: Localizing Leaks
6 12/09/2011
Objective of the therapy is to identify the most
suitable dose of anticoagulant for maintaining
CVD patient in a stable condition, according to
INR (international normalized ratio) response.
Oral Anticoagulant Therapy
Analysis of genetic information (e.g., CY2C9, VKORC1, CYP4F2) may support a
more personalized dosing, improving both INR response and quality of life.
7 12/09/2011
Data and knowledge sharing among medical experts is a key factor of success:
1)(HOSPITAL ) An OAT clinician, working in a clinic with its own data base and
analytics desires to correlate his data with those shared by other clinical
practitioners on a web-based platform. Analysis can be performed by the
clinician on its own system, thanks to web-services he may access data
generated by others and/or share his own data.
2)(GENERAL PRACTITIONER) A GP or a pharmacy, exposes his own health
data via web-services. The platform takes care of merging and elaborating data
through its own specifically designed services (trend prediction, decision support,
etc.) which represent the knowledge within the system.
3)Network of services for home care (quasi ) . Patient centric approach
Web-services for OAT: two scenarios …
8 12/09/2011
Lenvis retrieves and analyzes
heterogeneous and geographically
dispersed data resources in order
to deliver information regarding
both environmental and health
related issues.
LENVIS a network of environment and health
related services
9 12/09/2011
LENVIS: water related services
10 12/09/2011
The web-services based architecture
enables integration and interoperability
among water/air quality service , health
data , and the trend forecasting services
LENVIS: air quality related services
http://portal.lenvis.eu/
11
– The use of “big data “ will become a key factor for companies , utilities
and government
• Shortage of talent for organizations to take advantage of “new” ICT
• Resources in the Internet of Services can be used for developing new
applications, thanks to the possibility of “crowdsourcing” which thru
“distributed cocreation” might lead to “customer support communities” and
to innovative ideas / prototypes being tried out in practice with risk
mitigation, cost&time reduction
12 12/09/2011
Thanks!

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Archetti

  • 1. 1 12/09/2011 Internet of Services (IoS) is an innovative vision of the Internet where “everything” (mainly ICT solutions) is available as a service: software applications, tools to develop software, platforms to run software for data/knowledge storage, processing and communication. IoS is mapped naturally with Internet of Things (IoT). Web-Services represent a key factor in the Internet of Services vision: they enable implementation of the Service Oriented Approach (SOA), making accessible several functionalities among different applications/platforms. This approach supports interoperability and is independent on platforms and application domain and strikes a more efficient balance between local ( the growing number of sensors and actuators) and global ( computationally intensive modeling ). The challenge and opportunity of “big data” ICT & Internet-of-Services
  • 2. 2 12/09/2011 A more rational Water Resource Management is both an ethic and economic imperative ( 220.000 new consumers each day, multinational companies enter the market ) Internet of Services may represent a successful paradigm for implementing a more effective and efficient Integrated Water Resource Management (IWRN) Several ICT solutions can be combined and integrated to realize such a vision: • Supervisory Control And Data Acquisition (SCADA) systems for monitoring • Web-based Geographic Information System (Web-GIS) • Database and warehouse systems • Data Mining tools and Decision Support Systems for demand forecasting, leaks detection/localization, system rehabilitation/expansion strategy Web-Services for Water Resources Management
  • 3. 3 12/09/2011 Each component of the IWRM can be realized as a web-service, enabling interoperability among the different systems. According to the Internet of Things vision, sensors and data sources, decision making and users, are placed at “the edges of the network”, while services for data integration and elaboration represent its “core”. ICT for Integrated Water Resource Management
  • 4. 4 12/09/2011 Clustering techniques can be applied for identyfing the best sectorization of a water distribution network in to virtaully independent sectors, according to decisor’s preferences. SCADA system may be used for monitoring hydraulic parameters at the entrance point of each sector (district). Data can be analysed (e.g., Minimum Night Flow) in order to identify in which district(s) a leak may exist Experiences in IWRM: Sectorization service
  • 5. 5 12/09/2011 Leaks affect severely most of the water supply systems. In Italy, 47% of water is lost because leaks and more than 80% in the worst cases, for example in Sardegna (Fonte ISTAT, 2010, su dati 2008). Clustering techniques may be adopted on data both acquired from monitoring and leakage scenarios simulated via hydraulic simulation. Clustering permits to identify groups of pipes that, when they are affected by a leak, produce similar variations at the monitoring points (pressure, flows, etc). Actual variations at monitoring points can be then compared to those produced by clustering in order to identify the subset of pipes most probably affected by a (real) leak. Time and costs to physically search for a leak can be consequently reduced as well as time to implement a prompt rehabilitation strategy. Experience in IWRM: Localizing Leaks
  • 6. 6 12/09/2011 Objective of the therapy is to identify the most suitable dose of anticoagulant for maintaining CVD patient in a stable condition, according to INR (international normalized ratio) response. Oral Anticoagulant Therapy Analysis of genetic information (e.g., CY2C9, VKORC1, CYP4F2) may support a more personalized dosing, improving both INR response and quality of life.
  • 7. 7 12/09/2011 Data and knowledge sharing among medical experts is a key factor of success: 1)(HOSPITAL ) An OAT clinician, working in a clinic with its own data base and analytics desires to correlate his data with those shared by other clinical practitioners on a web-based platform. Analysis can be performed by the clinician on its own system, thanks to web-services he may access data generated by others and/or share his own data. 2)(GENERAL PRACTITIONER) A GP or a pharmacy, exposes his own health data via web-services. The platform takes care of merging and elaborating data through its own specifically designed services (trend prediction, decision support, etc.) which represent the knowledge within the system. 3)Network of services for home care (quasi ) . Patient centric approach Web-services for OAT: two scenarios …
  • 8. 8 12/09/2011 Lenvis retrieves and analyzes heterogeneous and geographically dispersed data resources in order to deliver information regarding both environmental and health related issues. LENVIS a network of environment and health related services
  • 9. 9 12/09/2011 LENVIS: water related services
  • 10. 10 12/09/2011 The web-services based architecture enables integration and interoperability among water/air quality service , health data , and the trend forecasting services LENVIS: air quality related services http://portal.lenvis.eu/
  • 11. 11 – The use of “big data “ will become a key factor for companies , utilities and government • Shortage of talent for organizations to take advantage of “new” ICT • Resources in the Internet of Services can be used for developing new applications, thanks to the possibility of “crowdsourcing” which thru “distributed cocreation” might lead to “customer support communities” and to innovative ideas / prototypes being tried out in practice with risk mitigation, cost&time reduction