Optimal Planning of Dynamic Thermal Management for NANS (N-App N-Screen) Services
| Autor: | Chang-Gun Lee, Giyeon Kim, Oh-Chul Kwon, Wonjae Jang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Service (systems architecture)
QoS optimization Computer Networks and Communications Computer science Distributed computing dynamic thermal management lcsh:TK7800-8360 mobile device 02 engineering and technology Thermal management of electronic devices and systems smartphone Display device multi-screening NANS technology 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Quality of service 020208 electrical & electronic engineering lcsh:Electronics Optimal planning NANS service thermal model thermal prediction 020202 computer hardware & architecture Constraint (information theory) Hardware and Architecture Control and Systems Engineering Signal Processing Mobile device |
| Zdroj: | Electronics, Vol 7, Iss 11, p 311 (2018) Electronics Volume 7 Issue 11 |
| ISSN: | 2079-9292 |
| Popis: | Existing multi-screening technologies have been limited to mirroring the current screen of the smartphone onto all the connected external display devices. In contrast, NANS (N-App N-Screen) technology is able to display different applications (N-App) on different multiple display devices (N-Screen) using only a smartphone. For such NANS services, this paper empirically shows that the thermal violation constraint is more critical than the battery life constraint. For preventing the thermal violation, the existing DTM (Dynamic Thermal Management) techniques cannot be used since they consider thermal violations as abnormal, and hence prevent them by severely throttling CPU frequencies resulting in serious QoS degradation. In NANS service scenarios it is normal to operate in high temperature ranges to continue services with acceptable QoS. Targeting such scenarios, we first propose a novel thermal prediction method specially designed for NANS services. Based on the novel thermal prediction method, we then propose a novel DTM technique called, &ldquo thermal planning&rdquo to provide sustainable NANS services with sufficiently high QoS without thermal violations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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