distributed

Closed . This question needs to be more focused . It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post . Closed 5 years ago . I am learning about REST API and I am unable to understand how REST is used in distributed web application? This is the only reference i have seen. But still I am unable to learn about REST for distributed computing. Thank You in advance. It isn’t really clear to me, what you are asking with your question, but generally - REST is just another way to do RMI (Remote Method

I have a mac mini on which I do some iphone and other experimental development. It is hideously slow to build some of the larger projects I have tried out (like 3d engines and such). There are some support for distributed builds with distcc and I have a quad core linux box just standing idle beside it. The question is: is it possible to set up a distcc environment on the linux box that would build ordinary mac objective c or c++ projects, or even iphone projects? Has anyone tried/succeeded in doing this, or is it just not possible? Yes, it's possible. No, it's not easy. But I've done most of

How accurate is NTP for keeping a set of servers time synchronized? I'm writing a service which requires a set of servers (some acting as clients, some as servers) synchronized to second level granularity. I'm wondering if NTP is the best thing to use, or if there's something better? Should I run a ntp server on one of them, and have the others use that as their source? Any other recommendations/horror stories with NTP? All the servers are linux. Update: Service levels: I'd like the one server to be accurate UTC(second level, not microsecond or such), and I'd like all the other servers to be

I tried to read the document multiple times but failed to understand it. Can someone explain it in layman's terms? TrueTime is an API available at Google that directly exposes clock uncertainty. Comparing to standard datetime libraries , instead of a particular timestamp, TrueTime's now() function returns an interval of time [earliest, latest]. It also provides two functions: after(t) returns true if t has definitely passed. E.g. t < now().earliest . before(t) returns true if t has definitely not arrived, or t > now().latest . What's impressive, is that the implementation of now() returns

Could you recommend simple tutorial about using log4j in distributed system, especially about SocketAppender? I tried to find some basic examples, but I failed. Brian Agnew This one looks simple and straightforward. From the article: Example server startup with SimpleSocketServer (from the command line): > java -jar log4j.jar org.apache.log4j.net.SimpleSocketServer 4712 log4j-server.properties Now all you have to do is specify your appender on the client. Example appender: > log4j.appender.SERVER=org.apache.log4j.net.SocketAppender > log4j.appender.SERVER.Port=4712 > log4j.appender.SERVER

Why multi-paxos is called multi-paxos? I can't see how it is "multi". It's about multiple rounds of the algorithm to agree sequential requests from a stable leader with minimal messaging. Initially with no recognised leader you must run at least one round of basic Paxos where a candidate leader sends a prepare request (using the terminology of the paper Paxos Made Simple ). Positive responses from a majority confirm it as leader. It then sends accept messages for that round which terminates successfully if you get a majority of accept acknowledgements. Rather than start again with prepare

In the API, there is a way to restart all workers and to shutdown the client completely, but I see no way to stop all workers while keeping the client unchanged. Is there a way to do this that I cannot find or is it a feature that doesn't exist ? mdurant This seems like a feature that does not exist, but is nevertheless doable using the current code. You can use run_on_scheduler to interact with the methods of the scheduler itself. workers = list(c.scheduler_info()['workers']) c.run_on_scheduler(lambda dask_scheduler=None: dask_scheduler.retire_workers(workers, close_workers=True)) where c is