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Analytics-driven Edge Cloud Automation

Doktorandprojekt Den explosiva tillväxten av mobila enheter och Internet of things-enheter, beräkningsbehovet för applikationerna som de kör och mängden data de producerar kräver högpresterande datorkapacitet nära dessa enheter för att hantera deras data och beräkningar.

Ali Rahmanian är doktorand på Företagsforskarskolan vid Umeå universitet.


Ali Rahmanian
090-786 61 97



2020-01-01 2023-12-31


Ericsson Research, Kista

Medverkande institutioner och enheter vid Umeå universitet

Institutionen för datavetenskap




It is already today common to offload parts of the computations and data storage from these devices to remote large scale cloud datacenters. Every time one uses a mobile application that entails, for example, voice recognition like Apple’s Siri, a connection is established to a cloud datacenter. Offloading to remote large scale clouds has fundamental communication limitations as large latencies restrict the kind of applications supported by such offloading.

The Edge Cloud is a novel architecture where small-scale cloud resources are added at the edge of a mobile network close to the users, unifying the management and control of access network, the resources added to the edge, and the remote large-scale datacenters. Edge cloud is about moving processing and intelligence closer to the end-users or origin of data.

However, due to user mobility, hardware heterogeneity, and increased flexibility in deciding where computing capacity can be used, the Edge Cloud brings significant challenges in analyzing, predicting, and controlling resource usage and allocation to optimize cost and performance, while delivering expected end-user Quality-of-Service (QoS). In addition, new applications, such as 360 Video streaming, real-time video analytics, and self driving cars, add more complexity to the problem of edge resource management.

Finally, the performance focus of edge-based services has implications on configuration of end-user connectivity between edge datacenters and end-users, hence there needs to be coordination between the resource management of edge clouds, and connectivity configuration, e.g., how to handle session continuity during user mobility between edge Dcs?