Cyberinfrastructure for the US Ocean Observatories Initiative: Enabling Interactive Observation in t

1
Cyberinfrastructure for the US Ocean
Observatories Initiative Enabling Interactive
Observation in the Ocean CI Implementation
Organization (the brains) Schofield (todays
mouth)
2
OOI is a major infrastructure development by the
US National Science Foundation
3
The NSF Ocean Observatories Initiative will
sample extreme environments and episodic events
for sustained periods of time in real-time
This will enable an era of scientific discovery
across and within the ocean basins, utilizing
widely accessible, scalable, interactive
tele-presence The OOI was approved by the
National Science Board in May 2009. Construction
begins in Autumn 2009.
4
An interactive ocean laboratory integrated by a
leading-edge, multi-scalar cyberinfrastructure
(CI).
The CI must provide -Open data -Near-real-time
-Interactive -Scalable -Data provenance
-Social Networking
A traditional data-centric CI, in which a central
data management system ingests data and serves
them to users on a query basis, is not sufficient
to accomplish the range of tasks ocean scientists
will engage in when the OOI is implemented.
5
(No Transcript)
6
(No Transcript)
7
This will require a highly distributed set of
capabilities that facilitates End-to-end data
preservation and access, End-to-end,
human-to-machine and machine-to machine control
of how data are collected and analyzed, Direct,
closed loop interaction of models with the data
acquisition process, Virtual collaborations
created on demand to drive data-model coupling
and share ocean observatory resources (e.g.,
instruments, networks, computing, storage and
workflows), End-to-end preservation of the
ocean observatory process and its outcomes, and
Automation of the planning and prosecution of
observational programs.
8
An example and a test-bed
9
Engineering process over the last 1.5 years
10

• The CI integration strategy is based on messaging
  and service-orientation.
• A high-performance message exchange provides a
  communication conduit with dynamic routing and
  interception capabilities for all interacting
  elements of the system-of-systems.
• 2) Service-orientation manages and maintain
  is applications in a heterogeneous distributed
  system. All functional capabilities and resources
  represent themselves as services with defined
  service access protocols based on message
  exchange. Services are independent of
  implementation technologies

11
The CI Capability Container provides all
essential infrastructure elements and selected
deployment-specific application support.
Capability containers can be deployed wherever
CI-integrated resources are required across the
observatory network, and can be adapted to
available resources and their environment.
12
CI Facilities
The CI multi-facility strategy supports
collaboration of multiple independent domains of
authority, each with its own resources. No
central governance. Policy authority, based on
agreements and contracts. This enables the
sharing and use of observatory resources across
the network, governed by consistent policy.
The CIs functional capabilities are structured
into six services networks (SNs) that participate
in operational activities
13
Common Operating Infrastructure (COI) services
integrate the CI services networks. -Enables
data and control distribution among CI services
and allow subsystem services to be composed to
manage complex interactions. -Implements
cross-cutting aspects such as governance and
security.
14
The Common Execution Infrastructure (CEI)
provides for the virtualization of computing
across the OOI, including execution resource
provisioning, remote operational management and
process execution. -Supports software package
functional decomposition and deployment,
implementation and integration, as well as
execution engines and an environment for specific
user-requested purposes.
15
The Sensing and Acquisition performs instrument
management, mission execution, and data
acquisition tasks. The Instrument device model
consists of one or more physical sensors or
actuators, and is represented in the CI by a
logical device, the Instrument Agent
The Planning and Prosecution leverages off the
integrated network of sensing, modeling and
control resources. It provides generalized
resource planning and control activities that can
be applied to plan, schedule, and prosecute multi
objective observational programs
16
The science services of the Data Management SN
support observational data ingestion into data
repositories managed by the infrastructure along
with associated metadata. -Support syntactical
data and information format transformations as
well as ontology-supported semantic mediation
17

• Users access the Analysis and Synthesis subsystem
  through the Interactive Analysis and
  Visualization services, and interact with
• -Event Detection Framework
• Data Assimilation and Model Integration
  Framework.
• In each case, the user provides specifications
  and rules, process definitions, and key decisions
  to the framework, and receives refined datasets,
  analysis and visualizations

18
Planning and Prosecution leverages the
capabilities of the integrated network of
sensing, modeling and control resources and
supports resource nesting and autonomy. It
provides generalized resource planning and
control activities that can be applied to plan,
schedule, and prosecute multi-objective
observational programs
19
Testing of the functionality of the CC
CyberPOPs to coordinate mission scheduling and
observing network coordination in a real-world
situation. Combined they provide a Planning and
Prosecution CASPER continuous mission
evaluation ASPEN shore-side mission
planning MOOS-IvP platform behaviors
20
(No Transcript)
21
Construction begins in the coming fiscal year,
testing components begins in the Fall
CI simulation experiments in winter 2009
Rutgers COOL room
22
We will enable gliders within a operational
observatory
23
Science focus will be on the de-stratification of
the Mid-Atlantic Bight
Hurricane and Tropical Storm Tracks