Controlling Quality of Service for Edge Offloading
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Fani Basic

Controlling Quality of Service for Edge Offloading

Förderjahr 2019 / Stipendien Call #14 / Stipendien ID: 4531

Due to the limited computation and storage capacities, mobile and Internet of Things (IoT) devices rely on offloading. That is a task of sending data- and compute-intensive application components to the remote infrastructure for execution. However, offloading to the mainstream cloud architecture is not suitable for the real-time applications, as the cloud is not able to answer Quality of Service (QoS) requirements defined in Service Level Agreement (SLA) due to its own drawbacks: high latency, lack of mobility support and geo-distribution.

Therefore, we exploit edge computing resources distributed in user proximity as they provide: low latency, local network and traffic conditions awareness, location and mobility support. Moreover, we investigate novel strategies for monitoring and controlling QoS (response time, availability, responsiveness) in edge deployment, with a goal of non-intermittent service in case of user mobility in dynamic operating conditions such as smart city scenario.

Uni | FH [Universität]

Technische Universität Wien

Themengebiet

Automatisierung/ machine learning
,
Innovation
,
IoT
,
Mobile Devices
,
Mobilität

Zielgruppe

Systemintegratoren
,
Techniker

Gesamtklassifikation

Dissertation | PhD
,
Studie|Konzept

Technologie

Big Data
,
Cloud Service
,
Java
,
mobile App

Lizenz

CC-BY