A primary design basis of ultra-reliable systems is the system synchronization framework. This provides for time synchronization within the system, and also forms the basis of the distributed agreement protocols, which direct the aspects of fault-tolerance, redundancy management, scheduling, and error-handling functions within the system. Traditional system designs have focused on developing the theory and techniques for fully connected systems. These basic principles do not directly extrapolate to both large and non-fully connected designs. Also, the designs have ranged between two extremes: those considering all system faults to be benign, and models where all system faults are considered malicious--for system operations, algorithm design and for reliability assessment purposes. This dissertation considers the synchronization problem in systems with a two-fold objective. Firstly, it addresses the problem of fault classification based on fault manifestations and develops the theory for convergence based synchronization functions. Next, a large cluster based non-fully connected architectural model is presented. The system model is shown to be physically realizable without the dominating graph complexities associated in a similarly sized fully connected approach. For this model and for general networks, an initial synchronization and a unique variation of the steady state synchronization algorithm applicable to non-fully connected systems is presented. An important design consideration is the accurate assessment of the system design. A novel reliability assessment approach is presented for the architecture models, in conjunction with the fault classification model, to obtain a precise and realistic fault coverage reliability model. ftn$\sp1$This work was funded in part under ONR N00014-91-C-0014, AFOSR 88-0205 and grants for Allied-Signal.
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:dissertations-8545 |
| Date | 01 January 1992 |
| Creators | Suri, Neeraj |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Language | English |
| Detected Language | English |
| Type | text |
| Source | Doctoral Dissertations Available from Proquest |
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