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

Chopping transactions into pieces is good for performance but may lead to non-serializable executions. Many researchers have reacted to this fact by either inventing new concurrency control mechanisms, weakening serializability, or both. We adopt a different approach. We assume a user whohas only the degree 2 and degree 3 consistency options offered by the vast majority of conventional database systems; and knows the set of transactions that may run during a certain interval (users are likely to have such knowledge for online or real-time transactional applications). Given this information, our algorithm finds the finest partitioning of a set of transactions TranSet with the following property; if the partitioned transactions execute serializably, then TranSet executes serializably. This permits users to obtain more concurrency while preserving correctness. Besides obtaining more inter-transaction concurrency, chopping transactions in this way can enhance intra-transaction parallelism. The algorithm is inexpensive, running inO(n x (e + m)) time using a naive implementation wheren is the number of edges in the conflict graph among the transactions, andm is the maximum number of accesses of any transaction. This makes it feasible to add as a tuning knob to practical systems.

Simple rational guidance for chopping up transactions