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Cache huge data in-memory
A Redis Cluster sounds like a good fit for your usecase! Redis cluster provides a mechanism for data sharding by means of hash slots. These slots are equally distributed over the nodes in your cluster when setting it up. Whenever you store a value in the cluser, the corresponding hash slot for the given key is calculated and the data is forwarded to the responsible node. And the same way you can

Categories : Caching

Write-back vs Write-Through
The benefit of write-through to main memory is that it simplifies the design of the computer system. With write-through, the main memory always has an up-to-date copy of the line. So when a read is done, main memory can always reply with the requested data. If write-back is used, sometimes the up-to-date data is in a processor cache, and sometimes it is in main memory. If the data is in a proc

Categories : Caching

ElastiCache Maintenance Window Availability
How long does it generally take? Under 60 minutes: "If a "maintenance" event is scheduled for a given week, it will be initiated and completed at some point during the 60 minute maintenance window you identify." How often: Software patching occurs infrequently (typically once every few months) and should seldom require more than a fraction of your maintenance window. If you do not specify a p

Categories : Caching

Computer Architecture: Cache Transfer Analysis
You need to compute first your cache line size: Number of cache blocks: 2MB / 128B = 16384 blocks (14 bits) Number of sets: 16384 / 8 way = 2048 sets (11 bits) Address width: 32 bits Line offset bits: 32 - 14 - 11 = 7 bits So the cache line size is 128B - actually a line is a block but it's good to know the above computation. a) How much user data is transferred from the main memory to th

Categories : Caching

Sesame caching common queries
I assume that what you want to "cache" is the query result for a given query with specific value. You can very easily build such a cache yourself. Just create a class for the general query that internally keeps a reference to a HashMap that maps from a value key (e.g. the placeid for your example query) to a query result: HashMap<URI, TupleQueryResult> cache = new HashMap<>(); Then

Categories : Caching

gulp-ruby-sass plugin not caching Sass files
I expect that you issue is related to https://github.com/sindresorhus/gulp-ruby-sass/issues/111. Although this issue is open still, i can't not confirm your issue when using generator-gulp-webapp 0.3.0 (and gulp-ruby-sass 1.0.1 with Sass 3.4.13 (Selective Steve)) generator-gulp-webapp 0.3.0 ships with gulp-sass by default. After installing a gulp-webapp with Sass and Bootstrap i replace the style

Categories : Caching

Memory cache is not working properly
Let me answer it myself... Code in Uboot is a little misleading... it run set_section_dcache(i, DCACHE_WRITEBACK_WRITETHROUGH) but after checking the MMU, it turns out that the memory type is set to be device.

Categories : Caching


Recently Add
modules view in suitecrm is empty while search works fine
Cache huge data in-memory
Write-back vs Write-Through
ElastiCache Maintenance Window Availability
Computer Architecture: Cache Transfer Analysis
Sesame caching common queries
gulp-ruby-sass plugin not caching Sass files
Memory cache is not working properly
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