M3R: Increased Performance for In-Memory Hadoop Jobs
Summary: M3R is an in-memory Hadoop MapReduce engine for online analytics on memory-resident clusters, sacrificing resilience for speed. Unchanged HMR execution (Pig/Jaql/SystemML, BigSheets) with large speedups (≈45× for sparse mat-vec) and API extensions that accelerate workloads without altering Hadoop semantics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Avraham Shinnar
- 2. David Cunningham
- 3. Benjamin Herta
- 4. Vijay Saraswat
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,714 | Minimal MapReduce Algorithms | 2013 | SIGMOD | 8.2426646e-05 |
| 3,425 | General Incremental Sliding-Window Aggregation | 2015 | VLDB | 7.1042928e-05 |
| 5,803 | Lifetime-Based Memory Management for Distributed Data Processing Systems | 2016 | VLDB | 5.3208219e-05 |
| 7,510 | Hone: "Scaling Down" Hadoop on Shared-Memory Systems | 2013 | VLDB | 4.7135369e-05 |
| 11,980 | Palette: Enabling Scalable Analytics for Big-Memory, Multicore Machines | 2014 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024217964 |
| 70 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00059744625 |
| 408 | HaLoop: Efficient Iterative Data Processing on Large Clusters | 2010 | VLDB | 0.00023939456 |
| 1,265 | Jaql: A Scripting Language for Large Scale Semistructured Data Analysis | 2011 | VLDB | 0.00012933537 |
| 1,497 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011668393 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,510 | Hone: "Scaling Down" Hadoop on Shared-Memory Systems | 2013 | VLDB | 4.7135369e-05 |
| 3,709 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB | 6.8211506e-05 |
| 13,356 | M3: Scaling Up Machine Learning via Memory Mapping | 2016 | SIGMOD | - |
| 2,211 | ReStore: Reusing Results of MapReduce Jobs | 2012 | VLDB | 9.2823037e-05 |
| 789 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00016602215 |
| 1,615 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00011137225 |
| 2,476 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD | 8.6907971e-05 |
| 15 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD | 0.0010668335 |
| 2,735 | Online Aggregation and Continuous Query support in MapReduce | 2010 | SIGMOD | 8.2058004e-05 |
| 7,298 | MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs | 2014 | VLDB | 4.7651301e-05 |