EGEE-III INFSO-RI Enabling Grids for E-sciencE EGEE and gLite are registered trademarks CYCLOPS:Integrating Sensors into the Grid António Pina, António Esteves, Joaquim Macedo, Vítor Sá, Marco Caldas, Luiz Lopes, Nuno Lebreiro University of Minho Catania, Italy :: 2-6 March 2009

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 2 AGENDA Context and motivations –WSN, CP applications, case study, simulation DORII-based prototype –Reasons for using DORII –The instrument –Proposed architecture –DORII constraints and the CJI solutions OGC-based prototype –Standards and services –Proposed architecture –52North-based database Conclusions and future work

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 3 Context and motivations Wireless Sensor Networks (WSN) Civil Protection applications Case study: integrate a WSN with CP applications running in the Grid

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 4 Wireless Sensor Networks Simulation: To replace real sensors with a simulated version, which makes it easier, faster and cheaper to test applications without real hardware. To make it possible to scale a real network (motes) and test applications with a larger input data set. To aid the selection of the best topology and localization of the network, based on type of soil and other geographic criteria.

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 5 DORII-based Prototype: Why using DORII? GRID access to instruments Tested middleware DORII key elements: –Virtual Control Room (VCR) –Instrument Element (IE)

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 6 DORII-based Prototype: the instrument Attributes Parameters Commands

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 7 DORII-based Prototype: system architecture

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 8 DORII-based Prototype: s/w architecture

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 9 DORII-based Prototype: DORII constraints and CJI solutions Real-time control  2 operation modes Offline saving observations  external database Historical log  2 logging modes

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 10 OGC-based Prototype: standards SensorML  a functional model of the sensor system, rather than a detailed description of its hardware. Observation & Measurements (O&M)  a framework, a conceptual model and an encoding formalized as an application scheme. Sensor Observation Service  an interface to make sensors and their data archives accessible via an interoperable Web based interface. Sensor Planning Service  an interface to task an asset or asset system.

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 11 OGC-based Prototype: architecture

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 12 OGC-based Prototype: database

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 13 OGC-based Prototype: Sensor Observation Service SOS implemented operations: DescribeSensor  for requesting information about the sensor itself, encoded in a SensorML instance document GetCapabilities  for requesting a self-description of the service (request the capabilities file of the service) GetObservation  for requesting the pure sensor data, encoded in O&M.

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 14 OGC-based Prototype: SOS DescribeSensor Request <DescribeSensor xmlns=" xmlns:xsi=" xsi:schemaLocation=" service="SOS" outputFormat="text/xml;subtype="SensorML/1.0.0" " version="1.0.0"> urn:ogc:object:feature:Sensor:UM:um-sensor- north

Enabling Grids for E-sciencE EGEE-III INFSO-RI CYCLOPS: Integrating Sensors into the Grid 15 Conclusions and Future Work 2 functional prototypes, to provide Grid CP applications with data from remote WSN, were developed. Some weaknesses of DORII were identified: –The necessity of having VCR online in order to receive alarms or to perform planned observations. –It imposes constrains to virtualize a network instrument. –Its difficult to share the control among several users and assure their individual jobs integrity. Evaluate if Grid enabled access to sensors is adequate for CP purposes. Define a QoS to guarantee CP applications requirements (real-time functioning, …). Implement a power saving policy in sensors monitoring.