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

We present MaxMem, a tiered main memory management system that aims tomaximize Big Data application colocation and performance. MaxMem uses anapplication-agnostic and lightweight memory occupancy control mechanism basedon fast memory miss ratios to provide application QoS under increasingcolocation. By relying on memory access sampling and binning to quicklyidentify per-process memory heat gradients, MaxMem maximizes performance formany applications sharing tiered main memory simultaneously. MaxMem is designedas a user-space memory manager to be easily modifiable and extensible, withoutcomplex kernel code development. On a system with tiered main memory consistingof DRAM and Intel Optane persistent memory modules, our evaluation confirmsthat MaxMem provides 11% and 38% better throughput and up to 80% and an orderof magnitude lower 99th percentile latency than HeMem and Linux AutoNUMA,respectively, with a Big Data key-value store in dynamic colocation scenarios.

MaxMem: Colocation and Performance for Big Data Applications on Tiered Main Memory Servers