Modern solid state drives (SSDs) are composed of
a four-level parallel structure,
including channels, chips, dies, and planes, to enhance SSD performance with maximum access parallelism.
Because the planes within the same die
share the same set of control units
and peripheral circuits, it generally has to open multiple aligned blocks
to enable access parallelism through multi-plane (MP) operations.
Such a passive method, however,
cannot effectively exploit plane level parallelism, since MP operations can only be triggered when the accessed data pages have the same offset address across the planes. In addition, it will worsen the block open time issue, as multiple aligned blocks are opened to
enable MP operations for simultaneous data writing. This, in turn, increases the error rate when reading data from blocks
with long open time. This paper introduces \textit{SetMP},
a novel approach that proactively aggregates requests
to exploit plane level parallelism through \textbf{set} associative management.
By increasing the frequency of MP operations,
\textit{SetMP} enhances I/O responsiveness
while reducing the open time of block
associated with
maintaining multiple open blocks for MP operations.
Evaluation results demonstrate that
\textit{SetMP} achieves an average reduction in I/O latency
of \texttt{16.9}%, without significantly increasing
the open time of block,
outperforming existing optimization schemes.