Remote Instrumentation and Sensor Networks on the Great Barrier Reef CIMA based sensor networks… Ian Atkinson

Slides:



Advertisements
Similar presentations
Common Instrument Middleware Architecture and Federation of Instrument Resources for X-ray Crystallography Rick McMullen Indiana University.
Advertisements

National Partnership for Advanced Computational Infrastructure San Diego Supercomputer Center Data Grids for Collection Federation Reagan W. Moore University.
1 DTI/EPSRC 7 th June 2005 Reacting to HCI Devices: Initial Work Using Resource Ontologies with RAVE Dr. Ian Grimstead Richard Potter BSc(Hons)
Peter Berrisford RAL – Data Management Group SRB Services.
An Overview of eResearch Activities in Australia Paul Davis, GrangeNet Jane Hunter, Uni of Qld.
ARCHER Overview October e-Research Challenges Acquiring data from instruments Storing and managing large quantities of data Processing large quantities.
Chronopolis: Preserving Our Digital Heritage David Minor UC San Diego San Diego Supercomputer Center.
Jean-Yves Nief, CC-IN2P3 Wilko Kroeger, SCCS/SLAC Adil Hasan, CCLRC/RAL HEPiX, SLAC October 11th – 13th, 2005 BaBar data distribution using the Storage.
Robust Tools for Archiving and Preserving Digital Data Joseph JaJa, Mike Smorul, and Mike McGann Institute for Advanced Computer Studies Department of.
Components and Architecture CS 543 – Data Warehousing.
Interpret Application Specifications
Mike Smorul Saurabh Channan Digital Preservation and Archiving at the Institute for Advanced Computer Studies University of Maryland, College Park.
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
Aus-VO: Progress in the Australian Virtual Observatory Tara Murphy Australia Telescope National Facility.
IBM Research – Thomas J Watson Research Center | March 2006 © 2006 IBM Corporation Events and workflow – BPM Systems Event Application symposium Parallel.
TPAC Digital Library Talk Overview Presenter:Glenn Hyland Tasmanian Partnership for Advanced Computing & Australian Antarctic Division Outline: TPAC Overview.
Business Driven Technology Unit 4
26-28 th April 2004BioXHIT Kick-off Meeting: WP 5.2Slide 1 WorkPackage 5.2: Implementation of Data management and Project Tracking in Structure Solution.
Tools for e-Research Mat Wyatt. 2 e-Research Sensor nets data compute… Models/ software/ workflows colleagues instruments.
QCDgrid Technology James Perry, George Beckett, Lorna Smith EPCC, The University Of Edinburgh.
ABSTRACT Real-time systems applied to seismic data acquisition, asynchronous processing, and data archiving tasks have clearly demonstrated their utility.
Scientific Data Infrastructure in CAS Dr. Jianhui Scientific Data Center Computer Network Information Center Chinese Academy of Sciences.
Discussion and conclusion The OGC SOS describes a global standard for storing and recalling sensor data and the associated metadata. The standard covers.
About CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities.
DuraCloud Managing durable data in the cloud Michele Kimpton, Director DuraSpace.
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 12 Slide 1 Distributed Systems Architectures.
PolarGrid Geoffrey Fox (PI) Indiana University Associate Dean for Graduate Studies and Research, School of Informatics and Computing, Indiana University.
ISpheres Project. Project Overview iSpheresCore iSpheresImage Demonstration References.
Jan Storage Resource Broker Managing Distributed Data in a Grid A discussion of a paper published by a group of researchers at the San Diego Supercomputer.
DISTRIBUTED COMPUTING
ANSTO E-Science workshop Romain Quilici University of Sydney CIMA CIMA Instrument Remote Control Instrument Remote Control Integration with GridSphere.
COMP 410 Update. The Problems Story Time! Describe the Hurricane Problem Do this with pictures, lots of people, a hurricane, trucks, medicine all disconnected.
A summary of the outputs of the ARCHER Project David Groenewegen, Nick Nicholas and Anthony Beitz ARCHER Project.
Crystal-25 April The Rising Power of the Web Browser: Douglas du Boulay, Clinton Chee, Romain Quilici, Peter Turner, Mathew Wyatt. Part of a.
ICTP, April 2007 CIMA in Australia Ian Atkinson HPRC Manager, ITR School of Maths, Physics and IT James Cook University.
Neil Witheridge APAN29 Sydney February 2010 ARCS Authorisation Services Neil Witheridge Manager, ARCS Authorisation Services APAN29, Sydney, February 2010.
CYBERINFRASTRUCTURE FOR THE GEOSCIENCES Data Replication Service Sandeep Chandra GEON Systems Group San Diego Supercomputer Center.
Crystal25 Hunter Valley, Australia, 11 April 2007 Crystal25 Hunter Valley, Australia, 11 April 2007 JAINIS (JCU and Indiana Instrument Services): A Grid.
NOVA Networked Object-based EnVironment for Analysis P. Nevski, A. Vaniachine, T. Wenaus NOVA is a project to develop distributed object oriented physics.
© 2006 Open Grid Forum Remote Instrumentation Services in Grid Environment Current state of art in terms of the integration of the instrumentation with.
1 Computing Challenges for the Square Kilometre Array Mathai Joseph & Harrick Vin Tata Research Development & Design Centre Pune, India CHEP Mumbai 16.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
GO-ESSP Workshop, LLNL, Livermore, CA, Jun 19-21, 2006, Center for ATmosphere sciences and Earthquake Researches Construction of e-science Environment.
Abstract A Structured Approach for Modular Design: A Plug and Play Middleware for Sensory Modules, Actuation Platforms, Task Descriptions and Implementations.
Introduction to The Storage Resource.
E-Curator: A Web-based Curatorial Tool Ian Brown, Mona Hess Sally MacDonald, Francesca Millar Yean-Hoon Ong, Stuart Robson Graeme Were UCL Museums & Collections.
Biomedical Informatics Research Network BIRN Workflow Portal.
Some comments on Portals and Grid Computing Environments PTLIU Laboratory for Community Grids Geoffrey Fox, Marlon Pierce Computer Science, Informatics,
Background Real-time environmental monitoring is a field garnering an ever-increasing amount of attention. The ability for sensors to make and publish.
August 2003 At A Glance The IRC is a platform independent, extensible, and adaptive framework that provides robust, interactive, and distributed control.
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
| nectar.org.au NECTAR TRAINING Module 2 Virtual Laboratories and eResearch Tools.
AHM04: Sep 2004 Nottingham CCLRC e-Science Centre eMinerals: Environment from the Molecular Level Managing simulation data Lisa Blanshard e- Science Data.
Partnerships in Innovation: Serving a Networked Nation Grid Technologies: Foundations for Preservation Environments Portals for managing user interactions.
Microsoft Partner Conference Integrated Innovation Don Kerr Partner Technology Specialist.
The Storage Resource Broker and.
Cyberinfrastructure Overview of Demos Townsville, AU 28 – 31 March 2006 CREON/GLEON.
Collection-Based Persistent Archives Arcot Rajasekar, Richard Marciano, Reagan Moore San Diego Supercomputer Center Presented by: Preetham A Gowda.
5/29/2001Y. D. Wu & M. Liu1 Content Management for Digital Library May 29, 2001.
AMSA TO 4 Advanced Technology for Sensor Clouds 09 May 2012 Anabas Inc. Indiana University.
A Semi-Automated Digital Preservation System based on Semantic Web Services Jane Hunter Sharmin Choudhury DSTC PTY LTD, Brisbane, Australia Slides by Ananta.
ARCHER Building data and information management tools for the complete research life-cycle July 2006.
Grid Services for Digital Archive Tao-Sheng Chen Academia Sinica Computing Centre
By Graham Woods School of Engineering, James Cook University
Data Grids, Digital Libraries and Persistent Archives: An Integrated Approach to Publishing, Sharing and Archiving Data. Written By: R. Moore, A. Rajasekar,
DMQ4:Instruments & Sensors for online remote access
Distributed Systems Bina Ramamurthy 12/2/2018 B.Ramamurthy.
Gordon Erlebacher Florida State University
Presentation transcript:

Remote Instrumentation and Sensor Networks on the Great Barrier Reef CIMA based sensor networks… Ian Atkinson

New Technologies… Sensor Networks: will enable us to monitor our environment more closely than ever before. Grid computing: will enable the distribution of data collected to researchers around the globe in real time, as well as storing the massive amounts of historical data in online repositories. The challenge: Streamlining the transfer of data from sensors to researchers and managers.

Major Projects 1.ReefGrid 2.Remote Instrument Monitoring

RoadNet: SIO, SDSC, UCSD

Frank Vernon, SIO

Rutgers Cool Room: Costal Observatories

ReefGrid ReefGrid is a pilot project to develop the technologies to allow real time sensor network monitoring of the Great Barrier Reef (GBR). NCRIS-Integrated Marine Observation System GBR monitoring program Encompasses the entire e-Research data flow Sensors Data Aggregatio n Data Transpo rt Data QA/QC Data Ingestion and Storage Data Dissemination Foundation for QOOS: Queensland Oceans Observing System

Davies Davies Reef is the location for the initial deployment of a sensor network on the GBR Davies Reef is ~100km East of Townsville. Data has to be sent 80km to AIMS.

GBR Network? Local Communications Networks

Davies AIMS’ Weather Station at Davies Reeg is being used as a base for the sensor network. A hybrid power system with wind and solar energy and battery back up powers the system.

Davies The Sensors A range of sensor technologies is being used. The most important two are 1-Wire Sensors and Ambient Systems’ Wireless uNodes These technologies provide low cost sensors that can be deployed in large numbers covering a wide area. Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors

Costal Radars (CODAR) HF ocean surface radar to monitor surface currents, wind directions and wave heights Capricorn and Bunker Group of reefs and islands in the southern part of the GBR 100 x100 km, 3km pixel April 2006 deployment Mal Heron, JCU

Davies Data Aggregation Data Aggregatio n Data Transpor t Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors Software tools that allow us to organise many different types of sensing devices for simple reference, access & probing. System is scalable so that many sensors can be added. Individual Sensors Data Aggregation Data Sinks

Sensor Gateway: Use Case To add / remove / re-configure a sensor –Make the change at the hardware level –Update the configuration database Sink Source Root Sensor –Push the new configuration file to the appropriate sink See

Davies Data Transport Sensors Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n Two aspects of Data Transport: 1.the physical connection to sensor networks many 10’s of km off the coast 2.the protocols for interacting with the sensor network (retrieving data and interrogating the system).

Davies Data Transport Sensors Data Aggregatio n Data Transpor t Data QA/Q C Data Ingestion and Storage Data Disseminatio n microwave link to provide data communications between the sensor network at Davies Reef and the mainland. "evaporation duct" just above the ocean, allows microwaves to propagate around the curved surface of the Earth. removes the need for a line-of-site connection between the two ends of the microwave link.

JAINIS Davies Data Transport Sensors Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n The protocols for communications with the Grid are tied to an overall dataflow that includes QA/QC and ingestion of data into storage facilities. JAINIS (J CU A nd IN diana University I nstrument S ervices ). CIMA provides a consistent and reusable framework for including shared instrument resources distributed Grids. Several enhancements have been made to the CIMA implementation

JAINIS Davies JAINIS Sensors Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n JAINIS has a structure that has an Instrument Representative that allows the instrument (or data sink in ReefGrid) to be represented as a web service. This web service can be accessed by a Data Manager to control the flow of data through QA/QC and preprocessing to a data repository. The Web Services can also be used to stream live data and to provide interactive control over the sensor network.

Davies JAINIS CIMA Instrument Representative Data Manager CIMA SOAP Interface GridSphere Portal SRB Data Repository (data and metadata) Kepler mediated Experimental logic SRB MCAT PGL Applications/ Processing Data Sinks/ Sensors CIMA core code from IU JCU/DART reengineered CIMA code SDSC Components Workflow & computational Pipelines, Automatic metatdata generation Live Data Feeds, Instrument Control

Davies Data Manager Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors JAINIS uses Kepler as its Data Manager. Kepler provides a graphical user interface allowing the user to define workflows. Metadata can be automatically generated in Kepler based on input data from the Instrument Representative

Davies Data Manager Data Aggregatio n Data Transpo rt Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors QA/QC routines are performed in Kepler. Preprocessing can also be performed in Kepler (e.g. converting units of a measurement) Kepler can controls the location where data is stored (creating file names and directories, metadata)

Davies Data Ingestion and Storage Data Aggregatio n Data Transpor t Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors In the JAINIS implementation, the data is stored using SRB (Storage Resource Broker). Heterogenous storage devices act as single logical storage Metadata Catalogue Service (MCAT) –Stores metadata associated with objects –Metadata is vital for finding data in large data stores, as well as describing how the data was collected, what QA/QC and what pre-processing has been done

Personal Grid Library: PGL Implementation of a web-based digital library (Gridsphere portlets) Provides an interface to templated metadata manipulation –Define object classes (Images, reports, datasets...) –Define appropriate metadata tags –Define metadata display template Uses SRB to manage the digital objects and the metadata Exists by placing a metadata template file in a directory - used by interface to render library

PGL: Interface and metadata/annotations

Davies Data Ingestion and Storage Data Aggregatio n Data Transpor t Data QA/Q C Data Ingestion and Storage Data Disseminatio n Sensors Integrating SRB with content management systems (plone).

JCU e-Research and Sensor Network Collaborations ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). ARC Research Network for Materials and Molecular Sciences (MMSN). Key partner of Queensland Cyber-Infrastructure Foundation (QCIF). Australian Partnership for Advanced Computing (APAC). Ambient Systems and University of Twenté (Netherlands) Indiana University (USA). San Diego Supercomputing Centre. EM Solutions (Brisbane).

Sensor Data Flows Summary ––Wireless data links Sensor Networks Temp, salinity, Light, turbidity, etc. Data ‘Sinks’ Internet Microwave links - via humidity ducting SRB MCAT Data Repository Disk/Tape Storage (multiple locations) Data Sinks enable Simple sensor configuration Interface Scalability / ease of maintenance Model for ‘plug and play’ sensor configuration Security Automatically update backend data structures Developed by DART for Davies Reef SN Platform Network & sensor monitoring AODC-JF & other portals Data Manager CIMA SOAP Interface Kepler mediated Experimental logic Workflow & computational pipelines, Automatic metatdata generation Local and remote Grid computing Compute resources Custom portals / Research codes Sensor Devices Inexpensive, commodity inspired Ad hoc network Above and below water wireless network & wired Many partners involved Great Barrier Reef - Ocean Observing System

Registry and directory server Data Acquisition Code(s) Register Notify Web Services interface Request/ Response Events/ Streaming Locate Analysis Codes Storage Instrument Semantics, Metadata Microwave link

DIMSIM: Distributed Integrated Multi-Sensor and Instrument Middleware