Aleksey Charapko

Skip to content
  • Paper Review and Summary
  • Playing Around
  • One Page Summary
  • Teaching
    • Аспирантура в США
  • Reading Group
  • CV
  • About Me

Reading Group Papers ##37-50

  1. ✓Fault-tolerant and transactional stateful serverless workflows – December 23rd [YouTube]
  2. ✓Toward a Generic Fault Tolerance Technique for Partial Network Partitioning – January 6th [Summary] [YouTube]
  3. ✓hXDP: Efficient Software Packet Processing on FPGA NICs – January 13th – [Summary] [YouTube]
  4. ✓Virtual Consensus in Delos – January 20th [Summary] [YouTube]
  5. ✓A large scale analysis of hundreds of in-memory cache clusters at Twitter – January 27th [Summary] [YouTube]
  6. ✓Cobra: Making Transactional Key-Value Stores Verifiably Serializable – February 3rd [Summary][YouTube]
  7. ✓Microsecond Consensus for Microsecond Applications  – February 10th [Summary][YouTube]
  8. ✓Performance-Optimal Read-Only Transactions – February 17th [Summary][YouTube]
  9. ✓Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories – February 24th [Summary][YouTube]
  10. ✓FlightTracker: Consistency across Read-Optimized Online Stores at Facebook – March 3rd [Summary][YouTube]
  11. ✓Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads – March 10th [Summary][YouTube]
  12. ✓Sundial: Fault-tolerant Clock Synchronization for Datacenters – March 17th [Summary][YouTube]
  13. ✓Protean: VM Allocation Service at Scale – March 24th [Summary][YouTube]
  14. ✓Aragog: Scalable Runtime Verification of Shardable Networked Systems – March 31st [Summary][YouTube]

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

Categories

  • One Page Summary
  • Other Thoughts
  • Paper Review and Summary
  • Playing Around
  • Reading Group
  • RG Special Session
  • Teaching
Proudly powered by WordPress