Distributed Programming for the Cloud - Large Scale and Big Data: Processing and Management - page 104

101. Ahmed Metwally and Christos Faloutsos. V-SMART-Join: A scalable MapReduce
framework for all-pair similarity joins of multisets and vectors. PVLDB , 5(8):704-715,
2012.
102. Gianmarco De Francisci Morales, Aristides Gionis, and Mauro Sozio. Social content
matching in MapReduce. PVLDB , 4(7):460-469, 2011.
103. Kristi Morton, Magdalena Balazinska, and Dan Grossman. ParaTimer: A progress indi-
cator for MapReduce DAGs. In SIGMOD Conference , pp. 507-518, 2010.
104. Kristi Morton, Abram Friesen, Magdalena Balazinska, and Dan Grossman. Estimating
the progress of MapReduce pipelines. In ICDE , pp. 681-684, 2010.
105. Jaeseok Myung, Jongheum Yeon, and Sang Goo Lee. SPARQL basic graph pattern pro-
cessing with iterative MapReduce. In MDAC , 2010.
106. Thomas Neumann and Gerhard Weikum. RDF-3X: A RISC-style engine for RDF.
PVLDB , 1(1), 2008.
107. Tomasz Nykiel, Michalis Potamias, Chaitanya Mishra, George Kollios, and Nick
Koudas. MRShare: Sharing across multiple queries in MapReduce. PVLDB , 3(1):494-
505, 2010.
108. Martin Odersky, Lex Spoon, and Bill Venners. Programming in Scala: A Comprehensive
Step-by-Step Guide . Artima, 2011.
109. Christopher Olston, Benjamin Reed, Utkarsh Srivastava, Ravi Kumar, and Andrew
Tomkins. Pig latin: A not-so-foreign language for data processing. In SIGMOD ,
pp. 1099-1110, 2008.
110. Biswanath Panda, Joshua Herbach, Sugato Basu, and Roberto J. Bayardo. PLANET:
Massively parallel learning of tree ensembles with MapReduce. PVLDB , 2(2):1426-
1437, 2009.
111. Spiros Papadimitriou and Jimeng Sun. DisCo: Distributed co-clustering with Map-
Reduce: A case study towards petabyte-scale end-to-end mining. In ICDM , pp. 512-521,
2008.
112. David A. Patterson. Technical perspective: The data center is the computer.
Communications of the ACM , 51(1):105, 2008.
113. Andrew Pavlo, Erik Paulson, Alexander Rasin, Daniel J. Abadi, David J. DeWitt,
Samuel Madden, and Michael Stonebraker. A comparison of approaches to large-scale
data analysis. In SIGMOD , pp. 165-178, 2009.
114. Rob Pike, Sean Dorward, Robert Griesemer, and Sean Quinlan. Interpreting the data:
Parallel analysis with Sawzall. Scientific Programming , 13(4):277-298, 2005.
115. Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel, Jörg Schad, and Jens Dittrich. RAFT at
work: Speeding-up mapreduce applications under task and node failures. In SIGMOD
Conference , pp. 1225-1228, 2011.
116. Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel, Jörg Schad, and Jens Dittrich. RAFTing
MapReduce: Fast recovery on the RAFT. In ICDE , pp. 589-600, 2011.
117. Padmashree Ravindra, HyeongSik Kim, and Kemafor Anyanwu. An intermediate alge-
bra for optimizing RDF graph pattern matching on MapReduce. In ESWC (2) , pp. 46-61,
2011.
118. Alexander Schätzle, Martin Przyjaciel-Zablocki, Thomas Hornung, and Georg Lausen.
PigSPARQL: Mapping SPARQL to Pig Latin. In SWIM , pp. 65-84, 2011.
119. Patricia G. Selinger, Morton M. Astrahan, Donald D. Chamberlin, Raymond A. Lorie,
and Thomas G. Price. Access path selection in a relational database management sys-
tem. In SIGMOD Conference , pp. 23-34, 1979.
120. Michael Stonebraker. The case for shared nothing. IEEE Database Engineering Bulletin ,
9(1):4-9, 1986.
121. Michael Stonebraker, Daniel J. Abadi, David J. DeWitt, Samuel Madden, Erik Paulson,
Andrew Pavlo, and Alexander Rasin. MapReduce and parallel DBMSs: Friends or foes?
Communications of the ACM , 53(1):64-71, 2010.