  Most data intensive applications often access only a few fields of the
objects they are operating on. Since NVM provides fast, byte-addressable access
to durable memory, it is possible to access various fields of an object stored
in NVM directly without incurring any serialization and deserialization cost.
This paper proposes a novel tiered object storage model that modifies a data
structure such that only a chosen subset of fields of the data structure are
stored in NVM, while the remaining fields are stored in a cheaper (and a
traditional) storage layer such as HDDs/SSDs. We introduce a novel
linear-programming based optimization framework for deciding the field
placement. Our proof of concept demonstrates that a tiered object storage model
improves the execution time of standard operations by up to 50\% by avoiding
the cost of serialization/deserialization and by reducing the memory footprint
of operations.
