Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 |
| Seiten | 294-299 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9780769547138 |
| Publikationsstatus | Veröffentlicht - 2012 |
| Extern publiziert | Ja |
| Veranstaltung | 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 - , Indien Dauer: 23 Juli 2012 → 26 Juli 2012 |
Abstract
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Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012. 2012. S. 294-299.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - System management with IBM mobile systems remote
T2 - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
AU - Rellermeyer, Jan
AU - Osiecki, Thomas H.
AU - Holloway, Ernest A.
AU - Bohrer, Patrick J.
AU - Kistler, Michael
PY - 2012
Y1 - 2012
N2 - The rise of the app revolution has brought small, simple, and affordable software tools to users for mastering mundane tasks with the help of mobile devices. With the success of the app paradigm, there is an increasing demand for applying the same spirit to problems which have traditionally been the domain of enterprise-scale solutions, e.g., system management. The challenge for building such communication-intensive applications, however, is to gather the health and performance data of a large number of machines in an agile and responsive fashion while being restricted by the scarce resources and severe power constraints inherent to mobile devices. In this paper, we present a system architecture that tackles this fundamental challenge by making data freshness an explicit concern and allowing the application to express its freshness requirements in a fine-grained way. The application runs atop a generic data cache and collection engine that fetches fresh data from the management endpoints based on these requirements. We evaluate the performance and power consumption characteristics on a broad range of Android-based mobile devices and show that this approach increases the responsiveness of the application while at the same time reducing the power consumption.
AB - The rise of the app revolution has brought small, simple, and affordable software tools to users for mastering mundane tasks with the help of mobile devices. With the success of the app paradigm, there is an increasing demand for applying the same spirit to problems which have traditionally been the domain of enterprise-scale solutions, e.g., system management. The challenge for building such communication-intensive applications, however, is to gather the health and performance data of a large number of machines in an agile and responsive fashion while being restricted by the scarce resources and severe power constraints inherent to mobile devices. In this paper, we present a system architecture that tackles this fundamental challenge by making data freshness an explicit concern and allowing the application to express its freshness requirements in a fine-grained way. The application runs atop a generic data cache and collection engine that fetches fresh data from the management endpoints based on these requirements. We evaluate the performance and power consumption characteristics on a broad range of Android-based mobile devices and show that this approach increases the responsiveness of the application while at the same time reducing the power consumption.
KW - Energy Efficiency
KW - IBM Remote
KW - Mobile App
KW - System Management
KW - SDG 7 - Affordable and Clean Energy
U2 - 10.1109/MDM.2012.53
DO - 10.1109/MDM.2012.53
M3 - Conference contribution
SN - 9780769547138
SP - 294
EP - 299
BT - Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Y2 - 23 July 2012 through 26 July 2012
ER -