D. J. Abadi, Y. Ahmad, M. Balazinska, U. Çetintemel, M. Cherniack et al., Zdonik. The design of the borealis stream processing engine, CIDR, pp.277-289, 2005.

S. Abbar, Real-time recommendation of diverse related articles, Proceedings of the 22nd international conference on World Wide Web, WWW '13, pp.1-12, 2013.
DOI : 10.1145/1060745.1060754
URL : https://hal.archives-ouvertes.fr/hal-00923540

N. Foto, J. D. Afrati, and . Ullman, Optimizing joins in a map-reduce environment, EDBT, pp.99-110, 2010.

N. Foto, J. D. Afrati, and . Ullman, Optimizing multiway joins in a map-reduce environment, IEEE Trans. Knowl. Data Eng, vol.23, issue.9, pp.1282-1298, 2011.

J. Agrawal, Y. Diao, D. Gyllstrom, and N. Immerman, Efficient pattern matching over event streams, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.147-160, 2008.
DOI : 10.1145/1376616.1376634
URL : http://spire.cs.umass.edu/Papers/[4]Efficient Pattern Matching over Event Streams (SIGMOD 2008).pdf

J. F. Allen, Maintaining knowledge about temporal intervals, Communications of the ACM, vol.26, issue.11, pp.832-843, 1983.
DOI : 10.1145/182.358434

A. Anagnostopoulos, Sampling search-engine results, 2006.
DOI : 10.1007/s11280-006-0222-z
URL : http://www.www2005.org/cdrom/docs/p245.pdf

R. Ananthanarayanan, V. Basker, S. Das, A. Gupta, H. Jiang et al., Photon, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, pp.577-588, 2013.
DOI : 10.1145/2463676.2465272

E. M. Arkin, Approximating the maximum quadratic assignment problem, Information Processing Letters, vol.77, issue.1, pp.13-16, 2001.
DOI : 10.1016/S0020-0190(00)00151-4
URL : http://www.brics.dk/~sviri/papers/qap.ps

G. Ausiello, Approximation preserving reductions, Complexity and Approximation, 1999.
DOI : 10.1007/978-3-642-58412-1_8

B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, Models and issues in data stream systems, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '02, pp.1-16, 2002.
DOI : 10.1145/543613.543615
URL : http://infolab.usc.edu/csci599/Fall2002/paper/DML2_streams-issues.pdf

B. Babcock and C. Olston, Distributed top-k monitoring, Proceedings of the 2003 ACM SIGMOD international conference on on Management of data , SIGMOD '03, pp.28-39, 2003.
DOI : 10.1145/872757.872764

N. Beckmann, H. Kriegel, R. Schneider, and B. Seeger, The r*-tree: An efficient and robust access method for points and rectangles, SIGMOD, pp.322-331, 1990.

B. Benjamin, A. J. Bederson, and . Quinn, Web workers unite! addressing challenges of online laborers, CHI, pp.97-106, 2011.

A. Besicovitch, On a General Metric Property of Summable Functions, Journal of the London Mathematical Society, vol.1, issue.2, pp.120-128, 1926.
DOI : 10.1112/jlms/s1-1.2.120

S. Blanas, J. M. Patel, E. J. Vuk-ercegovac-rao, Y. Shekita, and . Tian, A comparison of join algorithms for log processing in MaPreduce, Proceedings of the 2010 international conference on Management of data, SIGMOD '10, pp.975-986, 2010.
DOI : 10.1145/1807167.1807273

A. Borodin, H. C. Lee, and Y. Ye, Max-sum diversification, monotone submodular functions and dynamic updates, PODS, pp.155-166, 2012.
DOI : 10.1145/2213556.2213580
URL : http://www.cs.toronto.edu/~bor/pods-arXiv-version.pdf

K. Selçuk-candan, J. W. Kim, P. Nagarkar, M. Nagendra, and R. Yu, RanKloud: Scalable Multimedia Data Processing in Server Clusters, IEEE Multimedia, vol.18, issue.1, pp.64-77, 2011.
DOI : 10.1109/MMUL.2010.70

P. Carbone, A. Katsifodimos, S. Ewen, V. Markl, S. Haridi et al., Apache flink TM : Stream and batch processing in a single engine, IEEE Data Eng. Bull, vol.38, issue.4, pp.28-38, 2015.

J. G. Carbonell and J. Goldstein, The use of MMR, diversity-based reranking for reordering documents and producing summaries, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, 1998.
DOI : 10.1145/290941.291025

J. Michael, D. Carey, and . Kossmann, On saying "enough already!" in SQL, SIGMOD, pp.219-230, 1997.

G. Carpaneto, Algorithms and codes for the assignment problem, Annals of Operations Research, vol.1, issue.1, pp.191-223, 1988.
DOI : 10.1007/978-3-642-51576-7

D. Chandler and A. Kapelner, Breaking monotony with meaning: Motivation in crowdsourcing markets. CoRR, abs, 1210.

B. Chandra and M. M. Halldórsson, Approximation Algorithms for Dispersion Problems, Journal of Algorithms, vol.38, issue.2, pp.438-465, 2001.
DOI : 10.1006/jagm.2000.1145
URL : http://www.raunvis.hi.is/~mmh/Papers/jrev.ps

K. Chen-chuan, S. Chang, and . Hwang, Minimal probing: supporting expensive predicates for top-k queries, SIGMOD, pp.346-357, 2002.

O. Chapelle, Intent-based diversification of web search results: metrics and algorithms, Information Retrieval, vol.20, issue.4, pp.572-592, 2011.
DOI : 10.1145/582415.582418

B. Chawda, H. Gupta, S. Negi, T. A. Faruquie, L. Venkata et al., Processing interval joins on map-reduce, EDBT, pp.463-474, 2014.

M. Chen, S. Mao, and Y. Liu, Big Data: A Survey, Mobile Networks and Applications, vol.16, issue.6, pp.171-209, 2014.
DOI : 10.1145/2110363.2110414

A. Cornuéjols and L. Miclet, Apprentissage artificiel: concepts et algorithmes, Editions Eyrolles, 2011.

G. Cugola and A. Margara, Processing flows of information, ACM Computing Surveys, vol.44, issue.3, pp.1-1562, 2012.
DOI : 10.1145/2187671.2187677

P. Dai, J. M. Rzeszotarski, P. Paritosh, and E. H. Chi, And Now for Something Completely Different, Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW '15, pp.628-638, 2015.
DOI : 10.1007/s004269900003

J. Dean and S. Ghemawat, MapReduce, OSDI, pp.137-150, 2004.
DOI : 10.14293/S2199-1006.1.SOR-UNCAT.AUNHT8.v1.RBZFIB

A. Dignös, M. H. Böhlen, and J. Gamper, Overlap interval partition join, Proceedings of the 2014 ACM SIGMOD international conference on Management of data, SIGMOD '14, pp.1459-1470, 2014.
DOI : 10.1145/2588555.2612175

C. Doulkeridis and K. Nørvåg, On saying "enough already!" in MapReduce, Proceedings of the 1st International Workshop on Cloud Intelligence, Cloud-I '12, 2012.
DOI : 10.1145/2347673.2347680

C. Doulkeridis and A. Vlachou, Kjetil Nørvåg, Yannis Kotidis, and Neoklis Polyzotis Processing of rank joins in highly distributed systems, ICDE, pp.606-617, 2012.

E. Doratha, S. Drake, and . Hougardy, A simple approximation algorithm for the weighted matching problem, Inf. Process. Lett, pp.211-213, 2003.

M. Drozdowski, Scheduling for Parallel Processing Computer Communications and Networks, 2009.

R. Duan and S. Pettie, Linear-Time Approximation for Maximum Weight Matching, Journal of the ACM, vol.61, issue.1, 2014.
DOI : 10.6028/jres.069B.009
URL : http://web.eecs.umich.edu/~pettie/papers/ApproxMWM-JACM.pdf

D. Dubois, A. Hadjali, and H. Prade, Fuzziness and uncertainty in temporal reasoning, J. UCS, vol.9, issue.9, p.1168, 2003.

K. El-arini, Turning down the noise in the blogosphere, SIGKDD, pp.289-298, 2009.

M. Elseidy, A. Elguindy, A. Vitorovic, and C. Koch, Scalable and adaptive online joins, Proceedings of the VLDB Endowment, vol.7, issue.6, pp.441-452, 2014.
DOI : 10.14778/2732279.2732281
URL : http://infoscience.epfl.ch/record/190035/files/paper.pdf

J. Enderle, M. Hampel, and T. Seidl, Joining interval data in relational databases, Proceedings of the 2004 ACM SIGMOD international conference on Management of data , SIGMOD '04, pp.683-694, 2004.
DOI : 10.1145/1007568.1007645

R. Fagin, Combining Fuzzy Information from Multiple Systems, PODS, pp.216-226, 1996.
DOI : 10.1006/jcss.1998.1600
URL : https://doi.org/10.1006/jcss.1998.1600

R. Fagin, A. Lotem, and M. Naor, Optimal aggregation algorithms for middleware, PODS, pp.102-113, 2001.
DOI : 10.1145/375551.375567

J. Fan, G. Li, B. C. Ooi, K. Tan, and J. Feng, iCrowd, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.1015-1030, 2015.
DOI : 10.14778/2021017.2021020

S. Faradani, B. Hartmann, and P. G. Ipeirotis, What's the right price? pricing tasks for finishing on time, AAAI, 2011.

P. Sándor, H. Fekete, and . Meijer, Maximum dispersion and geometric maximum weight cliques. CoRR, cs, 2003.

A. Thomas, M. Feo, and . Khellaf, A class of bounded approximation algorithms for graph partitioning. Networks, pp.181-195, 1990.

J. Finger and N. Polyzotis, Robust and efficient algorithms for rank join evaluation, Proceedings of the 35th SIGMOD international conference on Management of data, SIGMOD '09, pp.415-428, 2009.
DOI : 10.1145/1559845.1559890
URL : http://www.cse.ucsc.edu/~alkis/papers/sigmod568-finger.pdf

A. Raphael, J. L. Finkel, and . Bentley, Quad trees: A data structure for retrieval on composite keys, Acta Inf, vol.4, pp.1-9, 1974.

I. Flouris, N. Giatrakos, A. Deligiannakis, M. N. Garofalakis, M. Kamp et al., Issues in complex event processing: Status and prospects in the Big Data era, Journal of Systems and Software, vol.127, pp.217-236, 2017.
DOI : 10.1016/j.jss.2016.06.011

D. Gao, C. S. Jensen, R. T. Snodgrass, and M. D. Soo, Join operations in temporal databases, The VLDB Journal, vol.25, issue.1, pp.2-29, 2005.
DOI : 10.1109/MC.1986.1663327
URL : http://www.cs.auc.dk/research/DP/tdb/TimeCenter/TimeCenterPublications/TR-71.pdf

Y. Gao and A. G. Parameswaran, Finish them!, Proceedings of the VLDB Endowment, vol.7, issue.14, pp.1965-1976, 2014.
DOI : 10.14778/2733085.2733101

M. R. Garey and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness, 1979.

L. Golab and M. T. Özsu, Issues in data stream management, ACM SIGMOD Record, vol.32, issue.2, pp.5-14, 2003.
DOI : 10.1145/776985.776986

L. Golab and M. T. Özsu, Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams, VLDB, pp.500-511, 2003.
DOI : 10.1016/B978-012722442-8/50051-3

S. Gollapudi and A. Sharma, An axiomatic approach for result diversification, Proceedings of the 18th international conference on World wide web, WWW '09, pp.381-390, 2009.
DOI : 10.1145/1526709.1526761

X. Gu, P. S. Yu, and H. Wang, Adaptive Load Diffusion for Multiway Windowed Stream Joins, 2007 IEEE 23rd International Conference on Data Engineering, pp.146-155, 2007.
DOI : 10.1109/ICDE.2007.367860

A. Guttman, R-trees: A dynamic index structure for spatial searching, SIGMOD, pp.47-57, 1984.

J. Hackman and G. R. Oldham, Motivation through the design of work: test of a theory, Organizational Behavior and Human Performance, vol.16, issue.2, pp.250-279, 1976.
DOI : 10.1016/0030-5073(76)90016-7

A. Moustafa, W. G. Hammad, A. K. Aref, and . Elmagarmid, Query processing of multi-way stream window joins, VLDB J, vol.17, issue.3, pp.469-488, 2008.

R. Hassin and S. Rubinstein, An improved approximation algorithm for the metric maximum clustering problem with given cluster sizes, Information Processing Letters, vol.98, issue.3, pp.92-95, 2006.
DOI : 10.1016/j.ipl.2005.12.002

R. Hassin, S. Rubinstein, and A. Tamir, Approximation algorithms for maximum dispersion, Operations Research Letters, vol.21, issue.3, pp.133-137, 1997.
DOI : 10.1016/S0167-6377(97)00034-5
URL : http://www.math.tau.ac.il/~shlom/dispersion.ps

K. Hata, A Glimpse Far into the Future, Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW '17, 2017.
DOI : 10.1109/MC.2006.196

C. Ho, S. Jabbari, and J. W. Vaughan, Adaptive task assignment for crowdsourced classification, ICML, pp.534-542, 2013.

C. Ho and J. W. Vaughan, Online task assignment in crowdsourcing markets, AAAI, 2012.

J. Horton and L. B. Chilton, The labor economics of paid crowdsourcing, Proceedings of the 11th ACM conference on Electronic commerce, EC '10, pp.209-218, 2010.
DOI : 10.1145/1807342.1807376

J. Howe, The rise of crowdsourcing. Wired magazine, pp.1-4, 2006.

F. Ihab, W. G. Ilyas, A. K. Aref, and . Elmagarmid, Joining ranked inputs in practice, VLDB, pp.950-961, 2002.

F. Ihab, W. G. Ilyas, A. K. Aref, and . Elmagarmid, Supporting top-k join queries in relational databases, VLDB, pp.754-765, 2003.

F. Ihab, G. Ilyas, M. A. Beskales, and . Soliman, A survey of top-k query processing techniques in relational database systems, ACM Comput. Surv, vol.4011, issue.4, pp.1-1158, 2008.

G. Panagiotis and . Ipeirotis, Analyzing the amazon mechanical turk marketplace, ACM Crossroads, vol.17, issue.2, pp.16-21, 2010.

A. Jacobs, The pathologies of big data, Communications of the ACM, vol.52, issue.8, pp.36-44, 2009.
DOI : 10.1145/1536616.1536632

Y. Ji, J. Sun, A. Nica, Z. Jerzak, G. Hackenbroich et al., Quality-driven disorder handling for m-way sliding window stream joins, 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp.493-504, 2016.
DOI : 10.1109/ICDE.2016.7498265
URL : http://arxiv.org/pdf/1703.07617

J. Kang, J. F. Naughton, and S. Viglas, Evaluating window joins over unbounded streams, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405), pp.341-352, 2003.
DOI : 10.1109/ICDE.2003.1260804
URL : http://www.cs.wisc.edu/niagara/papers/knv02-windowjoin.pdf

M. Kaufmann, P. Amin-amiri-manjili, P. M. Vagenas, D. Fischer, F. Kossmann et al., Timeline index, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, pp.1173-1184, 2013.
DOI : 10.1145/2463676.2465293

N. Kaufmann, T. Schulze, and D. Veit, More than fun and money. worker motivation in crowdsourcing -A study on mechanical turk, AMCIS, 2011.

H. Kellerer, U. Pferschy, and D. Pisinger, Knapsack problems, 2004.
DOI : 10.1007/978-3-540-24777-7

Y. Kim and K. Shim, Parallel Top-K Similarity Join Algorithms Using MapReduce, 2012 IEEE 28th International Conference on Data Engineering, pp.510-521, 2012.
DOI : 10.1109/ICDE.2012.87

A. Kittur, J. V. Nickerson, M. S. Bernstein, E. Gerber, A. D. Shaw et al., The future of crowd work, Proceedings of the 2013 conference on Computer supported cooperative work, CSCW '13, pp.1301-1318, 2013.
DOI : 10.1145/2441776.2441923

S. Kulkarni, N. Bhagat, M. Fu, V. Kedigehalli, C. Kellogg et al., Twitter Heron, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.239-250, 2015.
DOI : 10.1145/2588555.2595641

B. Li, A. Ghose, and P. G. Ipeirotis, Towards a theory model for product search, Proceedings of the 20th international conference on World wide web, WWW '11, pp.327-336, 2011.
DOI : 10.1145/1963405.1963453

F. Li, K. Yi, and W. Le, Top-k queries on temporal data, The VLDB Journal, vol.1, issue.1, pp.715-733, 2010.
DOI : 10.14778/1453856.1453953

M. Li, M. Mani, E. A. Rundensteiner, and T. Lin, Complex event pattern detection over streams with interval-based temporal semantics, Proceedings of the 5th ACM international conference on Distributed event-based system, DEBS '11, pp.291-302, 2011.
DOI : 10.1145/2002259.2002297

Q. Lin, B. C. Ooi, Z. Wang, and C. Yu, Scalable Distributed Stream Join Processing, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.811-825, 2015.
DOI : 10.1109/TKDE.2015.2427795

H. Lu, B. C. Ooi, and K. Tan, On spatially partitioned temporal join, VLDB, pp.546-557, 1994.

W. Lu, Y. Shen, S. Chen, and B. C. Ooi, Efficient processing of k nearest neighbor joins using MapReduce, Proceedings of the VLDB Endowment, vol.5, issue.10, pp.1016-1027, 2012.
DOI : 10.14778/2336664.2336674

D. B. Martin, B. V. Hanrahan, J. O. Neill, and N. Gupta, Being a turker, Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, CSCW '14, pp.224-235, 2014.
DOI : 10.1145/2531602.2531663

G. De, F. Morales, and A. Gionis, Streaming similarity self-join, PVLDB, vol.9, issue.10, pp.792-803, 2016.

K. Mouratidis, S. Bakiras, and D. Papadias, Continuous monitoring of top-k queries over sliding windows, Proceedings of the 2006 ACM SIGMOD international conference on Management of data , SIGMOD '06, pp.635-646, 2006.
DOI : 10.1145/1142473.1142544

V. Nagarajan and M. Sviridenko, On the maximum quadratic assignment problem, SODA, pp.516-524, 2009.
DOI : 10.1287/moor.1090.0418
URL : http://www.andrew.cmu.edu/~viswanat/papers/max-qap.pdf

A. Natsev, Y. Chang, J. R. Smith, C. Li, and J. S. Vitter, Supporting incremental join queries on ranked inputs, VLDB, pp.281-290, 2001.

N. Ntarmos, I. Patlakas, and P. Triantafillou, Rank join queries in NoSQL databases, Proceedings of the VLDB Endowment, vol.7, issue.7, pp.493-504, 2014.
DOI : 10.14778/2732286.2732287
URL : http://eprints.gla.ac.uk/89359/1/89359.pdf

O. Hans-jürgen, Relations between fuzzy time intervals, TIME, pp.44-51, 2004.

A. Okcan and M. Riedewald, Processing theta-joins using MapReduce, Proceedings of the 2011 international conference on Management of data, SIGMOD '11, pp.949-960, 2011.
DOI : 10.1145/1989323.1989423

Z. Chen, Addressing diverse user preferences in SQL-query-result navigation, Proceedings of the 2007 ACM SIGMOD international conference on Management of data , SIGMOD '07, 2007.
DOI : 10.1145/1247480.1247551
URL : http://userpages.umbc.edu/~zhchen/papers/sigmod07-chen-navigation.pdf

W. Palma, R. Akbarinia, E. Pacitti, and P. Valduriez, Dhtjoin: processing continuous join queries using DHT networks. Distributed and Parallel Databases, pp.291-317, 2009.
DOI : 10.1007/s10619-009-7054-7
URL : https://hal.archives-ouvertes.fr/inria-00410473

D. Piatov, S. Helmer, and A. Dignös, An interval join optimized for modern hardware, 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp.1098-1109, 2016.
DOI : 10.1109/ICDE.2016.7498316

J. Pilourdault, S. Amer-yahia, D. Lee, S. Basu, and R. , Motivation-aware task assignment in crowdsourcing, EDBT, pp.246-257, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01498801

J. Pilourdault, S. Amer-yahia, S. Basu-roy, and D. Lee, Holistic motivation-aware task assignment in crowdsourcing, Under Review

J. Pilourdault, V. Leroy, and S. Amer-yahia, Distributed Evaluation of Top-k Temporal Joins, Proceedings of the 2016 International Conference on Management of Data, SIGMOD '16, pp.1027-1039, 2016.
DOI : 10.14778/2350229.2350238
URL : https://hal.archives-ouvertes.fr/hal-01266188

Z. Qian, Y. He, C. Su, Z. Wu, H. Zhu et al., TimeStream, Proceedings of the 8th ACM European Conference on Computer Systems, EuroSys '13, pp.1-14, 2013.
DOI : 10.1145/2465351.2465353

H. Rahman, S. Basu-roy, and S. Thirumuruganathan, Sihem Amer- Yahia, and Gautam Das. Task assignment optimization in collaborative crowdsourcing, IEEE ICDM, pp.949-954, 2015.

S. Sekharipuram, . Ravi, J. Daniel, G. Rosenkrantz, and . Kumar-tayi, Heuristic and special case algorithms for dispersion problems, Operations Research, vol.42, issue.2, pp.299-310, 1994.

J. Rogstadius, V. Kostakos, A. Kittur, B. Smus, J. Laredo et al., An assessment of intrinsic and extrinsic motivation on task performance in crowdsourcing markets, ICWSM, 2011.

I. Senjuti-basu-roy, S. Lykourentzou, and . Thirumuruganathan, Task assignment optimization in knowledge-intensive crowdsourcing, The VLDB Journal, vol.9, issue.3, pp.467-491, 2015.
DOI : 10.1145/2442657.2442661

K. Schnaitter and N. Polyzotis, Evaluating rank joins with optimal cost, Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '08, pp.43-52, 2008.
DOI : 10.1145/1376916.1376924
URL : http://www.cse.ucsc.edu/~karlsch/pubs/pbrj-TR.pdf

S. Schockaert, M. D. Cock, and E. E. Kerre, Fuzzifying Allen's Temporal Interval Relations, IEEE Transactions on Fuzzy Systems, vol.16, issue.2, pp.517-533, 2008.
DOI : 10.1109/TFUZZ.2007.895960

N. Schultz-møller, M. Migliavacca, and P. R. Pietzuch, Distributed complex event processing with query rewriting, Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, DEBS '09, 2009.
DOI : 10.1145/1619258.1619264

G. Sfakianakis, I. Patlakas, N. Ntarmos, and P. Triantafillou, Interval indexing and querying on key-value cloud stores, 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp.805-816, 2013.
DOI : 10.1109/ICDE.2013.6544876

A. D. Shaw, J. J. Horton, and D. L. Chen, Designing incentives for inexpert human raters, CSCW, pp.275-284, 2011.
DOI : 10.2139/ssrn.1724518
URL : https://scholarship.law.duke.edu/cgi/viewcontent.cgi?article=2922&context=faculty_scholarship

Z. Shen, M. A. Cheema, X. Lin, W. Zhang, and H. Wang, A generic framework for top-k pairs and top-k objects queries over sliding windows, TKDE, vol.26, issue.6, pp.1349-1366, 2014.

A. Slivkins and J. W. Vaughan, Online decision making in crowdsourcing markets, ACM SIGecom Exchanges, vol.12, issue.2, pp.4-23, 2013.
DOI : 10.2307/2937956

M. Stonebraker, D. J. Abadi, D. J. Dewitt, S. Madden, E. Paulson et al., MapReduce and parallel DBMSs, Communications of the ACM, vol.53, issue.1, pp.64-71, 2010.
DOI : 10.1145/1629175.1629197
URL : http://dl.acm.org/ft_gateway.cfm?id=1629197&type=pdf

M. Stonebraker, U. Çetintemel, and S. B. Zdonik, The 8 requirements of real-time stream processing, ACM SIGMOD Record, vol.34, issue.4, pp.42-47, 2005.
DOI : 10.1145/1107499.1107504

J. Teubner and R. Müller, How soccer players would do stream joins, Proceedings of the 2011 international conference on Management of data, SIGMOD '11, pp.625-636, 2011.
DOI : 10.1145/1989323.1989389
URL : http://people.inf.ethz.ch/jteubner/publications/soccer-players/soccer-players.pdf

E. Vee, Efficient Computation of Diverse Query Results, 2008 IEEE 24th International Conference on Data Engineering, pp.228-236, 2008.
DOI : 10.1109/ICDE.2008.4497431
URL : http://infolab.stanford.edu/~usriv/papers/diversity.pdf

S. Viglas, J. F. Naughton, and J. Burger, Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources, VLDB, pp.285-296, 2003.
DOI : 10.1016/B978-012722442-8/50033-1

A. Vitorovic, M. Elseidy, K. Guliyev, K. Vu-minh, D. Espino et al., Squall, Proceedings of the VLDB Endowment, vol.9, issue.13, pp.1553-1556, 2016.
DOI : 10.14778/3007263.3007307

A. Vlachou, C. Doulkeridis, and Y. Kotidis, Angle-based space partitioning for efficient parallel skyline computation, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.227-238, 2008.
DOI : 10.1145/1376616.1376642
URL : http://pages.cs.aueb.gr/~kotidis/Publications/parallel-sigmod08.pdf

A. Vlachou and C. Doulkeridis, Kjetil Nørvåg, and Michalis Vazirgiannis. On efficient top-k query processing in highly distributed environments, SIGMOD, pp.753-764, 2008.

S. Wang and E. A. Rundensteiner, Scalable stream join processing with expensive predicates, Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology, EDBT '09, pp.299-310, 2009.
DOI : 10.1145/1516360.1516396

E. Wu, Y. Diao, and S. Rizvi, High-performance complex event processing over streams, Proceedings of the 2006 ACM SIGMOD international conference on Management of data , SIGMOD '06, pp.407-418, 2006.
DOI : 10.1145/1142473.1142520

M. Wu, J. Xu, X. Tang, and W. Lee, Top-k Monitoring in Wireless Sensor Networks, IEEE Transactions on Knowledge and Data Engineering, vol.19, issue.7, 2007.
DOI : 10.1109/TKDE.2007.1038

T. Wu, L. Chen, P. Hui, C. J. Zhang, and W. Li, Hear the whole story, Proceedings of the VLDB Endowment, vol.8, issue.5, pp.485-496, 2015.
DOI : 10.14778/2735479.2735482

M. Zaharia, T. Das, H. Li, S. Shenker, and I. Stoica, Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters, USENIX, 2012.
DOI : 10.21236/ada575859
URL : http://nma.berkeley.edu/ark:/28722/bk0012h7344

D. Zhang, V. J. Tsotras, and B. Seeger, Efficient temporal join processing using indices, ICDE, pp.103-113, 2002.

H. Zhang, Y. Diao, and N. Immerman, Recognizing patterns in streams with imprecise timestamps, PVLDB, vol.3, issue.1, pp.244-255, 2010.
DOI : 10.1016/j.is.2012.01.002
URL : http://www.cs.umass.edu/%7Eyanlei/publications/sase-vldb10.pdf

X. Zhang, L. Chen, and M. Wang, Efficient multi-way theta-join processing using MapReduce, Proceedings of the VLDB Endowment, vol.5, issue.11, pp.1184-1195, 2012.
DOI : 10.14778/2350229.2350238
URL : http://vldb.org/pvldb/vol5/p1184_xiaofeizhang_vldb2012.pdf

Y. Zheng, J. Wang, G. Li, R. Cheng, and J. Feng, QASCA, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.1031-1046, 2015.
DOI : 10.14778/2536360.2536374

Y. Zhou, Y. Yan, F. Yu, and A. Zhou, PMJoin: Optimizing Distributed Multi-way Stream Joins by Stream Partitioning, DASFAA, pp.325-341, 2006.
DOI : 10.1007/11733836_24
URL : http://lsirpeople.epfl.ch/yzhou/papers/dasfaa06.pdf

C. Ziegler, Improving recommendation lists through topic diversification, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.22-32, 2005.
DOI : 10.1145/1060745.1060754
URL : http://www.informatik.uni-freiburg.de/~cziegler/papers/WWW-05-CR.pdf