I\'m using hash_ring package for distributing objects among servers. I\'ve assumed that distribution would be uniform, as it\'s based on开发者_如何学JAVA MD5 hashes. Unfortunately it\'s not the case.
On the project voldemort design page: http://project-voldemort.com/design.php It is stated that the hash ring covers the interval [0, 2^31-1].
Basically, I would want to implement the following algorithms and analyze how the system built using these algorithms behave under different conditions.
Assume we have a user table to be partitioned by user id as integer 1,2,3...n . Can I use the wayof consistent hashing used to partition t开发者_如何学Pythonhe table?
I was asked some shortcommings of consistent hash. But I think it just costs a little more than a traditional hash%N hash. As the title mentioned, if consistent hash is very good, why not we just use
As an exerc开发者_开发问答ice to familiarize myself with 0MQ, I try to code a simple Memcached-like distributed in-memory
I have a producer that I want to distribute work consistently across consumers by consistent hashing. For example, with consumer nodes X and Y, tasks A, B, C should always go to consumer X, and D, E,
I have thought a bit about making a somewhat lightweight consistent-hashing-like PHP function to shard uploaded files between different servers.
Python-memcached is the official supported memcached driver for Django. Does it support Consistent hashing开发者_StackOverflow
再过一周，魅族将发布真正的旗舰手机MX4 Pro。最近的势头让大家对MX4 Pro的配置充满期待。——2K屏幕不会运行，处理器也会是拔尖的，但是具体型号一直不知道。考虑到魅族对三星处理器传统的偏爱，大家纷纷猜测MX4 P
加载中,请稍侯......