Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: parallel processing systems for big data : a survey .
The family of mapreduce and large-scale data processing systems
Parallel Stream Processing Against Workload Skewness and Variance
BigSim: a parallel simulator for performance prediction of extremely large parallel machines
An Experimental Comparison of Pregel-like Graph Processing Systems
STREAMSCOPE: continuous reliable distributed processing of big data streams
A Survey of the Stream Processing Landscape
Big Data Computing and Clouds: Challenges, Solutions, and Future Directions
Beyond Batch Processing: Towards Real-Time and Streaming Big Data
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
Review on Parallel and Distributed Computing
Parallel in-situ data processing with speculative loading
Advanced partitioning techniques for massively distributed computation
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
BigBench: towards an industry standard benchmark for big data analytics
Big Data 2.0 Processing Systems: Taxonomy and Open Challenges
A Survey of Parallel Programming Models and Tools in the Multi and Many-Core Era
On the Efficiency and Programmability of Large Graph Processing in the Cloud
On Traffic-Aware Partition and Aggregation in Map Reduce for Big Data Applications
Scalable Distributed Stream Processing
Quad trees a data structure for retrieval on composite keys
Differential Speed Steering Control for Four-Wheel Independent Driving Electric Vehicle
Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm
G-CORE A Core for Future GraphQuery Languages Designed by the LDBC Graph Query Language Task Force
Detecting large-scale system problems by mining console logs