Everything about Data-intensive computing

🧭 Start here: a 6-step reading path

1. Read the overview: Data-intensive computingA 5-minute orientation
2. Skim a recent paper: Reliability-Aware Task Processing and Offloading for Data-Intensive Applications in Edge computingInfluential work since 2022
3. Pick up a classic book: Computing and monitoring in anesthesia and intensive careThe most-reprinted book on the subject
4. Read the landmark paper: G-Hadoop: MapReduce across distributed data centers for data-intensive computingCited 271 times
5. Go sideways: HPCCA closely related topic
6. Go sideways: Data-centric programming languageA closely related topic

🏆 Landmark papers (most cited)

• G-Hadoop: MapReduce across distributed data centers for data-intensive computing

  Lizhe Wang, Jie Tao, Rajiv Ranjan · 2013 · Future Generation Computer Systems · 271 citations

• Optimized container scheduling for data-intensive serverless edge computing

  Thomas Rausch, Alexander Rashed, Schahram Dustdar · 2021 · Future Generation Computer Systems · 173 citations

• The Changing Paradigm of Data-Intensive Computing

  Richard T. Kouzes, Gordon A. Anderson, Stephen T. Elbert · 2009 · Computer · 105 citations

• Data-Intensive Computing in the 21st Century

  Ian Gorton, Paul Greenfield, Alex Szalay · 2008 · Computer · 99 citations

• QoS-Aware Data Replication for Data-Intensive Applications in Cloud Computing Systems

  Jenn-Wei Lin, Chien-Hung Chen, J. Morris Chang · 2013 · IEEE Transactions on Cloud Computing · 92 citations

• Data-Intensive Cloud Computing: Requirements, Expectations, Challenges, and Solutions

  Jawwad Shamsi, Muhammad Ali Khojaye, Mohammad Ali Qasmi · 2013 · Journal of Grid Computing · 68 citations

• Nebula: Distributed Edge Cloud for Data Intensive Computing

  Albert Jonathan, Mathew Ryden, Kwangsung Oh · 2017 · IEEE Transactions on Parallel and Distributed Systems · 59 citations

• A Throughput-Optimized Optical Network for Data-Intensive Computing

  Laurent Schares, Benjamin G. Lee, Fabio Checconi · 2014 · IEEE Micro · 58 citations

🆕 Influential since 2022

• Reliability-Aware Task Processing and Offloading for Data-Intensive Applications in Edge computing

  Jingyu Liang, Bowen Ma, Zihan Feng · 2023 · IEEE Transactions on Network and Service Management · 43 citations

• Technology Prospects for Data-Intensive Computing

  Kerem Akarvardar, H. -S. Philip Wong · 2023 · Proceedings of the IEEE · 36 citations

• An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing

  Kaili Shao, Hui Fu, Bo Wang · 2023 · Electronics · 32 citations

• DECO: Joint Computation Scheduling, Caching, and Communication in Data-Intensive Computing Networks

  Khashayar Kamran, Edmund Yeh, Qian Ma · 2022 · IEEE/ACM Transactions on Networking · 29 citations

• Splitting and placement of data-intensive applications with machine learning for power system in cloud computing

  Zhanyang Xu, Dawei Zhu, Jinhui Chen · 2022 · Digital Communications and Networks · 16 citations

📚 Books worth reading

• Computing and monitoring in anesthesia and intensive careKazuyuki Ikeda · 1992
• 📕Airport-noise levels and annoyance model system's reference manualRichard DeLoach · 1986
• 📕Anwendungsgebiete der computertechnologie in Anaesthesie und IntensivmedizinH.-J Hartung · 1985
• State of the Art Technology in Anesthesia and Intensive CareKazuyuki Ikeda · 1998
• 📕Digitales KapitalOtto Hansmann · 2019
• Operating room and intensive care alarms and information transfer · 1992

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• HPCC HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform…
• Data-centric programming language Data-centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A…
• Apache Hadoop Apache Hadoop (/həˈduːp/) is a collection of open-source software utilities for reliable, scalable, distributed computing. It provides a software framework…
• MapReduce MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm…
• Sector/Sphere Sector/Sphere is an open source software suite for high-performance distributed data storage and processing. It can be broadly compared to Google's GFS…
• Distributed file system for cloud A distributed file system for cloud is a file system that allows many clients to have access to data and supports operations (create, delete, modify, read…
• Computer cluster A computer cluster is a group of autonomous computers that work together so that they can be viewed as a single system. Unlike grid computers, computer…
• GPFS GPFS (General Parallel File System, brand name IBM Storage Scale and previously IBM Spectrum Scale) is a high-performance clustered file system software…