We continue discussing the best practice from storage engineering:
31) Acceleration- although network acceleration with the help of direct tcp connections is essentially a networking tier technique it is equally applicable in the storage tier when the tier spans over geographically distributed regions
32) Datacenters and data stores: the choice of locations for datacenters and Data stores plays heavily into the consolidation of storage technologies. When virtual machines are spun up on organizational assets, they are often done in private datacenters. Many web services use the datastore for their storage especially if they have no need for local storage. Therefore, storage offerings have to be mindful often the presence of large datastores.
33) Distributed hash table. In order to scale horizontally over commodity compute, storage tier use a distributed hash table to assign and delegate resources and tasks. This facilitates a large Peer to Peer network that works well with large scale processing including high volume workload.
34) Cluster This is another form of deployment as opposed to a single server deployment of storage servers. The advantages of using a cluster include horizontal scalability, fault tolerance and high availability. Cluster technology is now common practice and is widely adopted for any server deployment.
35) Container Docker containers are also immensely popular for deployment and every server benefit from portability because it makes the server resilient from the issues faced by the host.
36) Congestion control: when requests are queued to the storage server, it can use the same sliding window technique that is used for congestion control in a tcp connection. Fundamentally there is no difference between giving each request a serial number in either case and handling them with the boundaries of the received and the processed at a rate that can keep the bounds manageable.
31) Acceleration- although network acceleration with the help of direct tcp connections is essentially a networking tier technique it is equally applicable in the storage tier when the tier spans over geographically distributed regions
32) Datacenters and data stores: the choice of locations for datacenters and Data stores plays heavily into the consolidation of storage technologies. When virtual machines are spun up on organizational assets, they are often done in private datacenters. Many web services use the datastore for their storage especially if they have no need for local storage. Therefore, storage offerings have to be mindful often the presence of large datastores.
33) Distributed hash table. In order to scale horizontally over commodity compute, storage tier use a distributed hash table to assign and delegate resources and tasks. This facilitates a large Peer to Peer network that works well with large scale processing including high volume workload.
34) Cluster This is another form of deployment as opposed to a single server deployment of storage servers. The advantages of using a cluster include horizontal scalability, fault tolerance and high availability. Cluster technology is now common practice and is widely adopted for any server deployment.
35) Container Docker containers are also immensely popular for deployment and every server benefit from portability because it makes the server resilient from the issues faced by the host.
36) Congestion control: when requests are queued to the storage server, it can use the same sliding window technique that is used for congestion control in a tcp connection. Fundamentally there is no difference between giving each request a serial number in either case and handling them with the boundaries of the received and the processed at a rate that can keep the bounds manageable.
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