With the explosive increase of big data in industry and academic fields, it is important to
apply large-scale data processing systems to analyze Big Data. Arguably, Spark is the state …

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and
failure-handling in data centers by physically separating hardware devices in a server …

High-performance flash-based key-value stores in data-centers utilize large amounts of
DRAM to cache hot data. However, motivated by the high cost and power consumption of …

The current mobile applications have rapidly growing memory footprints, posing a great
challenge for memory system design. Insufficient DRAM main memory will incur frequent …

Abstract Non-Volatile Main Memories (NVMMs) have recently emerged as a promising
technology for future memory systems. Generally, NVMMs have many desirable properties …

Hybrid memory systems, comprised of emerging non-volatile memory (NVM) and DRAM,
have been proposed to address the growing memory demand of current mobile …

Emerging NVM is promising to become the next-generation storage media. However, its
high cost hinders its development. Recent deduplication researches in NVM file systems …

Hybrid memory systems composed of emerging non-volatile memory (NVM) and DRAM
have drawn increasing attention in recent years. To fully exploit the advantages of both NVM …

High-performance flash-based key-value stores in data-centers utilize large amounts of
DRAM to cache hot data. However, motivated by the high cost and power consumption of …

Non-uniform memory access (NUMA) architectures feature asymmetrical memory access
latencies on different CPU nodes. Hybrid memory systems composed of non-volatile …