[1] |
NISHTALA R, FUGAL H, GRIMM S, et al.Scaling memcache at facebook[C]// Presented as part of the 10th USENIX Symposium on Networked System Design and Implementation. 2013: 385-398.
|
[2] |
O’NEIL P, CHENG E, GAWLICK D, et al. The log-structured merge-tree (lsm-tree)[J]. Acta Informatica, 1996, 33(4):351-385.
|
[3] |
GHEMAWAT S, DEAN J. LevelDB[EB/OL]. [2020-06-01]. https://github.com/google/leveldb.
|
[4] |
CHANG F, DEAN J, GHEMAWAT S, et al. Bigtable: A distributed storage system for structured data[J]. ACM Transactions on Computer Systems, 2008, 26(2):1-24.
|
[5] |
Facebook Database Engineering Team. RocksDB[EB/OL]. [2020-06-01]. https://github.com/facebook/rocksdb.
|
[6] |
RAJU P, KADEKODI R, CHIDAMBARAM V, et al. Pebblesdb: Building key-value stores using fragmented log-structured merge trees[C]// Proceedings of the 26th Symposium on Operating Systems Principles. 2017: 497-514.
|
[7] |
WU X, XU Y, SHAO Z, et al. Lsm-trie: An lsm-tree-based ultra-large key-value store for small data items[C]// 2015 USENIX Annual Technical Conference. 2015: 71-82.
|
[8] |
LU L, PILLAIT S, GOPALAKRISHNAN H, et al. Wisckey: Separating keys from values in ssd-conscious storage[J]. ACM Transactions on Storage, 2017, 13(1): 1-28.
|
[9] |
CAO Z, DONG S, VEMURI S, et al.Characterizing, modeling, and benchmarking rocksdb key-value workloads at facebook[C]// 18th USENIX Conference on File and Storage Technologies. 2020: 209-22.
|
[10] |
MATSUNOBU Y. Innodb to myrocks migration in main mysql database at facebook[C]// USENIX Association, May 2017.
|
[11] |
SEARS R, RAMAKRISHNAN R. BLSM: A general purpose log structured merge tree[C]// Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. 2012: 217-228.
|
[12] |
KIRSCH A, MITZENMACHER M. Less hashing, same performance: Building a better bloom filter[C]// European Symposium on Algorithms. Springer, 2006: 456-467.
|
[13] |
ATIKOGLU B, XU Y, FRACHTENBERG E, et al. Workload analysis of a large-scale key-value store[C]// Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems. 2012: 53-64.
|
[14] |
CHANH H, LIANG C J M, LI Y, et al. Hashkv: Enabling efficient updates inkv storage via hashing[C]// 2018 USENIX Annual Technical Conference. 2018: 1007-1019.
|
[15] |
COOPER B F, SILBERSTEIN A, TAM E, et al. Benchmarking cloud serving systems with YCSB[C]// Proceedings of the 1st ACM Symposium on Cloud Computing. 2010: 143-154.
|
[1] |
NISHTALA R, FUGAL H, GRIMM S, et al.Scaling memcache at facebook[C]// Presented as part of the 10th USENIX Symposium on Networked System Design and Implementation. 2013: 385-398.
|
[2] |
O’NEIL P, CHENG E, GAWLICK D, et al. The log-structured merge-tree (lsm-tree)[J]. Acta Informatica, 1996, 33(4):351-385.
|
[3] |
GHEMAWAT S, DEAN J. LevelDB[EB/OL]. [2020-06-01]. https://github.com/google/leveldb.
|
[4] |
CHANG F, DEAN J, GHEMAWAT S, et al. Bigtable: A distributed storage system for structured data[J]. ACM Transactions on Computer Systems, 2008, 26(2):1-24.
|
[5] |
Facebook Database Engineering Team. RocksDB[EB/OL]. [2020-06-01]. https://github.com/facebook/rocksdb.
|
[6] |
RAJU P, KADEKODI R, CHIDAMBARAM V, et al. Pebblesdb: Building key-value stores using fragmented log-structured merge trees[C]// Proceedings of the 26th Symposium on Operating Systems Principles. 2017: 497-514.
|
[7] |
WU X, XU Y, SHAO Z, et al. Lsm-trie: An lsm-tree-based ultra-large key-value store for small data items[C]// 2015 USENIX Annual Technical Conference. 2015: 71-82.
|
[8] |
LU L, PILLAIT S, GOPALAKRISHNAN H, et al. Wisckey: Separating keys from values in ssd-conscious storage[J]. ACM Transactions on Storage, 2017, 13(1): 1-28.
|
[9] |
CAO Z, DONG S, VEMURI S, et al.Characterizing, modeling, and benchmarking rocksdb key-value workloads at facebook[C]// 18th USENIX Conference on File and Storage Technologies. 2020: 209-22.
|
[10] |
MATSUNOBU Y. Innodb to myrocks migration in main mysql database at facebook[C]// USENIX Association, May 2017.
|
[11] |
SEARS R, RAMAKRISHNAN R. BLSM: A general purpose log structured merge tree[C]// Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. 2012: 217-228.
|
[12] |
KIRSCH A, MITZENMACHER M. Less hashing, same performance: Building a better bloom filter[C]// European Symposium on Algorithms. Springer, 2006: 456-467.
|
[13] |
ATIKOGLU B, XU Y, FRACHTENBERG E, et al. Workload analysis of a large-scale key-value store[C]// Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems. 2012: 53-64.
|
[14] |
CHANH H, LIANG C J M, LI Y, et al. Hashkv: Enabling efficient updates inkv storage via hashing[C]// 2018 USENIX Annual Technical Conference. 2018: 1007-1019.
|
[15] |
COOPER B F, SILBERSTEIN A, TAM E, et al. Benchmarking cloud serving systems with YCSB[C]// Proceedings of the 1st ACM Symposium on Cloud Computing. 2010: 143-154.
|