Distributed Systems

Reinforcement Learning for Resource Management in Multi-tenant Serverless Platforms

Serverless Function-as-a-Service (FaaS) is an emerging cloud computing paradigm that frees application developers from infrastructure management tasks such as resource provisioning and scaling. To reduce the tail latency of functions and improve …

A Geography-Based P2P Overlay Network for Fast and Robust Blockchain Systems

Numerous blockchain systems with various consensus protocols have emerged to achieve high transaction rates (2∼10K tps). However, their underlying P2P network primitives constrain further improvements due to two problems (i) high message redundancy …

Is Function-as-a-Service a Good Fit for Latency-Critical Services?

Function-as-a-Service (FaaS) is becoming an increasingly popular cloud-deployment paradigm for serverless computing that frees application developers from managing the infrastructure. At the same time, it allows cloud providers to assert control in …

FIRM: An Intelligent Fine-Grained Resource Management Frameworkfor SLO-Oriented Microservices

Modern user-facing, latency-sensitive web services include numerous distributed, intercommunicating microservices that promise to simplify software development and operation. However, multiplexing compute-resources across microservices is still …

A Hadoop-like Distributed Computing Platform

This is a parallel distributed computing framework, which bears similarities with MapReduce/Hadoop. This platform consists of critical services such as an underlying distributed file system and a reliable membership protocol. It's implemented in Java and open-sourced on GitHub.

PLOVER: Fast, Multi-core Scalable Virtual Machine Fault-tolerance

Cloud computing enables a vast deployment of online services in virtualized infrastructures, making it crucial to provide fast fault-tolerance for virtual machines (VM). Unfortunately, despite much effort, achieving fast and multi-core scalable VM …