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Creators/Authors contains: "Kliewer, Jörg"

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  1. ; ; ; ; (, IEEE Transactions on Information Forensics and Security)
    Free, publicly-accessible full text available September 19, 2026
  2. ; ; (, IEEE Transactions on Information Forensics and Security)
    Free, publicly-accessible full text available January 1, 2026
  3. ; ; (, IEEE)
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  4. ; ; (, IEEE)
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  5. ; (, IEEE Transactions on Information Theory)
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  6. ; ; ; ; ; (, IEEE)
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  7. ; ; (, IEEE)
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  8. ; ; ; ; (, IEEE Journal on Selected Areas in Information Theory)
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  9. ; (, IEEE)
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  10. ; ; (, ICC 2023 - IEEE International Conference on Communications)
    In cloud computing systems, elastic events and stragglers increase the uncertainty of the system, leading to computation delays. Coded elastic computing (CEC) introduced by Yang et al. in 2018 is a framework which mitigates the impact of elastic events using Maximum Distance Separable (MDS) coded storage. It proposed a CEC scheme for both matrix-vector multiplication and general matrix-matrix multiplication applications. However, in these applications, the proposed CEC scheme cannot tolerate stragglers due to the limitations imposed by MDS codes. In this paper we propose a new elastic computing scheme using uncoded storage and Lagrange coded computing approaches. The proposed scheme can effectively mitigate the effects of both elasticity and stragglers. Moreover, it produces a lower complexity and smaller recovery threshold compared to existing coded storage based schemes. 
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