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

As storage systems become increasingly heterogeneous and complex, it addsburdens on DBAs, causing suboptimal performance even after a lot of humanefforts have been made. In addition, existing monitoring-based storagemanagement by access pattern detections has difficulties to handle workloadsthat are highly dynamic and concurrent. To achieve high performance by bestutilizing heterogeneous storage devices, we have designed and implemented aheterogeneity-aware software framework for DBMS storage management calledhStorage-DB, where semantic information that is critical for storage I/O isidentified and passed to the storage manager. According to the collectedsemantic information, requests are classified into different types. Each typeis assigned a proper QoS policy supported by the underlying storage system, sothat every request will be served with a suitable storage device. WithhStorage-DB, we can well utilize semantic information that cannot be detectedthrough data access monitoring but is particularly important for a hybridstorage system. To show the effectiveness of hStorage-DB, we have implemented asystem prototype that consists of an I/O request classification enabled DBMS,and a hybrid storage system that is organized into a two-level cachinghierarchy. Our performance evaluation shows that hStorage-DB can automaticallymake proper decisions for data allocation in different storage devices and makesubstantial performance improvements in a cost-efficient way.

hStorage-DB: Heterogeneity-aware Data Management to Exploit the Full Capability of Hybrid Storage Systems