RAID-enabled SSDs commonly have unbalanced I/O workloads on their components (e.g. SSD channels), as the data/parity chunks in the same stripe may have varied access frequency, which greatly impacts I/O responsiveness. This paper proposes a I/O scheduling scheme by resorting to the degraded read mode and the read-modify-write mode, to reduce the long-tail latency of I/O requests in RAID-enabled SSDs. The basic idea is to avoid scheduling read or update requests to the heavily congested but targeted RAID components. Such requests are satisfied by accessing other relevant RAID components by certain XOR computations (we call the degraded modes ). Specially, we build a queuing overhead assessment model on the top of factors of data redundancy and the current blocked I/O traffics on SSD channels, to precisely dispatch incoming I/O requests to be fulfilled with the degraded mode or not. The trace-driven experiments illustrate that the proposed scheme can reduce the long-tail latency of read requests by 23.1% on average at the 99.99th percentile, in contrast to state-of-the-art scheduling methods.