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Scalability! But at what COST?
We offer a new metric for big data platforms, COST,
or the Configuration that Outperforms a Single Thread.
The COST of a given platform for a given problem is the
hardware configuration required before the platform outperforms
a competent single-threaded implementation.
COST weighs a system’s scalability against the overheads
introduced by the system, and indicates the actual
performance gains of the system, without rewarding systems
that bring substantial but parallelizable overheads.
We survey measurements of data-parallel systems recently
reported in SOSP and OSDI, and find that many
systems have either a surprisingly large COST, often
hundreds of cores, or simply underperform one thread
for all of their reported configurations.
benchmark  coding  performance  big-data  scalability  paper  filetype:pdf  economics 
april 2018
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