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!