Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
State-of-the-art networked storage servers are equipped with increasingly powerful computing capability and large DRAM memory as storage caches. However, their contribution to the...
This work focuses on scenarios that require the storage of large amounts of data. Such systems require the ability to either continuously increase the storage space or reclaim spa...
This paper investigates randomization and replication as strategies to achieve reliable performance in disk arrays targeted for video-on-demand (VoD) workloads. A disk array can p...
This paper presents and evaluates a strategy for integrating the Snort network intrusion detection system into a high-performance programmable Ethernet network interface card (NIC...