@article{
 title = {Upsortable: Programming Top-K Queries Over Data Streams},
 type = {article},
 year = {2017},
 identifiers = {[object Object]},
 pages = {1873-1876},
 id = {347ab092-27b9-3782-9d83-327caaf3ddd6},
 created = {2018-01-04T18:05:59.772Z},
 file_attached = {true},
 profile_id = {0ecaa748-3fac-3117-bdf6-9c4c3c7996d4},
 group_id = {d5687afc-7996-37cd-8cc9-b955ea15e0aa},
 last_modified = {2018-01-10T17:12:33.383Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Subercaze2017a},
 private_publication = {false},
 abstract = {Top-k queries over data streams is a well studied problem. There exists numerous systems allowing to process contin- uous queries over sliding windows. At the opposite, non- append only streams call for ad-hoc solutions, e.g. tailor- made solutions implemented in a mainstream programming language. In the meantime, the Stream API and lambda expressions have been added in Java 8, thus gaining pow- erful operations for data stream processing. However, the Java Collections Framework does not provide data struc- tures to safely and conveniently support sorted collections of evolving data. In this paper, we demonstrate Upsortable, an annotation-based approach that allows to use existing sorted collections from the standard Java API for dynamic data management. Our approach relies on a combination of pre-compilation abstract syntax tree modifications and runtime analysis of bytecode. Upsortable offers the devel- oper a safe and time-efficient solution for developing top-k queries on data streams while keeping a full compatibility with standard Java.},
 bibtype = {article},
 author = {Subercaze, Julien and Gravier, Christophe and Gillani, Syed and Kammoun, Abderrahmen},
 journal = {Proceedings of the VLDB Endowment}
}

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