Providing resource information to users of a national computing center

Hanlon, Matthew; Smith, Warren; Mock, Stephen

doi:10.1145/2484762.2484826

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…The Job Monitor is decoupled from the submission mechanisms in GFAC, allowing us to have multiple monitoring mechanisms. For example, on XSEDE, we may monitor jobs with both pull approaches ("qstat" or similar Grid mechanisms) and push messaging [9]. Seventh, if the job completes successfully, the gateway user can download outputs from the remote resource via Airavata.…”

Section: Client and Component Interactionsmentioning

confidence: 99%

Apache Airavata: Design and Directions of a Science Gateway Framework

Pierce

Marru

Gunathilake

et al. 2014

2014 6th International Workshop on Science Gateways

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Abstract-This paper provides an overview of the Apache Airavata software system for science gateways. Gateways use Airavata to manage application and workflow executions on a range of backend resources (grids, computing clouds, and local clusters). Airavata's design goal is to provide component abstractions for major tasks required to provide gateway application management. Components are not directly accessed but are instead exposed through a client Application Programming Interface. This design allows gateway developers to take full advantage of Airavata's capabilities, and Airavata developers (including those interested in middleware research) to modify Airavata's implementations and behavior. This is particularly important as Airavata evolves to become a scalable, elastic "platform as a service" for science gateways. We illustrate the capabilities of Airavata through the discussion of usage vignettes. As an Apache Software Foundation project, Airavata's open community governance model is as important as its software base. We discuss how this works within Airavata and how it may be applicable to other distributed computing infrastructure and cyberinfrastructure efforts.

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Section: Client and Component Interactionsmentioning

confidence: 99%

Apache Airavata: Design and Directions of a Science Gateway Framework

Pierce

Marru

Gunathilake

et al. 2014

2014 6th International Workshop on Science Gateways

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“…The first version of CommnQ was a Python application. This version subscribed to messages from the RabbitMQ server and would apply post‐processing logic to messages it received.…”

Section: Information Infrastructurementioning

confidence: 99%

Providing resource information to users of a national computing center

Hanlon¹,

Smith²,

Mock³

2014

Concurrency and Computation

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SUMMARYThe Texas Advanced Computing Center provides a variety of high‐end resources to state, national, and international computational scientists and engineers. Many users obtain information about these resources via the Texas Advanced Computing Center user interfaces, which are supported by an information gathering and distribution infrastructure. After a number of years of use, we needed to improve our user interfaces by both redesigning the web interface and adding mobile interfaces. To support this, we also needed to update our information infrastructure. This paper presents our new design, describes how it improves over the previous approach, and shows that this design meets our current and expected future needs. Copyright © 2014 John Wiley & Sons, Ltd.

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“…The Information Publishing Framework (IPF) [7], [8] is software developed as part of XSEDE [9] to gather and publish information about clusters. It provides static and dynamic information about a cluster including descriptions of the compute nodes, batch scheduling queues, and jobs being managed by the batch scheduler or IaaS cloud software.…”

Section: Monitoring Toolsmentioning

confidence: 99%

Building an Information System for a Distributed Testbed

Smith¹,

Smallen

2014

Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment

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This paper describes an information system designed to support the large volume of monitoring information generated by a distributed testbed. This monitoring information is produced by several subsystems and consists of status and performance data that needs to be federated, distributed, and stored in a timely and easy to use manner. Our approach differs from existing approaches because it federates and distributes information at a low architectural level via messaging; a natural match to many of the producers and consumers of information. In addition, a database is easily layered atop the messaging layer for consumers that want to query and search the information. Finally, a common language to represent information in all layers of the information system makes it significantly easier for users to consume information. Performance data shows that this approach meets the significant needs of FutureGrid and would meet the needs of an experimental infrastructure twice the size of FutureGrid. In addition, this design also meets the needs of existing distributed scientific infrastructures.

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Providing resource information to users of a national computing center

Cited by 7 publications

References 10 publications

Apache Airavata: Design and Directions of a Science Gateway Framework

Apache Airavata: Design and Directions of a Science Gateway Framework

Providing resource information to users of a national computing center

Building an Information System for a Distributed Testbed

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