NDLI: Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data

Content Provider	IEEE Xplore Digital Library
Author	Monti, H.M. Butt, A.R. Vazhkudai, S.S.
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Science, Virginia Tech. Blacksburg, Virginia, USA (Monti, H.M.; Butt, A.R.) \|\| Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA (Vazhkudai, S.S.)
Abstract	Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves copying (or staging) onto the supercomputer's specialized high-speed storage, scratch space, for sustained high I/O throughput. The current practice of conservatively staging data as early as possible makes the data vulnerable to storage failures, which may entail re-staging and consequently reduced job throughput. To address this, we present a timely staging framework that uses a combination of job startup time predictions, user-specified intermediate nodes, and decentralized data delivery to coincide input data staging with job start-up. By delaying staging to when it is necessary, the exposure to failures and its effects can be reduced. Evaluation using both PlanetLab and simulations based on three years of Jaguar (No. 1 in Top500) job logs show as much as 85.9% reduction in staging times compared to direct transfers, 75.2% reduction in wait time on scratch, and 2.4% reduction in usage/hour.
Starting Page	1
Ending Page	12
File Size	675870
Page Count	12
File Format	PDF
ISBN	9781424464425
ISSN	15302075
e-ISBN	9781424464432
DOI	10.1109/IPDPS.2010.5470367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Laboratories Throughput Supercomputers Large-scale systems Large Hadron Collider Mathematics Application software Delay effects Energy management end-user data delivery High performance data management data-staging HPC center serviceability
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On Timely Staging of HPC Job Input Data

ReconcilingScratchSpaceConsumption,Exposure,andVolatility toAchieve

Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability

Timely offloading of result-data in HPC centers

Timely offloading of result-data in hpc centers (2008)

Timely result-data offloading for improved hpc center scratch provisioning and serviceability.

Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability

Just-in-time staging of large input data for supercomputing jobs

TimelyOffloadingofResult-DatainHPCCenters ∗

Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data

Similar Documents

On Timely Staging of HPC Job Input Data

ReconcilingScratchSpaceConsumption,Exposure,andVolatility toAchieve

Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability

Timely offloading of result-data in HPC centers

Timely offloading of result-data in hpc centers (2008)

Timely result-data offloading for improved hpc center scratch provisioning and serviceability.

Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability

Just-in-time staging of large input data for supercomputing jobs

TimelyOffloadingofResult-DatainHPCCenters ∗

Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data