TY - GEN
T1 - Large Block CLOCK (LB-CLOCK)
T2 - 2009 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2009
AU - Debnath, Biplob
AU - Subramanya, Sunil
AU - Du, David H
AU - Lilja, David J
PY - 2009
Y1 - 2009
N2 - Solid State Disks (SSDs) using NAND flash memory are increasingly being adopted in the high-end servers of data-centers to improve performance of the I/O-intensive applications. Compared to the traditional enterprise class hard disks, SSDs provide faster read performance, lower cooling cost, and higher power efficiency. However, write performance of a flash based SSD can be up to an order of magnitude slower than its read performance. Furthermore, frequent write operations degrade the lifetime of flash memory. A nonvolatile cache can greatly help to solve these problems. Although a RAM cache is relative high in cost, it has successfully eliminated the performance gap between fast CPU and slow magnetic disk. Similarly, a nonvolatile cache in an SSD can alleviate the disparity between the flash memory's read and write performance. A small write cache that reduces the number of flash block erase operations, can lead to substantial performance gain for write-intensive applications and can extend the overall lifetime of flash based SSDs. This paper presents a novel write caching algorithm, the Large Block CLOCK (LB-CLOCK) algorithm, which considers 'recency' and 'block space utilization' metrics to make cache management decisions. LB-CLOCK dynamically varies the priority between these two metrics to adapt to changes in workload characteristics. Our simulation based experimental results show that LB-CLOCK outperforms the best known existing flash caching algorithms for a wide range of workloads.
AB - Solid State Disks (SSDs) using NAND flash memory are increasingly being adopted in the high-end servers of data-centers to improve performance of the I/O-intensive applications. Compared to the traditional enterprise class hard disks, SSDs provide faster read performance, lower cooling cost, and higher power efficiency. However, write performance of a flash based SSD can be up to an order of magnitude slower than its read performance. Furthermore, frequent write operations degrade the lifetime of flash memory. A nonvolatile cache can greatly help to solve these problems. Although a RAM cache is relative high in cost, it has successfully eliminated the performance gap between fast CPU and slow magnetic disk. Similarly, a nonvolatile cache in an SSD can alleviate the disparity between the flash memory's read and write performance. A small write cache that reduces the number of flash block erase operations, can lead to substantial performance gain for write-intensive applications and can extend the overall lifetime of flash based SSDs. This paper presents a novel write caching algorithm, the Large Block CLOCK (LB-CLOCK) algorithm, which considers 'recency' and 'block space utilization' metrics to make cache management decisions. LB-CLOCK dynamically varies the priority between these two metrics to adapt to changes in workload characteristics. Our simulation based experimental results show that LB-CLOCK outperforms the best known existing flash caching algorithms for a wide range of workloads.
UR - http://www.scopus.com/inward/record.url?scp=76349122195&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76349122195&partnerID=8YFLogxK
U2 - 10.1109/MASCOT.2009.5366737
DO - 10.1109/MASCOT.2009.5366737
M3 - Conference contribution
AN - SCOPUS:76349122195
SN - 9781424449262
T3 - Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
SP - 143
EP - 151
BT - 2009 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2009
Y2 - 21 September 2009 through 23 September 2009
ER -