Distributed Snapshots: Determining Global States of Distributed Systems | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Distributed Snapshots: Determining Global States of Distributed Systems – Chandy & Lamport 1985. What state is your distributed system in? In the absence of a universal clock, is that even a well-formed question? And if you could take a distributed snapshot of system state, would
MillWheel: Fault-Tolerant Stream Processing at Internet Scale | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic MillWheel: Fault-Tolerant Stream Processing at Internet Scale – Akidau et al. (Google) 2013 Earlier this week we looked at the Google Cloud Dataflow model which is implemented on top of FlumeJava (for batch) and MillWheel (for streaming): We have implemented this model internally
All Change Please | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Update: the DrTm results were for a 6-node cluster, not a 60-node cluster. Update: corrected the RAM Cloud tpmC number – previously missing a crucial ‘K’ ! The combined changes in networking, memory, storage, and processors that are heading towards our data centers will bring abou
Non-volatile Storage | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Non-volatile Storage: Implications of the Datacenter’s shifting center – Nanavati et al. 2016 Strictly this is an article, not a paper, but it’s a great piece from this month’s ACM Queue magazine and very closely related to the discussion on the implications of non-volatile memory
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Redundancy does not imply fault tolerance: analysis of distributed storage reactions to single errors and corruptions | the morning paper
