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Incast is a phenomenon when multiple devices interact with only one device at a giventime. Multiple storage senders overflow either the switch buffer or the single-receiver memory. This patterncauses all concurrent-senders to stop and wait for buffer/memory availability, and leads to a packet loss andretransmission—resulting in a huge latency. We present a software-defined technique tackling the manyto-one communication pattern —Incast—in a data center storage cluster. Our proposed method decouplesthe default TCP windowing mechanism from all storage servers, and delegates it to the software-definedstorage controller. The proposed method removes the TCP saw-tooth behavior, provides a global flowawareness, and implements the dynamic fair-share buffer policy for end-to-end I/O path. It considers allI/O stages (applications, device drivers, NICs, switches/routers, file systems, I/O schedulers, main memory,and physical disks), while achieving the maximum I/O throughput. The policy, which is the part of proposedmethod, allocates fair-share bandwidth utilization for all storage servers. Priority queues are incorporated tohandle the most important data flows. In addition, the proposed method provides better manageability andmaintainability compared with traditional storage networks, where data plane and control plane reside inthe same device.

Incast Mitigation in a Data Center Storage Cluster Through a Dynamic Fair-Share Buffer Policy