• Reading Group. Multitenancy for Fast and Programmable Networks in the Cloud.

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    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 Paper List. Papers ##61-70

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    We have gone through our current list of papers, covering 10 interesting projects over the past 10 weeks. Now it is time to move on with a new set of papers that will carry the reading group all the way through the summer term. Conflict-free Replicated Data Types – June 16th Strong and Efficient Consistency…

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  • Reading Group. Cerebro: A Layered Data Platform for Scalable Deep Learning

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    In the 58th reading group session, we covered “Cerebro: A Layered Data Platform for Scalable Deep Learning.” This was a short meeting, as our original presenter, unfortunately, had some other important commitments. There are actually two Cerebro papers, one appeared at CIDR and another one at VLDB’20. The main premise behind the system is that…

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  • Reading Group. XFT: Practical Fault Tolerance beyond Crashes

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    In the 57th reading group meeting, we continued looking at byzantine fault tolerance. In particular, we looked at “XFT: Practical Fault Tolerance beyond Crashes” OSDI’16 paper. Today’s summary & discussion will be short, as I am doing it way past my regular time. The paper talks about a fault tolerance model that is stronger than…

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  • Metastable Failures in Distributed Systems

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    Metastability is a stable state of a dynamical system other than the system’s state of least energy. – Wikipedia Distributed systems often fail spectacularly and unpredictably. They are a cause for a headache and sleepless on-call nights for way too many engineers. And this is despite lots of efforts to understand the failures, and all…

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  • Reading Group. chainifyDB: How to get rid of your Blockchain and use your DBMS instead

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    Our recent meeting focused on Blockchains, as we discussed “chainifyDB: How to get rid of your Blockchain and use your DBMS instead” CIDR’21 paper. The presentation by Karolis Petrauskas is available here: The paper argues for using existing and proven technology to implement a permissioned blockchain-like system. The core idea is to leverage relational SQL-99…

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  • Reading Group. Protocol-Aware Recovery for Consensus-Based Storage

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    Our last reading group meeting was about storage faults in state machine replications. We looked at the “Protocol-Aware Recovery for Consensus-Based Storage” paper from FAST’18.  The paper explores an interesting omission in most of the state machine replication (SMR) protocols. These protocols, such as (multi)-Paxos and Raft, are specified with the assumption of having a…

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  • Reading Group Special Session: Distributed Transactions in YugabyteDB

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    When: May 11th at 12:00 pm EST Who: Karthik Ranganathan. Karthik Ranganathan is a founder and CTO of YugabyteDB, a globally distributed, strongly consistent database. Prior to Yugabyte, Karthik was at Facebook, where he built the Cassandra database. In this talk, Karthik will discuss Yugabyte’s use of time synchronization and Raft protocol along with some…

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  • Reading Group. Paxos vs Raft: Have we reached consensus on distributed consensus?

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    In our 54th reading group meeting, we were looking for an answer to an important question in the distributed systems community: “What about Raft?” We looked at the “Paxos vs Raft: Have we reached consensus on distributed consensus?” paper to try to find the answer. As always, we had an excellent presentation, this time by…

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  • Reading Group. New Directions in Cloud Programming

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    Recently we have discussed a CIDR’21 paper: “New Directions in Cloud Programming.” Murat Demirbas did the presentation: Quite honestly, I don’t like to write summaries for this kind of paper. Here, the authors propose a vision for the future of cloud applications, and I feel that summarizing a vision often results in the misinterpretation of…

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Aleksey CharapkoI am an assistant professor of computer science at the University of New Hampshire. My research interests lie in distributed systems, distributed consensus, fault tolerance, reliability, and scalability.
X (twitter)@AlekseyCharapko
emailaleksey.charapko@unh.edu

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