Abstract
Tape is an excellent choice for archival storage because of the capacity, cost per GB and long retention intervals, but its main drawback is the slow access time due to the nature of sequential medium. Modern enterprise tape drives now support Recommended Access Ordering (RAO), which is designed to reduce data recall/retrieval times. BNL SDCC's mass storage system currently holds more than 100 PB of data on tapes, managed by HPSS. Starting with HPSS version 7.5.1, a new feature called “Tape Order Recall (TOR) has been introduced. It supports both RAO and non-RAO drives. The file access performance can be increased by 30% to 60% over the random file access. Prior to HPSS 7.5.1, we have been using an in-house developed scheduling software, aka ERADAT. ERADAT accesses files based on the file logical position order. It has demonstrated a great performance over the past decade long usage in BNL. In this paper we will present a series of test results, compare TOR and ERADAT's performance under different configurations to show how effective TOR (RAO) and ERADAT perform and what is the best solution in data recall from SDCC's tape storage
Highlights
Tape is an excellent choice for archival storage because of the capacity, cost per GB and long retention intervals, but its main drawback is the slow access time due to the nature of sequential medium
We need to examine the architectural design of our tape storage to optimize the data archival system
While B is being read from tape, file C will be queued in HPSS
Summary
Tape is an excellent choice for archival storage because of the capacity, cost per GB and long retention intervals, but its main drawback is the slow access time due to the nature of sequential medium. Modern enterprise tape drives support Recommended Access Ordering (RAO), which is designed to reduce data recall/retrieval times. BNL SDCC's mass storage system currently holds more than 100 PB of data on tapes, managed by HPSS. Starting with HPSS version 7.5.1, a new feature called “Tape Order Recall (TOR) has been introduced. It supports both RAO and non-RAO drives. ERADAT accesses files based on the file logical position order. It has demonstrated a great performance over the past decade long usage in BNL. The Recommended Access Order (RAO) is one of the new features we need to evaluate. HPSS is a software developed by IBM in collaboration with various DOE National Labs [7]
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