Big Data Systems - Index

Table of Contents

Infrastructure, Frameworks, and Paradigms

Scheduling & Resource Allocation

  • [NSDI '11] Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center

  • [EuroSys '13] Omega: flexible, scalable schedulers for large compute clusters

  • [SoCC '13] Apache Hadoop YARN: Yet Another Resource Negotiator

  • [SoCC '14] Wrangler: Predictable and Faster Jobs using Fewer Resources

  • [OSDI '14] Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (pdf)

  • [SIGCOMM '14] Tetris: Multi-Resource Packing for Cluster Schedulers (pdf)

  • [ASPLOS '14] Quasar: Resource-Efficient and QoS-Aware Cluster Management

  • [SIGCOMM '15] Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can

  • [OSDI '16] CARBYNE: Altruistic Scheduling in Multi-Resource Clusters (pdf)

  • [OSDI '16] Packing and Dependency-aware Scheduling for Data-Parallel Clusters

  • [NSDI '16] HUG: Multi-Resource Fairness for Correlated and Elastic Demands

  • [EuroSys '16] TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters

  • [SoCC '17] Selecting the best vm across multiple public clouds: A data-driven performance modeling approach

  • [ATC '18] On the diversity of cluster workloads and its impact on research results

Cloud/Serverless Computing

  • [SoCC '17] Occupy the Cloud: Distributed Computing for the 99%

  • [arXiv '19] Cloud Programming Simplified: A Berkeley View on Serverless Computing

  • [SoCC '19] Centralized Core-granular Scheduling for Serverless Functions

  • [SoCC '19] Cirrus: a Serverless Framework for End-to-end ML Workflows

  • [NSDI '19] Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure

  • [SIGMOD '20] Le Taureau: Deconstructing the Serverless Landscape & A Look Forward

  • [SoCC '20] Serverless linear algebra

  • [ATC '20] Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

  • [SIGMOD '21] Towards Demystifying Serverless Machine Learning Training

  • [OSDI '21] Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads

  • [SoCC '21] Atoll: A Scalable Low-Latency Serverless Platform

  • [NSDI '21] Caerus: Nimble Task Scheduling for Serverless Analytics

  • [ASPLOS '22] Serverless computing on heterogeneous computers

  • [arXiv '22] Groundhog: Efficient Request Isolation in FaaS (pdf)

Network Flow Scheduling


Distributed Tracing

  • [Textbook] Distributed Tracing in Practice

  • [SOSP '15] Pivot tracing: dynamic causal monitoring for distributed systems (pdf)

  • [SoCC '16] Principled Workflow-Centric Tracing of Distributed Systems (pdf)

  • [SOSP '17] Canopy: An End-to-End Performance Tracing And Analysis System (pdf)

  • [SoCC '18] Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay (pdf)

  • [SoCC '19] Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering (pdf)

  • [HotNets '21] Snicket: Query-Driven Distributed Tracing (pdf)

  • [NSDI '23] The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems (pdf)


New Data, Hardware Models

  • [ISCA '17] In-Datacenter Performance Analysis of a Tensor Processing Unit


  • [SIGMOD '12] Towards a Unified Architecture for in-RDBMS Analytics

  • [arXiv '13] Bayesian Optimization in a Billion Dimensions via Random Embeddings

  • [SIGMOD '17] Automatic Database Management System Tuning Through Large-scale Machine Learning

  • [HotStorage '20] Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important Knobs

  • [arXiv '21] Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation

  • [VLDB '21] An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems (pdf)

  • [VLDB '22] LlamaTune: Sample-Efficient DBMS Configuration Tuning

Meta stuff

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