Abstract
An asynchronous distributed system consisting of a collection of processes interacting via accessing shared services or variables. Failure-tolerant computability for such systems is an important issue, but too little attention has been paid to the case where the services themselves can fail. Recently, it’s proved that consensus problem can’t be (f+1)-resiliently solved using a finite number of reliable registers and f-resilient services (failure-aware services must be fully connected). We generalize the result in two dimensions. Firstly, it’s shown that the impossibility holds even if infinitely many registers and services are allowed. Secondly, we prove that replacing the reliable registers with reliable shared variables still leave the impossibility to hold, if only failure-oblivious services are allowed.
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Liu, X., Xu, Z., Pu, J. (2007). Revisiting the Impossibility for Boosting Service Resilience. In: Cai, JY., Cooper, S.B., Zhu, H. (eds) Theory and Applications of Models of Computation. TAMC 2007. Lecture Notes in Computer Science, vol 4484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72504-6_65
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DOI: https://doi.org/10.1007/978-3-540-72504-6_65
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