Self-Service Queue and User Management in Shared Clusters

Colby, Kevin; Dietz, Daniel T.; Smith, Preston; Cumberland, Donna D.

doi:10.1109/hust.2014.5

Cited by 6 publications

(3 citation statements)

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“…To fulfill the requirements imposed by both, and to provide scientists the ability to manage fine-grained access control without dealing with Linux commands, Data Depot integrates a web-based tool developed at Purdue University to manage permissions and access [22]. Research lab managers can use the web tool to grant read, write, and executable permissions to individuals by simply check the corresponding checkbox.…”

Section: B Storage System Requirementsmentioning

confidence: 99%

Data storage and sharing for the long tail of science

Zhang

Pouchard

Smith

et al. 2016

2016 New York Scientific Data Summit (NYSDS)

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Research data infrastructure such as storage must now accommodate new requirements resulting from trends in research data management that require researchers to store their data for the long term and make it available to other researchers. We propose Data Depot, a system and service that provides capabilities for shared space within a group, shared applications, flexible access patterns and ease of transfer at Purdue University. We evaluate Depot as a solution for storing and sharing multiterabytes of data produced in the long tail of science with a use case in soundscape ecology studies from the Human-Environment Modeling and Analysis Laboratory. We observe that with the capabilities enabled by Data Depot, researchers can easily deploy fine-grained data access control, manage data transfer and sharing, as well as integrate their workflows into a High Performance Computing environment.

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Section: B Storage System Requirementsmentioning

confidence: 99%

Data storage and sharing for the long tail of science

Zhang

Pouchard

Smith

et al. 2016

2016 New York Scientific Data Summit (NYSDS)

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“…At Purdue, the Research Computing division set out in 2011 to design a cluster management solution to empower faculty to manage access to their own purchased resources. This system needed to also allow center staff to quickly provision resources, provide accurate accounting and tracking of faculty purchases over time, and provide a single location for data about the cluster program [1].…”

mentioning

confidence: 99%

“…This allows self-service ordering for internal accounting environments where purchases must go through organizational approvals, and all center purchase history may be correlated to allocations or other information. For Purdue, the user allocation/authorization alone was estimated as saving 6.7 hours of center staff time per week over the first 18 months [3] [1].…”

mentioning

confidence: 99%

Halcyon: Unified HPC Center Operations

Colby

Rice

2021

2021 IEEE International Conference on Cluster Computing (CLUSTER)

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Under a shared campus cluster model, with many research groups investing distinct amounts and annual new hardware acquisitions, management of users and resources can become very complex. At Purdue, the Research Computing division set out in 2011 to design a cluster management solution to empower faculty to manage access to their own purchased resources. This system needed to also allow center staff to quickly provision resources, provide accurate accounting and tracking of faculty purchases over time, and provide a single location for data about the cluster program [1].

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