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

Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged toenable low-latency and location-aware data processing at the edge of mobilenetworks. Since providing grid power supply in support of MEC can be costly andeven infeasible in some scenarios, on-site renewable energy is mandated as amajor or even sole power supply. Nonetheless, the high intermittency andunpredictability of energy harvesting creates many new challenges of performingeffective MEC. In this paper, we develop an algorithm called GLOBE thatperforms joint geographical load balancing (GLB) and admission control foroptimizing the system performance of a network of MEC-enabled and energyharvesting-powered base stations. By leveraging and extending the Lyapunovoptimization with perturbation technique, GLOBE operates online withoutrequiring future system information and addresses significant challenges causedby battery state dynamics and energy causality constraints. Moreover, GLOBEworks in a distributed manner, which makes our algorithm scalable to largenetworks. We prove that GLOBE achieves a close-to-optimal system performancecompared to the offline algorithm that knows full future information, andpresent a critical tradeoff between battery capacity and system performance.Simulation results validate our analysis and demonstrate the superiorperformance of GLOBE compared to benchmark algorithms.

Online Geographical Load Balancing for Mobile Edge Computing with Energy Harvesting