SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
Designing and Implementing an Architecture with Boundary Scan
IEEE Design & Test
The Vision of Autonomic Computing
Computer
How Do Mobile Phones Fail? A Failure Data Analysis of Symbian OS Smart Phones
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Design and implementation of the management agent for mobile devices based on OMA DM
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Journal of Network and Systems Management
Software debugging, testing, and verification
IBM Systems Journal
OMA DM based remote software debugging of mobile devices
APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services
Efficient message encoding method for personal health device monitoring system
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
An OMA DM Based Framework for Updating Modulation Module for Mobile Devices
International Journal of Adaptive, Resilient and Autonomic Systems
| Hi-index | 0.00 |
Mobile devices (e.g. mobile handsets or PDAs) have gained much functionality and intelligence with the growth of mobile network technologies and the increased use of mobile services. As a consequence, mobile devices have become more complex and many related problems have occurred. Specifically, sudden rebooting and freezing problems caused by software faults decrease the availability of the mobile device and cause inconvenience to end-users. To solve such problems, academia and industry have focused on Open Mobile Alliance (OMA) Device Management (DM); this method is the international de facto standard for mobile device management. In this paper, we propose a software fault management method to remotely determine and correct problems of mobile devices based on OMA DM. We present a definition of management objects and a method to collect them from mobile devices using the OMA DM protocol. We also present a method for debugging and correcting software faults using the collected information. Finally, we present a prototype implementation and performance evaluation to validate our proposed method. Results of the performance evaluation show that our proposed method is efficient and scalable in regard to network traffic overhead and response time.