English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Distributed transactions on high-overhead TCP/IP-based networks wereconventionally considered to be prohibitively expensive and thus were avoidedat all costs. To that end, the primary goal of almost any existing partitioningscheme is to minimize the number of cross-partition transactions. However, withthe new generation of fast RDMA-enabled networks, this assumption is no longervalid. In fact, recent work has shown that distributed databases can scale evenwhen the majority of transactions are cross-partition. In this paper, we firstmake the case that the new bottleneck which hinders truly scalable transactionprocessing in modern RDMA-enabled databases is data contention, and thatoptimizing for data contention leads to different partitioning layouts thanoptimizing for the number of distributed transactions. We then present Chiller,a new approach to data partitioning and transaction execution, which aims tominimize data contention for both local and distributed transactions. Finally,we evaluate Chiller using various workloads, and show that our partitioning andexecution strategy outperforms traditional partitioning techniques which try toavoid distributed transactions, by up to a factor of 2.

Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks