HPCMP Requirements for Metadata and Archiving at Scale

Transcription

1 CMP Requirements for Metadata and Archiving at Scale Amanda Tumminello, Navy DSRC April 2019 DoD High Performance Computing Modernization Program ; distribution is unlimited

2 CMP Ecosystem Results Acquisition Science and Engineering Technology Decision Support Acquisition Engineering DoD DoD Supercomputing Resource Centers (DSRCs) (DSRCs) U.S. Air Force Research Laboratory DSRC A technology-led, innovation-focused program providing the computational environments to solve the Department's critical mission challenges. Decision Support Acquisition Engineering Networking and and Security Defense Research & Engineering Network (DREN) Decision Support Acquisition Engineering Software Applications Core Software Decision Test and Support Evaluation U.S. Army Research Laboratory DSRC Computational Environments Maui High Performance Computing Center DSRC U.S. Army Engineer Research and Development Center DSRC Computer Network Defense, Security R&D, and Security Integration Education and Training Decision Acquisition Support Engineering U.S. Navy DSRC C User Support Page-2

3 DoD Supercomputing Resource Centers US Army Research Lab DSRC US Air Force Maui C Center DSRC US Air Force Research Laboratory DSRC US Army Engineer Research and Development Center DSRC US Navy DSRC Page-3

4 By the numbers Decision Support Acquisition Engineering DoD Supercomputing Resource Centers (DSRCs) Resource Centers (DSRCs) Five DoD Supercomputing Resource Centers (DSRCs) in four states U.S. Army Research Laboratory DSRC Maui High Performance Computing Center DSRC U.S. Air Force Research Laboratory DSRC U.S. Army Engineer Research and Development Center DSRC U.S. Navy DSRC 350 staff ~2000 users from 3 DoD Services and additional DoD agencies 22 C systems from four manufacturers 995,896 cores Over 700 GPUs Over 700 accelerators (Phi and KNL) 45.6 Petaflops aggregate compute capability Over seven billion compute hours delivered annually 120 Petabytes of data stored 40 Gb interconnect between DSRCs Page-4

5 DoD Supercomputing Resource Centers Four Allocated DSRCs provide allocated resources to all CMP users Air Force Research Laboratory (AFRL) DSRC Wright-Patterson Air Force Base, Dayton, OH Army Research Laboratory (ARL) DSRC Aberdeen Proving Grounds, Aberdeen, MD Engineer Research and Development Center (ERDC) DSRC Information Technology Laboratory, Vicksburg, MS Navy DSRC Stennis Space Center, MS Today, C Centers supports 22 C systems with 995,896 cores and 45.6 PetaFLOPS capability One Vanguard Center provides exploratory architectures and technology evaluation to CMP and select users Maui High Performance Computing Center DSRC Kihei, Maui, HI Page-5

6 CMP Current Data Environment DSRC1 C1 C2 DSRC2 C1 C3 C2 DSRC3 C1 C3 C2 HSMC3 DSRC4 C1 C2 HSMC3 DSRC5 C1 C2 HSM C3 HSM Each DSRC is made up of the following: C systems File System (Lustre/GPFS) Center-Wide File system (GPFS) Archival Storage (SAM-FS/Tape) HSM Most of our applications currently require data access via POSIX interface Page-6

7 Current Customer Workflow We have two completely different types of workflows Research Time Sensitive Page-7

8 Research Workflow Users ingest data to desired DSRC C system (or systems) Users run applications on C systems, store data on regularly scrubbed parallel file system Three options for saving data semi-permanently or permanently: Copy data to remote are outside of the program Copy data to the Center-Wide File System Copy data to the HSM at the site of their choice. Page-8

9 Time Sensitive I/O variability hampers processing I/O tends to be a mix of large block sequential and small block random Ensured performance is a desired characteristic Page-9

10 Current Limitations Duplication of data across sites Staging data to the worksite Migrating data from old technology to new technology Quotas Ability to query data holding based on user, group, and data type Inability to profile user I/O behavior in real time Page-10

11 If I had three wishes (or 30) When dealing with wishes for metadata and archival at scale there are three perspectives. That of the user, the administrator, and the acquisition team (show me the money). Let s look into the wishes of each perspective Page-11

12 What a user wants Metadata Ability to find physical location of all copies of data. How many files and total capacity being used (how much is left?) I/O characteristics of the physical residence Staging of data to specific resources Chain of custody (user and digital access) Extended attributes that are easily searchable Ability to enhance/add/change attributes as environment and science change Archive Ability to create transportable archives (physical/cloud) Page-12

13 What an admin needs Real time I/O characteristics Easily queried sensitivity levels for data Encryption capabilities and key management Data at Rest Encryption Data in Flight Encryption Data Encryption per Object User defined Encryption Group defined Encryption Page-13

14 What and admin also needs Chain of Custody User, Project, Organizational level reporting for utilization and data location Data collection and movement for user/project/organization Data curation for lifetime of project Heat maps of metadata operations during processing Efficient means to purge data Ability to prove Qos of I/O subsystem Page-14

15 Balancing needs within an acquisition Detailed reports (how/what/when/where) User level reports, System level reports (high level), Physical reports on data at rest (low level), Program level reports (enterprise level), Reports on data in flight (how is data moving) Auditing of lifecycle of data Analysis of metadata types to data capacity for cost analysis Amount of time file/object spends on media type (SSD, HDD, tape) Heat maps of I/O traffic and utilization across the Enterprise Page-15

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