Special issue on best papers of VLDB 2014

H. V. Jagadish, Aoying Zhou
2015 The VLDB journal  
The VLDB conference is a premier venue for presenting advances in the research and practice of data management. The VLDB 2014 conference took place in Hangzhou, China, in September 2014. Papers for the VLDB conference are chosen through a year-round reviewing process with cutoff dates for conference inclusion. The VLDB 2014 conference roughly coincided with Volume 7 of PVLDB, which received 695 submissions. Of these, 139 were accepted, but 21 were accepted too late for inclusion in VLDB 2014.
more » ... e remaining 118 were presented at VLDB 2014. In addition, there were 47 papers from PVLDB Vol. 6 presented at VLDB 2014, for a total of 165 papers. A best paper committee, comprising Dimitris Papadias (Chair), Jayant Haritsa, and Kian-Lee Tan, chose seven papers out of these 165 to invite for inclusion in VLDB Journal. Of these seven, five papers were finally accepted in extended form for publication in this special issue, after two additional rounds of review. These papers provide a nice sampling of the rich frontier of database research today, touching upon five high points, each in a very distinct sub-area. In today's era of Big Data, Hadoop-style map-reduce implementations are everywhere. However, these implementations make strong assumptions about the structure of the data and the computation, rendering them unsuitable for many practical situations. The epiC system, described in epiC: an Extensible and Scalable System for Processing Big Data
doi:10.1007/s00778-015-0399-9 fatcat:z5lxt7irmbhaxnoeybt2iq6qvq