@inproceedings{488,
  keywords = {autonomous agent technologies, autonomous system adaptation, distributed processing, distributed real-time embedded systems, distributed real-time system, dynamic adaptation, dynamic resource management, embedded sensor Web system, embedded systems, intelligent resource management, QoS-enabled component middleware, quality of service, quality-of-service, resource allocation, SEAMONSTER project},
  author = {John Kinnebrew and William Otte and Nishanth Shankaran and Gautam Biswas and Douglas Schmidt},
  title = {Intelligent Resource Management and Dynamic Adaptation in a Distributed Real-time and Embedded Sensor Web System},
  abstract = {Sensor webs are often composed of servers connected to distributed real-time embedded (DRE) systems that operate in open environments where operating conditions, workload, resource availability, and connectivity cannot be accurately characterized a priori. The South East Alaska MOnitoring Network for Science, Telecommunications, Education, and Research (SEAMONSTER) project exhibits many common system management and dynamic operation challenges for effective, autonomous system adaptation in a representative sensor web. These challenges cover both field operation (e.g., power management through system sleep/wake cycles and reaction to local environmental changes) and server operation (e.g., system adaptation for new/modified goals, resource allocation for a changing set of applications, and configuration changes for fluctuating workload). This paper presents the results of integrating and applying quality-of-service (QoS)-enabled component middleware, dynamic resource management, and autonomous agent technologies to address these challenges in SEAMONSTER.},
  year = {2009},
  journal = {The 12th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC)},
  pages = {135 -142},
  month = {03/2009},
  address = {Tokyo, Japan},
}