network
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Cloudy Forecast: How Predictable is Communication Latency in the Cloud?
Many, if not all, practical distributed systems rely on partial synchrony in one way or another, be it a failure detection, a lease mechanism, or some optimization that takes advantage of synchrony to avoid doing a bunch of extra work. These partial synchrony approaches need to know some crucial parameters about their world to estimate…
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Reading Group. In Reference to RPC: It’s Time to Add Distributed Memory
Our 70th meeting covered the “In Reference to RPC: It’s Time to Add Distributed Memory” paper by Stephanie Wang, Benjamin Hindman, and Ion Stoica. This paper proposes some improvements to remote procedure call (RPC) frameworks. In current RPC implementations, the frameworks pass parameters to function by value. The same happens to the function return values.…
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Reading Group. Multitenancy for Fast and Programmable Networks in the Cloud.
We discussed “Multitenancy for Fast and Programmable Networks in the Cloud” in the 59th DistSys Reading Group meeting. In a sense, this was a continuation of a previous discussion we had a few months ago when covering Pegasus paper. Pegasus and many other new protocols rely on specialized programmable network hardware that is not yet…
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Reading Group. Toward a Generic Fault Tolerance Technique for Partial Network Partitioning
Short Summary We have resumed the distributed systems reading group after a short holiday break. Yesterday we discussed the “Toward a Generic Fault Tolerance Technique for Partial Network Partitioning” paper from OSDI 2020. The paper studies a particular type of network partitioning – partial network partitioning. Normally, we expect that every node can reach every…
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