Demo Data from EDBT 2026 / reviewers in the wild / expert
Feng Wang 0003
dblp:w/FengWang3
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 4 · 3 first-authorDatabases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
storage reliability |
0.2 | 2 | 2015 | Purity: Building Fast, Highly-Available Enterprise Flash Storage from Commodity Components · SIGMOD Conference 2015 Using MEMS-based storage in computer systems - MEMS storage architectures · ACM Trans. Storage 2006 |
Storage systems › data reduction
deduplication and compression |
0.2 | 1 | 2015 | Purity: Building Fast, Highly-Available Enterprise Flash Storage from Commodity Components · SIGMOD Conference 2015 |
Storage systems › flash and SSD › flash memory
flash storage |
0.2 | 1 | 2015 | Purity: Building Fast, Highly-Available Enterprise Flash Storage from Commodity Components · SIGMOD Conference 2015 |
Storage systems › storage devices
MEMS-based storage |
0.1 | 1 | 2006 | Using MEMS-based storage in computer systems - MEMS storage architectures · ACM Trans. Storage 2006 |
Storage systems
storage hierarchy |
0.1 | 1 | 2006 | Using MEMS-based storage in computer systems - MEMS storage architectures · ACM Trans. Storage 2006 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Purity: Building Fast, Highly-Available Enterprise Flash Storage from Commodity ComponentsabstractAlthough flash storage has largely replaced hard disks in consumer class devices, enterprise workloads pose unique challenges that have slowed adoption of flash in ``performance tier'' storage appliances. In this paper, we describe Purity, the foundation of Pure Storage's Flash Arrays, the first all-flash enterprise storage system to support compression, deduplication, and high-availability. John Colgrove, John D. Davis, John Hayes, Ethan L. Miller, Cary Sandvig, Russell Sears, Ari Tamches, Neil Vachharajani, Feng Wang 0003 |
SIGMOD Conference | 9 |
| 2006 | Using MEMS-based storage in computer systems - MEMS storage architecturesabstractAs an emerging nonvolatile secondary storage technology, MEMS-based storage exhibits several desirable properties including high performance, high storage volumic density, low power consumption, low entry cost, and small form factor. However, MEMS-based storage provides a limited amount of storage per device and is likely to be more expensive than magnetic disk. Systems designers will therefore need to make trade-offs to achieve well-balanced designs. We present an architecture in which MEMS devices are organized into MEMS storage enclosures with online spares. Such enclosures are proven to be highly reliable storage building bricks with no maintenance during their economic lifetimes. We also demonstrate the effectiveness of using MEMS as another layer in the storage hierarchy, bridging the cost and performance gap between MEMS storage and disk. We show that using MEMS as a disk cache can significantly improve system performance and cost-performance ratio. Feng Wang 0003, Scott A. Brandt, Darrell D. E. Long, Thomas J. E. Schwarz |
ACM Trans. Storage | 2 |
| 2005 | Using MEMS-Based Storage to Boost Disk PerformanceabstractNon-volatile storage technologies such as flash memory, magnetic RAM (MRAM), and MEMS-based storage are emerging as serious alternatives to disk drives. Among these, MEMS storage is predicted to be the least expensive and highest density, and at about 1 ms access times still considerably faster than hard disk drives. Like the other emerging non-volatile storage technologies, it is highly suitable for small mobile devices but it is expensive to replace hard drives entirely. Its non-volatility, dense storage, and high performance still make it an ideal candidate for the secondary storage subsystem. We examine the use of MEMS storage in the storage hierarchy and show that using a technique called MEMS caching disk, we can achieve 30-49% of the pure MEMS storage performance by using only a small amount (3% of the disk capacity) of MEMS storage in conjunction with a standard hard drive. The resulting system is ideally suited for commercial packaging with a small MEMS device included as part of a standard disk controller or paired with a disk. Feng Wang 0003, Scott A. Brandt, Darrell D. E. Long |
MSST | 1 |
| 2004 | OBFS: A File System for Object-Based Storage Devices
Feng Wang 0003, Scott A. Brandt, Ethan L. Miller, Darrell D. E. Long |
MSST | 1 |
| 2004 | File System Workload Analysis For Large Scientific Computing Applications
Feng Wang 0003, Qin Xin 0005, Scott A. Brandt, Ethan L. Miller, Darrell D. E. Long, Tyce T. McLarty |
MSST | 1 |