Flash Oriented IO Management for Data Intensive Applications Yongkun Wang Student, Graduate School of Information Science and Technology Kazuo Goda
Miyuki Nakano Masaru Kitsuregawa Institute of Industrial Science The University of Tokyo 1
Flash SSD • A promising storage device for data intensive applications • Lots of works succeeded in boosting – Many employed LFS‐like techniques in a specific storage layer to mitigate slow random writes – Few explored potential device performance in a system
• Our goal: overall IO optimization through IO path for achieving potential flash SSD performance 2
Performance Gap • Mtron device implies significant speedup • LFS gives substantial boosting, but does not reach potential performance Intel 2GHz processor, 2GB memory with Mtron PRO 7500 32GB SLC Linux 2.6.x, TPC‐C (#W=30), DBMS‐X with 4KB blocks, 80MB buffer
Sequential Read Sequential Write
Read
x5.8 Random Read
x116
x6.0
Random Write Write
Basic performance of Mtron SSD
IO time of TPC‐C execution
3
Eager Scheduling w/ Database Checkpoint Information • Database checkpoint information helps to maximize write scheduling opportunities • Flash‐aware write scheduling reduces slow random writes to obtain potential device power Scheduling Window Read
Application (DBMS)
Write
Ckpt. Info.
IO Path
Write scheduling Time
Flash SSD 4
Trace‐driven Experiment • Combined write scheduling techniques could potentially reduce write time by two orders of magnitude – Even small buffer boosted well – Merely deferring gave degradation
Intel 2GHz processor, 2GB memory with Mtron PRO 7500 32GB SLC, Linux 2.6.x, TPC‐C (#W=30), DBMS‐X with 4KB blocks, 80MB buffer
5
Towards Deeper Impedance Matching • Small runtime application information • Device specific characteristics
– Slow random writes – Unexpected aging – Diversity between products
• Other applications – VMs
• Implementation strategy – Existing storage software stack – Relatively small CPU time for scheduling
We examined the IO optimization techniques and the distinct features of the flash SSD. The IOs applied with optimization techniques are analyzed through the IO ...
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