iMapReduce - Large Scale and Big Data: Processing and Management - page 125

8. Karthik Kambatla, Naresh Rapolu, Suresh Jagannathan, and Ananth Grama.
Asynchronous algorithms in mapreduce. In Proceedings of the 2010 IEEE International
Conference on Cluster Computing (Cluster'10) , pages 245-254, 2010.
9. U Kang, Charalampos E. Tsourakakis, and Christos Faloutsos. Pegasus: A peta-scale
graph mining system implementation and observations. In Proceedings of the 9th IEEE
International Conference on Data Mining (ICDM'09) , pages 229-238, 2009.
10. Jimmy Lin and Michael Schatz. Design patterns for efficient graph algorithms in
mapreduce. In Proceedings of the 8th Workshop on Mining and Learning with Graphs
(MLG'10) , pages 78-85, 2010.
11. Stuart P. Lloyd. Least squares quantization in pcm. IEEE Transactions on Information
Theory , 28:129-136, 1982.
12. Dionysios Logothetis, Christopher Olston, Benjamin Reed, Kevin C. Webb, and Ken
Yocum. Stateful bulk processing for incremental analytics. In Proceedings of the 1st
ACM Symposium on Cloud Computing (SOCC'10) , pages 51-62, 2010.
13. Grzegorz Malewicz, Matthew H. Austern, Aart J.C. Bik, James C. Dehnert, Ilan Horn,
Naty Leiser, and Grzegorz Czajkowski. Pregel: A system for large-scale graph process-
ing. In Proceedings of the 28th ACM Symposium on Principles of Distributed Computing
(PODC'09) , pages 6-146, 2009.
14. Derek G. Murray and Steven Hand. Scripting the cloud with skywriting. In Proceedings
of the 2nd USENIX Conference on Hot Topics in Cloud Computing (HotCloud'10) ,
pages 12-12, 2010.
15. Derek G. Murray, Malte Schwarzkopf, Christopher Smowton, Steven Smith, Anil
Madhavapeddy, and Steven Hand. Ciel: A universal execution engine for distributed
dataflow computing. In NSDI'11 , 2011.
16. Daniel Peng and Frank Dabe. Large-scale incremental processing using distributed
transactions and notifications. In Proceedings of the 9th Conference on Symposium on
Opearting Systems Design and Implementation (OSDI'10) , pages 1-15, 2010.
17. Russell Power and Jinyang Li. Piccolo: Building fast, distributed programs with par-
titioned tables. In Proceedings of the 9th USENIX Symposium on Operating Systems
Design and Implementation (OSDI'10) , OSDI'10, pages 1-14, 2010.
18. Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy
McCauley, Michael J. Franklin, Scott Shenker, and Ion Stoica. Resilient distributed data
sets: A fault-tolerant abstraction for in-memory cluster computing. In Proceedings of
USEINX Symposium Networked Systems Design and Implementation (NSDI'12) , 2012.
19. Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz, and Ion Stoica.
Improving MapReduce performance in heterogeneous environments. In Proceedings
of the 8th USENIX Symposium on Operating Systems Design and Implementation
(OSDI'08) , pages 29-42, 2008.
20. Yanfeng Zhang, Qinxin Gao, Lixin Gao, and Cuirong Wang. iMapReduce: A distributed
computing framework for iterative computation. In Proceedings of the 1st International
Workshop on Data Intensive Computing in the Clouds (DataCloud'11) , pages 1112-
1121, 2011.
21. Yanfeng Zhang, Qinxin Gao, Lixin Gao, and Cuirong Wang. iMapReduce: A distributed
computing framework for iterative computation. Journal of Grid Computing , 10:47-68,
March 2012.
22. Yanfeng Zhang, Qixin Gao, Lixin Gao, and Cuirong Wang. Priter: A distributed frame-
work for prioritized iterative computations. In Proceedings of the 2nd ACM Symposium
on Cloud Computing (SOCC'11) , pages 13:1-13:14, 2011.