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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martins, P. Sousa, P. Casimiro, A. Verissimo, P. |
| Copyright Year | 2004 |
| Abstract | The CORTEX project envisions a new class of applications comprising (possibly many) smart components, called sentient objects, that can sense their environment and interact with it and each other by accepting and producing events. These interactions might occur in ways that demand predictable and sometimes guaranteed quality of service (QoS). However, achieving predictability is difficult given the objects' changing environments dictated by unstable and mobile object populations, unpredictable network load, varying connectivity, and failed system components. We devised an innovative programming model that aims to reconcile uncertainty with an application's required predictability. The model is based on fulfilling two predicates - coverage stability and no-contamination - by programs or protocols subject to varying conditions of system timeliness. |
| Sponsorship | IEEE Computer Society |
| File Size | 515442 |
| File Format | |
| ISSN | 15414922 |
| Volume Number | 6 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Brain modeling Quality of service Predictive models Stability Security Wireless sensor networks Protocols Timing Computer architecture dependable adaptation mobile computing real-time systems partial synchrony models |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Engineering Software Hardware and Architecture |
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