2005 Analytics Cache Performance 
ScaleOut Software
JUNE 22, 2020
From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.
ScaleOut Software
JUNE 22, 2020
From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.
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John McCalpin
APRIL 2, 2020
This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.
Smashing Magazine
MAY 17, 2021
Performance is a core feature of our company, Instant Domain Search —it’s in the name. I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. Beau Hartshorne. 2021-05-17T11:30:00+00:00. 2021-05-17T14:40:42+00:00.
Dean Hume
APRIL 24, 2018
Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!
Dean Hume
APRIL 24, 2018
Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!
Dean Hume
APRIL 24, 2018
Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!
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