DELMA: Dynamically ELastic MApReduce Framework for CPU-Intensive Applications

Download Now
Provided by: Binghamton University
Topic: Hardware
Format: PDF
Since its introduction, MapReduce implementations have been primarily focused towards static compute cluster sizes. In this paper, the authors introduce the concept of dynamic elasticity to MapReduce. They present the design decisions and implementation tradeoffs for DELMA, (Dynamically ELastic MApReduce), a framework that follows the MapReduce paradigm, just like Hadoop MapReduce, but that is capable of growing and shrinking its cluster size, as jobs are underway. In this paper, they test DELMA in diverse performance scenarios, ranging from diverse node additions to node additions at various points in the application run-time with various dataset sizes.
Download Now

Find By Topic