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

Cloud computing has reached significant maturity from a systems perspective,but currently deployed solutions rely on rather basic economics mechanisms thatyield suboptimal allocation of the costly hardware resources. In this paper wepresent Economic Resource Allocation (ERA), a complete framework for schedulingand pricing cloud resources, aimed at increasing the efficiency of cloudresources usage by allocating resources according to economic principles. TheERA architecture carefully abstracts the underlying cloud infrastructure,enabling the development of scheduling and pricing algorithms independently ofthe concrete lower-level cloud infrastructure and independently of itsconcerns. Specifically, ERA is designed as a flexible layer that can sit on topof any cloud system and interfaces with both the cloud resource manager andwith the users who reserve resources to run their jobs. The jobs are scheduledbased on prices that are dynamically calculated according to the predicteddemand. Additionally, ERA provides a key internal API to pluggable algorithmicmodules that include scheduling, pricing and demand prediction. We provide aproof-of-concept software and demonstrate the effectiveness of the architectureby testing ERA over both public and private cloud systems -- Azure Batch ofMicrosoft and Hadoop/YARN. A broader intent of our work is to fostercollaborations between economics and system communities. To that end, we havedeveloped a simulation platform via which economics and system experts can testtheir algorithmic implementations.

ERA: A Framework for Economic Resource Allocation for the Cloud