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Benchmarking Power-Efficient Servers
modapi writes "According to the EPA, data centers — not including Google et al. — are on track to double power consumption in the next five years, to 3% of the US energy budget. That is a lot of expensive power. Can we cut the power requirement? We could, if we had a reliable way to benchmark power consumption across architectures. Which is what JouleSort: A Balanced Energy-Efficiency Benchmark (PDF), by a team from HP and Stanford, tries to do. StorageMojo summarizes the key findings of the paper and contrasts it with the recent Google paper, Power Provisioning for a Warehouse-sized Computer (PDF). The HP/Stanford authors use the benchmark to design a power-efficient server — with a mobile processor and lots of I/O — and to consider the role of software, RAM, and power supplies in power consumption."
Answer me this : how much power is lost through the use of inefficient programming languages and architectures which only emphasize processor speed, instead of balancing memory, processor and IO ?
Python, Perl and PHP all suffer from one big drawback : when you scale up you need that much extra processor power. One programming language I know (Common Lisp) offers the advantages of them, but can be compiled to near C/C++ speeds. I suppose there are others. Don't come saying that programmers are expensive. It seems that what you gain on programmers, you lose in the cost of your datacenter. I don't know how Java matches here, it probably depends upon the deployment of more recent JIT compilers.
If you see how much a process has to wait on IO, how come there are still no good solutions in providing enough IO bandwidth that the processor can use fully ? (Unless you buy a mainframe or iSeries system that is)
Just asking.