Aleksey Charapko

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Reading Group Papers ##51-60

  • ✓Distributed Snapshots: Determining Global States of a Distributed System – April 7th – :classical_building: Classical/Foundation Paper [YouTube][Summary]
  • ✓Facebook’s Tectonic Filesystem: Efficiency from Exascale – April 14th [YouTube][Summary]
  • ✓New Directions in Cloud Programming – April 21st [YouTube][Summary]
  • ✓Paxos vs Raft: Have we reached consensus on distributed consensus? – April 28th [YouTube][Summary]
  • ✓Protocol-Aware Recovery for Consensus-Based Storage – May 5th [YouTube][Sumamry]
  • ✓chainifyDB: How to get rid of your Blockchain and use your DBMS instead – May 12th [YouTube][Summary]
  • ✓XFT: practical fault tolerance beyond crashes – May 19 [ YouTube][Summary]
  • ✓Cerebro: A Layered Data Platform for Scalable Deep Learning – May 26th [Summary]
  • ✓Multitenancy for Fast and Programmable Networks in the Cloud – June 2nd [YouTube][Summary]
  • ✓Exploiting Symbolic Execution to Accelerate Deterministic Databases – June 9th [YouTube][Summary]
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, and scalability.
twitter@AlekseyCharapko
emailaleksey.charapko@unh.edu

Recent Posts

  • Reading Group. DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems
  • Reading Group. Method Overloading the Circuit
  • Reading Group. How to fight production incidents?: an empirical study on a large-scale cloud service
  • Reading Group. Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
  • Reading Group. The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation

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