[1] |
Apache Hadoop. Welcome to apache hadoop[EB/OL]. https://hadoop.apache.org/.
|
[2] |
Spark. Lightning-fast cluster computing[EB/OL]. https://spark.apache.org/.
|
[3] |
Zaharia M, Chowdhury M, Franklin M J, et al. Spark: Cluster computing with working sets[C]// Proceedings of the 2nd USENIX Conference on Hot Ttopics in Cloud Computing. Boston, USA: USENIX, 2010: 10-14.
|
[4] |
Xin R S, Rosen J, Zaharia M, et al. Shark: SQL and rich analytics at scale[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. New York, USA: ACM Press, 2013:13-24.
|
[5] |
Abouzeid A, Bajda-Pawlikowski K, Abadi D, et al. HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads[J]. Proceedings of the VLDB Endowment, 2009, 2(1): 922-933.
|
[6] |
Jiang D W, Ooi B C, Shi L, et al. The performance of MapReduce: An in-depth study[J]. Proceedings of the VLDB Endowment, 2010, 3(1-2): 472-483.
|
[7] |
Dittrich J, Quiané-Ruiz J A, Jindal A, et al. Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing) [J]. Proceedings of the VLDB Endowment, 2010, 3(1-2): 515-529.
|
[8] |
Eltabakh M Y, zcan F, Sismanis Y, et al. Eagle-eyed elephant: Split-oriented indexing in Hadoop[C]// Proceedings of the 16th International Conference on Extending Database Technology. Genoa, Italy: ACM Press, 2013: 89-100.
|
[9] |
Liu Y, Hu S L, Rabl T, et al. DGFIndex for smart grid: Enhancing hive with a cost-effective multidimensional range index[C]// 40th International Conference on VLDB. Hangzhou, China: ACM Press, 2014: 1496-1507.
|
[10] |
宋振伟. 用电信息采集系统数据库的云存储设计[D].山东大学, 2014.
|
[11] |
彭小圣,邓迪元,程时杰,等. 面向智能电网应用的电力大数据关键技术[J]. 中国电机工程学报. 2015, 35(3): 503-511.Peng X S, Deng D Y, Cheng S J, et al. Key technologies of electric power big data and its application prospects in smart grid[J]. Proceedings of the CSEE, 2015, 35(3): 503-511.
|
[12] |
Apache HiveTM[EB/OL]. http://hive.apache.org/.
|
[13] |
Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters[C]// Proceedings of the 6th Conference on Symposium on Operating Systems Design & Implementation. ACM Press, 2004: 137-149.
|
[14] |
Apache Oozie. Apache Oozie workflow scheduler for Hadoop[EB/OL]. http://oozie.apache.org.)
|
[1] |
Apache Hadoop. Welcome to apache hadoop[EB/OL]. https://hadoop.apache.org/.
|
[2] |
Spark. Lightning-fast cluster computing[EB/OL]. https://spark.apache.org/.
|
[3] |
Zaharia M, Chowdhury M, Franklin M J, et al. Spark: Cluster computing with working sets[C]// Proceedings of the 2nd USENIX Conference on Hot Ttopics in Cloud Computing. Boston, USA: USENIX, 2010: 10-14.
|
[4] |
Xin R S, Rosen J, Zaharia M, et al. Shark: SQL and rich analytics at scale[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. New York, USA: ACM Press, 2013:13-24.
|
[5] |
Abouzeid A, Bajda-Pawlikowski K, Abadi D, et al. HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads[J]. Proceedings of the VLDB Endowment, 2009, 2(1): 922-933.
|
[6] |
Jiang D W, Ooi B C, Shi L, et al. The performance of MapReduce: An in-depth study[J]. Proceedings of the VLDB Endowment, 2010, 3(1-2): 472-483.
|
[7] |
Dittrich J, Quiané-Ruiz J A, Jindal A, et al. Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing) [J]. Proceedings of the VLDB Endowment, 2010, 3(1-2): 515-529.
|
[8] |
Eltabakh M Y, zcan F, Sismanis Y, et al. Eagle-eyed elephant: Split-oriented indexing in Hadoop[C]// Proceedings of the 16th International Conference on Extending Database Technology. Genoa, Italy: ACM Press, 2013: 89-100.
|
[9] |
Liu Y, Hu S L, Rabl T, et al. DGFIndex for smart grid: Enhancing hive with a cost-effective multidimensional range index[C]// 40th International Conference on VLDB. Hangzhou, China: ACM Press, 2014: 1496-1507.
|
[10] |
宋振伟. 用电信息采集系统数据库的云存储设计[D].山东大学, 2014.
|
[11] |
彭小圣,邓迪元,程时杰,等. 面向智能电网应用的电力大数据关键技术[J]. 中国电机工程学报. 2015, 35(3): 503-511.Peng X S, Deng D Y, Cheng S J, et al. Key technologies of electric power big data and its application prospects in smart grid[J]. Proceedings of the CSEE, 2015, 35(3): 503-511.
|
[12] |
Apache HiveTM[EB/OL]. http://hive.apache.org/.
|
[13] |
Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters[C]// Proceedings of the 6th Conference on Symposium on Operating Systems Design & Implementation. ACM Press, 2004: 137-149.
|
[14] |
Apache Oozie. Apache Oozie workflow scheduler for Hadoop[EB/OL]. http://oozie.apache.org.)
|