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ACM Transactions on Programming Languages and Systems (TOPLAS)
A framework for the parallel processing of Datalog queries
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
The Linda alternative to message-passing systems
Parallel Computing - Special issue: message passing interfaces
Supporting Fault-Tolerant Parallel Programming in Linda
IEEE Transactions on Parallel and Distributed Systems
SQL: 1999, formerly known as SQL3
ACM SIGMOD Record
ACM Computing Surveys (CSUR)
Adaptive Parallelism and Piranha
Computer
What You Always Wanted to Know About Datalog (And Never Dared to Ask)
IEEE Transactions on Knowledge and Data Engineering
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
Sinfonia: a new paradigm for building scalable distributed systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Clustera: an integrated computation and data management system
Proceedings of the VLDB Endowment
SCOPE: easy and efficient parallel processing of massive data sets
Proceedings of the VLDB Endowment
Hive: a warehousing solution over a map-reduce framework
Proceedings of the VLDB Endowment
FlumeJava: easy, efficient data-parallel pipelines
PLDI '10 Proceedings of the 2010 ACM SIGPLAN conference on Programming language design and implementation
Stateful bulk processing for incremental analytics
Proceedings of the 1st ACM symposium on Cloud computing
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
Proceedings of the 1st ACM symposium on Cloud computing
Pregel: a system for large-scale graph processing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Twister: a runtime for iterative MapReduce
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Spark: cluster computing with working sets
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
HaLoop: efficient iterative data processing on large clusters
Proceedings of the VLDB Endowment
Large-scale incremental processing using distributed transactions and notifications
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Piccolo: building fast, distributed programs with partitioned tables
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
CIEL: a universal execution engine for distributed data-flow computing
Proceedings of the 8th USENIX conference on Networked systems design and implementation
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HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
Hyracks: A flexible and extensible foundation for data-intensive computing
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Incoop: MapReduce for incremental computations
Proceedings of the 2nd ACM Symposium on Cloud Computing
Fast crash recovery in RAMCloud
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
MadLINQ: large-scale distributed matrix computation for the cloud
Proceedings of the 7th ACM european conference on Computer Systems
Dedalus: datalog in time and space
Datalog'10 Proceedings of the First international conference on Datalog Reloaded
Distributed GraphLab: a framework for machine learning and data mining in the cloud
Proceedings of the VLDB Endowment
Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
HyperDex: a distributed, searchable key-value store
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Oolong: asynchronous distributed applications made easy
Proceedings of the Asia-Pacific Workshop on Systems
REX: recursive, delta-based data-centric computation
Proceedings of the VLDB Endowment
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We present Celias, a new concurrent programming model for data-intensive scalable computing. Celias supports many virtues commonly found in existing distributed programming frameworks, such as elastic scaling and fault tolerance, without sacrificing expressiveness. The key design idea of Celias is the concept of a microtask, as a scalable, fault-tolerant, and completely data-driven unit of computation. By combining Tuplespace and microtasks, Celias provides an intuitive yet powerful programming abstraction for large and complex problems.