Craig Chambers

Computer Networks and Communications · 2000–2015

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 18 citations into it; #7,934 of 9,886 by trust here, #2,539 by citations
• Information Systems — 15 citations into it; #6,788 of 8,771 by trust here, #2,912 by citations
• Artificial Intelligence — 6 citations into it; #23,209 of 35,345 by trust here, #23,077 by citations
• ML Systems & Hardware — 5 citations into it

Whom Craig Chambers trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Muthu Dayalan
2. Rob Pike
3. Gail C. Murphy
4. Fay W. Chang
5. Mark Chu-Carroll

Who trusts Craig Chambers overall

1. Piyush Sharma
2. Kung-Kiu Lau
3. Rahul Gupta
4. Christopher J. Rossbach
5. Matei A. Zaharia
6. Abhishek Verma
7. Aleksandar Bojchevski
8. Tyler Akidau
9. Brendan Shillingford
10. Mosharaf Chowdhury

Papers from Craig Chambers's perspective

Ordered by how strongly the researchers Craig Chambers trusts endorse each paper. Same corpus, a different order for every researcher.

1. Interpreting the data: Parallel analysis with Sawzall (Scientific Programming)
2. Pig latin: a not-so-foreign language for data processing (SIGMOD Conference)
3. MapReduce: simplified data processing on large clusters
4. Bigtable: a distributed storage system for structured data (USENIX Symposium on Operating Systems Design and Implementation)
5. Exploiting Punctuation Semantics in Continuous Data Streams (IEEE Transactions on Knowledge and Data Engineering)
6. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
7. Map-reduce-merge: simplified relational data processing on large clusters (ACM SIGMOD Conference)
8. MillWheel: Fault-Tolerant Stream Processing at Internet Scale
9. NiagaraCQ: a scalable continuous query system for Internet databases (ACM SIGMOD Conference)
10. Design and Implementation of a General Purpose Parallel Programming System

Their papers

• The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing (2015) — 786 citations
• MultiJava: modular open classes and symmetric multiple dispatch for Java (2000) — 356 citations
• FlumeJava: easy, efficient data-parallel pipelines (2010) — 458 citations
• ArchJava: connecting software architecture to implementation (2002) — 600 citations