Indiana University

Follow us on Facebook!

Sigiri

Overview

 With the maturation of Grid computing facilities and recent explosion of cloud computing data centers, mid-scale computational science has more options than ever before to satisfy computational needs. But heterogeneity brings complexity. We propose a simple abstraction for interaction with heterogeneous resource managers spanning grid and cloud computing, and on features that make the tool useful for the mid-scale physical or natural scientist. Key strengths of the abstraction are its support for multiple standard job specification languages, preservation of direct user interaction with the service, removing the delay that can come through layers of services, and the predictable behaviour under heavy loads.

Requirements

Downloads

License

Sigiri is an open source tool licensed under the Apache 2.0 license.  A copy of the license is available at http://www.apache.org/licenses/LICENSE-2.0.html

Publications

Click here or see below.

Project Contributors

  • Eran Chinthaka Withana 
  • Milinda Pathirage
  • Kavitha Chandrasekar
  • Beth Plale

Contact

  • Milinda Pathirage [mpathira at indiana dot edu]‎
Related News, Events and Publications:

SI2-SSE Pipeline Framework for Ensemble Runs on the Cloud Poster, quad chart and abstract for SI2 project meeting.
D2I visualizes Vortex2 data set in World Wide Telescope (WWT)

Great resource for understanding the D2I-Vortex2 data set. All 173 Vortex2 records are visualized with exact coordinate information.  Based on this data, the Data to Insight Center successfully executed 214 workflows, used 109,568 CPU hours, generated 215 GB of data and over 9100 2D products.

Indiana University Pervasive Technology Institute Report to the Lilly Endowment, Inc. 48 Month Program Report Jun 1 - Nov 30, 2012 Bi-Annual report to the Lilly Endowment, Inc. Search for "Lilly Report" to find all reports.
Middleware alternatives for storm surge predictions in Windows Azure Prof. Plale introduces research D2I will carry forward with a new project in conjunction with Craig Mattocks from University of Miami. Attendees included representatives from the National Hurricane Center and the National Weather Service. May 2, 2012.
Workflows in Environmental e-Science (Scientific Workflow) Presentation given by Prof. Beth Plale at the Open Data for Open Science 2012: Developers' Training for Environmental Research Workshop, April 4, 2012.
Sigiri: uniform resource abstraction for grids and clouds With the maturation of grid computing facilities and recent explosion of cloud computing data centers, midscale computational science has more options than ever before to satisfy computational needs. But heterogeneity brings complexity. We propose a simple abstraction for interaction with heterogeneous resource managers spanning grid and cloud computing and on features that make the tool useful for the midscale physical or natural scientist. Key strengths of the abstraction are its support for...
Karma Provenance Collection Tool The Karma tool is a standalone tool that can be added to existing cyberinfrastructure for purposes of collection and representation of provenance data. Karma utilizes a modular architecture that permits support for multiple instrumentation plugins that make it usable in different architectural settings.
Provenance and Metadata The Data to Insight Center has a strong presence in provenance and metadata for scientific data through numerous funded projects and efforts with collaborators both at Indiana University and at other institutions.
Provenance
As research digital data collections become more accessible, it becomes increasingly important to address the issues of data validity and quality: To record and manage information about where each data object originated, the processes applied to...
Sigiri: Uniform Resource Abstraction for Grids and Clouds Scientists who conduct mid-range computationally heavy modeling and analysis often scramble to find sufficient computational resources to test and run their codes. The science they carry out is not petascale or even terascale science but the computational needs often go beyond what can be satisfied by their university. With the maturation of Grid computing facilities and recent explosion of cloud computing data centers, mid-scale computational science has more options to satisfy computational...
Opal-Sigiri: Software as a Service on PRAGMA Testbed PRAGMA 20 Workshop, The University of Hong Kong, Hong Kong, China, March 2-4, 2011. Presentation by Yuan Luo.