Emma in Action: Declarative Dataflows for Scalable Data Analysis Alexander Alexandrov Andreas Salzmann Georgi Krastev Asterios Katsifodimos

Source URL: stratosphere.eu

• Computing
• Software engineering
• Computer programming
• Parallel computing
• Concurrent programming languages
• Functional languages
• Apache Software Foundation
• Cluster computing
• Apache Spark
• Apache Flink
• Scala
• Monad

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, JANUARYExploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud

Source URL: stratosphere.eu

• Parallel computing
• Cloud infrastructure
• MapReduce
• Data-intensive computing
• Apache Hadoop
• Amazon Elastic Compute Cloud
• Directed acyclic graph
• Map
• Job scheduler
• Scheduling
• Cloud computing
• Eucalyptus

Peeking into the Optimization of Data Flow Programs with MapReduce-style UDFs Fabian Hueske ∗1 , Mathias Peters †2 , Aljoscha Krettek ∗3 , Matthias Ringwald ∗4 , Kostas Tzoumas ∗5 , Volker Markl ∗6 , Johann-C

Source URL: stratosphere.eu

• SQL
• Parallel computing
• Database management systems
• Distributed computing architecture
• Data management
• Query optimization
• MapReduce
• Query plan
• Program optimization
• Mathematical optimization
• Big data
• Database

Implicit Parallelism through Deep Language Embedding Alexander Alexandrov Lauritz Thamsen Andreas Kunft Odej Kao

Source URL: stratosphere.eu

• Software engineering
• Computer programming
• Computing
• Functional languages
• Higher-order functions
• Programming language comparisons
• Concurrent programming languages
• Object-oriented programming languages
• Monad
• Set-builder notation
• Scala
• Haskell

MapReduce and PACT - Comparing Data Parallel Programming Models Alexander Alexandrov, Stephan Ewen, Max Heimel, Fabian Hueske, Odej Kao, Volker Markl, Erik Nijkamp, Daniel Warneke Technische Universit¨at Berlin, Germany

Source URL: stratosphere.eu

• Concurrent computing
• Computing
• Parallel computing
• Distributed computing architecture
• Parallelization contract
• MapReduce
• Apache Hadoop
• Map
• Data
• XQuery
• Data-intensive computing
• Aster Data Systems

Evolution of a critical layer (Haynes 2002) Kelvin cats’ eyes in the stratosphere

Source URL: climate-dynamics.org

2011 IEEE International Parallel & Distributed Processing Symposium Evaluating Adaptive Compression to Mitigate the Effects of Shared I/O in Clouds Matthias Hovestadt, Odej Kao, Andreas Kliem and Daniel Warneke Technisc

Source URL: stratosphere.eu

• Software
• Computing
• System software
• Cloud infrastructure
• Cloud computing
• Virtualization
• Xen
• Hyper-V
• Virtual machine
• I/O virtualization
• Hypervisor
• Kernel-based Virtual Machine

Enabling Operator Reordering in Data Flow Programs Through Static Code Analysis Fabian Hueske Aljoscha Krettek

Source URL: stratosphere.eu

• Parallel computing
• Computability theory
• Subroutines
• Theoretical computer science
• Distributed computing architecture
• MapReduce
• Data-intensive computing
• User-defined function
• MAD
• Recursion
• Algorithm
• Big O notation

Spinning Fast Iterative Data Flows Stephan Ewen 1 1,2,4 Kostas Tzoumas 2

Source URL: stratosphere.eu

• Compiler optimizations
• Fractals
• Iteration
• Project management
• Time management
• PageRank
• Data-flow analysis
• Mathematical optimization
• Directed acyclic graph
• Algorithm
• RochaThatte cycle detection algorithm
• BMDFM

Myriad: Scalable and Expressive Data Generation Alexander Alexandrov∗ Kostas Tzoumas∗ Volker Markl∗

Source URL: stratosphere.eu

• Pseudorandom number generators
• Cryptography
• Randomness
• Applied mathematics
• Random number generation
• Fortuna
• Data-intensive computing
• Pseudorandomness
• Random walk
• Cryptographically secure pseudorandom number generator