On 01/25/2016 12:36 AM, Ravishankar N wrote:
Hi, We are planning to introduce a throttling xlator on the server (brick) process to regulate FOPS. The main motivation is to solve complaints about AFR selfheal taking too much of CPU resources. (due to too many fops for entry self-heal, rchecksums for data self-heal etc.)
I am wondering if we can re-use the same xlator for throttling bandwidth, iops etc. in addition to fops. Based on admin configured policies we could provide different upper thresholds to different clients/tenants and this could prove to be an useful feature in multitenant deployments to avoid starvation/noisy neighbor class of problems. Has any thought gone in this direction?
The throttling is achieved using the Token Bucket Filter algorithm (TBF). TBF is already used by bitrot's bitd signer (which is a client process) in gluster to regulate the CPU intensive check-sum calculation. By putting the logic on the brick side, multiple clients- selfheal, bitrot, rebalance or even the mounts themselves can avail the benefits of throttling. The TBF algorithm in a nutshell is as follows: There is a bucket which is filled at a steady (configurable) rate with tokens. Each FOP will need a fixed amount of tokens to be processed. If the bucket has that many tokens, the FOP is allowed and that many tokens are removed from the bucket. If not, the FOP is queued until the bucket is filled. The xlator will need to reside above io-threads and can have different buckets, one per client. There has to be a communication mechanism between the client and the brick (IPC?) to tell what FOPS need to be regulated from it, and the no. of tokens needed etc. These need to be re configurable via appropriate mechanisms. Each bucket will have a token filler thread which will fill the tokens in it.
If there is one bucket per client and one thread per bucket, it would be difficult to scale as the number of clients increase. How can we do this better?
The main thread will enqueue heals in a list in the bucket if there aren't enough tokens. Once the token filler detects some FOPS can be serviced, it will send a cond-broadcast to a dequeue thread which will process (stack wind) all the FOPS that have the required no. of tokens from all buckets. This is just a high level abstraction: requesting feedback on any aspect of this feature. what kind of mechanism is best between the client/bricks for tuning various parameters? What other requirements do you foresee?
I am in favor of having administrator defined policies or templates (collection of policies) being used to provide the tuning parameter per client or a set of clients. We could even have a default template per use case etc. Is there a specific need to have this negotiation between clients and servers?
Thanks, Vijay _______________________________________________ Gluster-devel mailing list Gluster-devel@xxxxxxxxxxx http://www.gluster.org/mailman/listinfo/gluster-devel
