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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

NoSQL document stores are becoming increasingly popular as backends in webdevelopment. Not only do they scale out to large volumes of data, many systemsare even custom-tailored for this domain: NoSQL document stores like GoogleCloud Datastore have been designed to support massively parallel reads, andeven guarantee strong consistency in updating single data objects. However,strongly consistent updates cannot be implemented arbitrarily fast inlarge-scale distributed systems. Consequently, data objects that experiencehigh-frequent writes can turn into severe performance bottlenecks. In thispaper, we present AutoShard, a ready-to-use object mapper for Java applicationsrunning against NoSQL document stores. AutoShard's unique feature is itscapability to gracefully shard hot spot data objects to avoid write contention.Using AutoShard, developers can easily handle hot spot data objects by addingminimally intrusive annotations to their application code. Our experiments showthe significant impact of sharding on both the write throughput and theexecution time.

AutoShard -- Declaratively Managing Hot Spot Data Objects in NoSQL Document Stores