Maestro : replica-aware map scheduling for MapReduce

• Main Authors: Ibrahim, Shadi, Jin, Hai, Lu, Lu, He, Bingsheng, Antoniu, Gabriel, Wu, Song
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/101331; http://hdl.handle.net/10220/16723
• Institution: Nanyang Technological University

MapReduce has emerged as a leading programming model for data-intensive computing. Many recent research efforts have focused on improving the performance of the distributed frameworks supporting this model. Many optimizations are network-oriented and most of them mainly address the data shuffling st...