Poster given at TG11, Salt Lake City, July 2011 by Xuan Wu. Raminder Singh, Suresh Marru, Suresh Kumar Deivasigamani, and Marlon Pierce

1. Gateway Optimal Resource Selection and Integrated
Information Services Framework
Xuan Wu, Deivasigamani Suresh Kumar, Raminder Singh, Suresh Marru, Marlon Pierce
Pervasive Technology Institute, Indiana University
Goals Usage Scenario
Usage
Various TeraGrid information and monitoring services provide One Time Registration:
valuable information but are scattered among TeraGrid • Step A: Register gateway used community and research
Information Services (TGIS), TeraGrid news maintenance feed, applications and any available performance data.
INCA resource monitoring, Karnak system status, start time and
• Step B: Register all gateway resources and the utilized grid
wait time prediction and Speedpage file transfer monitoring and
middleware like GRAM5, GridFTP.
estimates. The TGIS provides one stop shop for these services,
but the data is discrete. Example Queries:
Gateways would like to get the information they need by a single 1. Given a job configuration (number of processors, wall time),
query. Motivated by the needs of LEAD, UltraScan and GridChem return all healthy resources sorted by their lowest start time.
gateways, we developed Optimal Resource Prediction Service 2. Gateway Specific Resource Summary: List the status of all
(ORPS). The goals of ORPS are: resources used by a gateway (Ultrascan, GridChem). Status of
• Integrate all information sources into a single yes or no • Job Management, File Transfer, GSISSH and login nodes
answer. Is the resource healthy should verify if the machine is • Over all health. GOOD if all above three services are healthy;
in maintenance, at least one file transfer service and a job BAD if any one of them is down, UNKNOWN if any testing
management service are up and functional. results returns unknown; SCHEDULED MAINTAINCE.
• Predict which resources will be optimal to run the next • Current Load: number of waiting/running jobs and usage.
compute job based on information provided by karnak start Hosted Service or Download & Deploy
time prediction, pre-determined application performance and
estimated run-time. Hosted Service Example:
http://ogceportal.iu.teragrid.org:19444/orps-
Architecture service/XML/gateway/$(gatewayId)
Download, build and deploy:
1. svn co https://ogce.svn.sourceforge.net/svnroot/ogce/incubator/ORPS
2. mvn clean install
3. Configure data collection schedules, database for caching, ports
4. start.sh
Salient Features
• ORPS is a flexible and extensible architecture developed in Status & Future Work
java over the Spring MVC framework. The framework adapts to Phase I (completed):
the emerging information sources. • ORPS is currently integrated into UltraScan production gateway.
• External information services send information though • Working with GridChem gateway developers to integrate into
subscriptions (push) or by periodic polls. development environment.
• The scheduler polls different sources based on their update Phase II (in development):
frequency and data is provided downstream in near-real-time. • Application specific scheduling: get all healthy resources to run
• ORPS exposes the raw & mashed up information to gateways Gaussian on TeraGrid. Selection based on: Queue wait time +
through REST interfaces. Gaussian relative performance data + bandwidth estimates
• Information sources update schedule-aware multi-level Acknowledgement
databases cache to serve surge of job submission requests
from gateways. The Authors would like to thank the INCA, TGIS and Karnak teams
for valuable discussions and support and UltraScan and GridChem
• The determined health and schedule is cached in second level gateways for requirement and integration.
to ensure quick response time < 100ms.
This work is partially supported by TeraGrid Gateway Advanced
• Detailed test failures are provided to assist in determining Support Activity and Open Gateway Computing Environments NSF
transient vs persistent failures. SDCI Grant No: OCI-1032742.
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