| 1. |
- Jagemar, Marcus, et al.
(författare)
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Adaptive online feedback controlled message compression
- 2014
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Ingår i: Proceedings - International Computer Software and Applications Conference. - 9781479935741 ; , s. 558-567
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Konferensbidrag (refereegranskat)abstract
- Communication is a vital part of computer systems today. One current problem is that computational capacity is growing faster than the bandwidth of interconnected computers. Maximising performance is a key objective for industries, both on new and existing software systems, which further extends the need for more powerful systems at the cost of additional communication. Our contribution is to let the system selectively choose the best compression algorithm from a set of available algorithms if it provides a better overall system performance. The online selection mechanism can adapt to a changing environment such as temporary network congestion or a change of message content while still selecting the optimal algorithm. Additionally, is autonomous and does not require any human intervention making it suitable for large-scale systems. We have implemented and evaluated this autonomous selection and compression mechanism in an initial trial situation as a proof of concept. The message round trip time were decreased by 7.1%, while still providing ample computational resources for other co-existing services.
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| 2. |
- Vitucci, Carlo, et al.
(författare)
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A Reliability-oriented Faults Taxonomy and a Recovery-oriented Methodological Approach for Systems Resilience
- 2022
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Ingår i: Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. - : IEEE. - 9781665488105 ; , s. 48-55
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Konferensbidrag (refereegranskat)abstract
- Fault management is an important function that impacts the design of any digital system, from the simple kiosk in a shop to a complex 6G network. It is common to classify fault conditions into different taxonomies using terms like fault or error. Fault taxonomies are often suitable for managing fault detection, fault reporting, and fault localization but often neglect to support all different functions required by a fault management process. A correctly implemented fault management process must be able to distinguish between defects and faults, decide upon ap-propriate actions to recover the system to an ideal state, and avoid an error condition. Fault management is a multi-disciplinary process where recovery actions are deployed promptly by com-bined hardware, firmware, and software orchestration. The importance of fault management processes significantly increases with modern nanometer technologies, which suffer the risk of so-called soft errors, a corruption of a bit cells that can happen due to spurious disturbance, like cosmic radiation. Modern fault management implementations must support recovery actions for soft errors to ensure a steady system. This paper describes an extended fault classification model that emphasizes fault management and recovery actions. We aim to show how the reliability-based fault taxonomy definition is more suitable for the overall fault management process.
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