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

Due to privacy concerns of users and law enforcement in data security andprivacy, it becomes more and more difficult to share data among organizations.Data federation brings new opportunities to the data-related cooperation amongorganizations by providing abstract data interfaces. With the development ofcloud computing, organizations store data on the cloud to achieve elasticityand scalability for data processing. The existing data placement approachesgenerally only consider one aspect, which is either execution time or monetarycost, and do not consider data partitioning for hard constraints. In thispaper, we propose an approach to enable data processing on the cloud with thedata from different organizations. The approach consists of a data federationplatform named FedCube and a Lyapunov-based data placement algorithm. FedCubeenables data processing on the cloud. We use the data placement algorithm tocreate a plan in order to partition and store data on the cloud so as toachieve multiple objectives while satisfying the constraints based on amulti-objective cost model. The cost model is composed of two objectives, i.e.,reducing monetary cost and execution time. We present an experimentalevaluation to show our proposed algorithm significantly reduces the total cost(up to 69.8\%) compared with existing approaches.

Data Placement for Multi-Tenant Data Federation on the Cloud