Distributed Programming for the Cloud - Large Scale and Big Data: Processing and Management - page 101

34. Rishan Chen, Xuetian Weng, Bingsheng He, and Mao Yang. Large graph processing in
the cloud. In SIGMOD , pp. 1123-1126, 2010.
35. Songting Chen. Cheetah: A high performance, custom data warehouse on top of
MapReduce. PVLDB , 3(2):1459-1468, 2010.
36. Hung Chih Yang, Ali Dasdan, Ruey-Lung Hsiao, and Douglas Stott Parker Jr.
Map-reduce-merge: Simplified relational data processing on large clusters. In SIGMOD ,
pp. 1029-1040, 2007.
37. Hung Chih Yang and D. Stott Parker. Traverse: Simplified indexing on large map-
reduce-merge clusters. In DASFAA , pp. 308-322, 2009.
38. Tyson Condie, David Chu, Joseph M. Hellerstein, and Petros Maniatis. Evita raced:
Metacompilation for declarative networks. PVLDB , 1(1):1153-1165, 2008.
39. Tyson Condie, Neil Conway, Peter Alvaro, Joseph M. Hellerstein, Khaled Elmeleegy,
and Russell Sears. MapReduce online. In NSDI , pp. 313-328, 2010.
40. Tyson Condie, Neil Conway, Peter Alvaro, Joseph M. Hellerstein, John Gerth, Justin
Talbot, Khaled Elmeleegy, and Russell Sears. Online aggregation and continuous query
support in MapReduce. In SIGMOD Conference , pp. 1115-1118, 2010.
41. Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina,
Julio López, U. Kang, and Christos Faloutsos. Clustering very large multi-dimensional
data sets with MapReduce. In KDD , pp. 690-698, 2011.
42. Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rainer Gemulla, Peter J. Haas, and John
McPherson. Ricardo: Integrating R and Hadoop. In SIGMOD , pp. 987-998, 2010.
43. Jeffrey Dean and Sanjay Ghemawat. MapReduce: Simplified data processing on large
clusters. In OSDI , pp. 137-150, 2004.
44. Jeffrey Dean and Sanjay Ghemawat. MapReduce: Simplified data processing on large
clusters. Communications of the ACM , 51(1):107-113, 2008.
45. Jeffrey Dean and Sanjay Ghemawat. MapReduce: A flexible data processing tool.
Communications of the ACM , 53(1):72-77, 2010.
46. David J. DeWitt and Jim Gray. Parallel database systems: The future of high perfor-
mance database systems. Communications of the ACM , 35(6):85-98, 1992.
47. Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, Alekh Jindal, Yagiz Kargin, Vinay Setty, and
Jörg Schad. Hadoop++: Making a yellow elephant run like a cheetah (without it even
noticing). PVLDB , 3(1):518-529, 2010.
48. Jaliya Ekanayake, Hui Li, Bingjing Zhang, Thilina Gunarathne, Seung-Hee Bae,
Judy Qiu, and Geoffrey Fox. Twister: A runtime for iterative MapReduce. In HPDC ,
pp. 810-818, 2010.
49. Iman Elghandour and Ashraf Aboulnaga. ReStore: Reusing results of MapReduce jobs.
PVLDB , 5(6):586-597, 2012.
50. Iman Elghandour and Ashraf Aboulnaga. ReStore: Reusing results of MapReduce jobs
in pig. In SIGMOD Conference , pp. 701-704, 2012.
51. Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özcan, Rainer Gemulla, Aljoscha
Krettek, and John McPherson. CoHadoop: Flexible data placement and its exploitation
in Hadoop. PVLDB , 4(9):575-585, 2011.
52. Alina Ene, Sungjin Im, and Benjamin Moseley. Fast clustering using MapReduce. In
KDD , pp. 681-689, 2011.
53. Leonidas Fegaras, Chengkai Li, Upa Gupta, and Jijo Philip. XML query optimization in
Map-Reduce. In WebDB , 2011.
54. Avrilia Floratou, Jignesh M. Patel, Eugene J. Shekita, and Sandeep Tata. Column-
oriented storage techniques for MapReduce. PVLDB , 4(7):419-429, 2011.
55. Eric Friedman, Peter M. Pawlowski, and John Cieslewicz. SQL/MapReduce: A practi-
cal approach to self-describing, polymorphic, and parallelizable user-defined functions.
PVLDB , 2(2):1402-1413, 2009.
56. Alan Gates. Programming Pig . O'Reilly Media, 2011.