• Reading Group. Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing

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    Our 148th paper in DistSys Reading Group was “Oakestra: A Lightweight Hierarchical Orchestration Framework for Edge Computing” by Giovanni Bartolomeo, Mehdi Yosofie, Simon Bäurle, Oliver Haluszczynski, Nitinder Mohan, and Jörg Ott. We had a very detailed presentation in the reading group, so I will make a very short summary to compensate.  Oakestra, in a nutshell,…

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  • Reading Group. Palette Load Balancing: Locality Hints for Serverless Functions

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    This week, our reading group focused on serverless computing. In particular, we looked at the “Palette Load Balancing: Locality Hints for Serverless Functions” EuroSys’23 paper by Mania Abdi, Sam Ginzburg, Charles Lin, Jose M Faleiro, Íñigo Goiri, Gohar Irfan Chaudhry, Ricardo Bianchini, Daniel S. Berger, Rodrigo Fonseca. I did a short improvised presentation since the…

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  • Reading Group. Chardonnay: Fast and General Datacenter Transactions for On-Disk Databases

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    Last week, we looked at the “Chardonnay: Fast and General Datacenter Transactions for On-Disk Databases” OSDI’23 paper by Tamer Eldeeb, Xincheng Xie, Philip A. Bernstein, Asaf Cidon, Junfeng Yang. The paper presents a transactional database built on the assumption of having a very fast two-phase commit protocol.  Coordination, like a two-phase commit (2PC), usually has…

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  • Cloudy Forecast: How Predictable is Communication Latency in the Cloud?

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    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 Paper. Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate

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    In this week’s reading group, we discussed the “Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate” OSDI’23 paper by Audrey Cheng, David Chu, Terrance Li, Jason Chan, Natacha Crooks, Joseph M. Hellerstein, Ion Stoica, Xiangyao Yu. This paper argues against optimizing for object hit rate in caches for transactional databases. The main logic behind…

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  • Reading Group Paper. Aggregate VM: Why Reduce or Evict VM’s Resources When You Can Borrow Them From Other Nodes?

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    In our recent reading group meeting, we discussed “Aggregate VM: Why Reduce or Evict VM’s Resources When You Can Borrow Them From Other Nodes?” by Ho-Ren Chuang, Karim Manaouil, Tong Xing, Antonio Barbalace, Pierre Olivier, Balvansh Heerekar, Binoy Ravindran. This EuroSys’23 paper introduces the concept of Aggregate VM to allow the pooling of small unused…

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  • Reading Group Paper: Hyrax: Fail-in-Place Server Operation in Cloud Platforms

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    In the 142nd reading group meeting, we discussed “Hyrax: Fail-in-Place Server Operation in Cloud Platforms” OSDI’23 paper. Hyrax allows servers with certain types of hardware failures to return to service after some software-only automated mitigation steps. Traditionally, when a server malfunctions, the VMs are migrated off of it, then the server gets shut down and…

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  • Fall 2023 Reading Group Papers (##141-150)

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    The schedule is also in our Google Calendar. Omni-Paxos: Breaking the Barriers of Partial Connectivity (EuroSys’23) Authors: Harald Ng, Seif Haridi, Paris Carbone What: Multi-Paxos flavor with better tolerance for partial network partitions When: August 30th Hyrax: Fail-in-Place Server Operation in Cloud Platforms (OSDI’23) Authors: Jialun Lyu, Marisa You, Celine Irvene, Mark Jung, Tyler Narmore,…

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  • Spring Term Reading Group Papers: ##131-140

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    A new set of papers for spring and early summer! Transactions Make Debugging Easy [CIDR’23] Authors: Qian Li, Peter Kraft, Michael Cafarella, Çağatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, and Matei Zaharia What: Everything is a database transaction, including debugging When: April 12th Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems…

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  • Reading Group. DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems

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    In the 127th meeting, we discussed the “DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems” SoCC’22 paper by Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu. This paper argues that current Autoscaling solutions for Microservice applications are lacking in…

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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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