Handbook of Scheduling: Algorithms, Models, and Performance Analysis
Handbook of Scheduling: Algorithms, Models, and Performance Analysis
EESR '05 Proceedings of the 2005 workshop on End-to-end, sense-and-respond systems, applications and services
A Framework for Constraint-Based Deployment and Autonomic Management of Distributed Applications
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Algorithms for generic role assignment in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Macro-programming wireless sensor networks using Kairos
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Improving availability in large, distributed component-based systems via redeployment
CD'05 Proceedings of the Third international working conference on Component Deployment
A decentralized redeployment algorithm for improving the availability of distributed systems
CD'05 Proceedings of the Third international working conference on Component Deployment
An infrastructure for the management of dynamic service networks
IEEE Communications Magazine
Architecture design principles to support adaptive service orchestration in WSN applications
ACM SIGBED Review - Special issue on the workshop on wireless sensor network architecture (April-2007)
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Smart items are physical objects that are enhanced by information technology. There are a number of different smart item technologies available, all of which have different capabilities, protocols, and management functionality. These devices have become an attractive solution for enterprise scenarios. In such scenarios lifecycle management can become a challenge when considering the differences of the smart item types while at the same time providing an abstraction for common functionality. We propose an infrastructure for service lifecycle management of smart items. It is part of a middleware called Smart Item Services Infrastructure (SI)2, which is able to provide a uniform access to various smart item types. The presented architecture addresses the platform heterogenity challenge with a separation of platform-specific and platform-independent functionality. Service Lifecycle Managers for the individual platforms translate the platform-independent requests into the device-specific protocol. Besides platform abstraction, the deployment planning of services is a major requirement. Thus, we put special focus on the Service Mapper component, which determines a deployment plan that satisfies a number of constraints.