Incremental graph evaluation (attribute grammar)
Incremental graph evaluation (attribute grammar)
Incremental computation via function caching
POPL '89 Proceedings of the 16th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Static caching for incremental computation
ACM Transactions on Programming Languages and Systems (TOPLAS)
Incremental maintenance of recursive views: a survey
Materialized views
Caching function calls using precise dependencies
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Adaptive functional programming
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Incremental evaluation for attribute grammars with application to syntax-directed editors
POPL '81 Proceedings of the 8th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Interpreting the data: Parallel analysis with Sawzall
Scientific Programming - Dynamic Grids and Worldwide Computing
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Dryad: distributed data-parallel programs from sequential building blocks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
SCOPE: easy and efficient parallel processing of massive data sets
Proceedings of the VLDB Endowment
Ad-hoc data processing in the cloud
Proceedings of the VLDB Endowment
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Harnessing input redundancy in a MapReduce framework
Proceedings of the 2010 ACM Symposium on Applied Computing
Stateful bulk processing for incremental analytics
Proceedings of the 1st ACM symposium on Cloud computing
Comet: batched stream processing for data intensive distributed computing
Proceedings of the 1st ACM symposium on Cloud computing
Tiled-MapReduce: optimizing resource usages of data-parallel applications on multicore with tiling
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Nectar: automatic management of data and computation in datacenters
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Large-scale incremental processing using distributed transactions and notifications
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Nova: continuous Pig/Hadoop workflows
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Incoop: MapReduce for incremental computations
Proceedings of the 2nd ACM Symposium on Cloud Computing
Incremental recomputations in MapReduce
Proceedings of the third international workshop on Cloud data management
Kineograph: taking the pulse of a fast-changing and connected world
Proceedings of the 7th ACM european conference on Computer Systems
Large-scale incremental data processing with change propagation
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
Shredder: GPU-accelerated incremental storage and computation
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Putting a "big-data" platform to good use: training kinect
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Using R for iterative and incremental processing
HotCloud'12 Proceedings of the 4th USENIX conference on Hot Topics in Cloud Ccomputing
Facilitating real-time graph mining
Proceedings of the fourth international workshop on Cloud data management
Streaming big data with self-adjusting computation
DDFP '13 Proceedings of the 2013 workshop on Data driven functional programming
Tiled-MapReduce: Efficient and Flexible MapReduce Processing on Multicore with Tiling
ACM Transactions on Architecture and Code Optimization (TACO)
Breaking the MapReduce stage barrier
Cluster Computing
TimeStream: reliable stream computation in the cloud
Proceedings of the 8th ACM European Conference on Computer Systems
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Many large-scale (cloud) computations operate on append-only, partitioned datasets. We present two incremental computation frameworks to reuse prior work in these circumstances: (1) reusing identical computations already performed on data partitions, and (2) computing just on the newly appended data and merging the new and previous results.