ABSTRACT
Current trends in main memory capacity and cost indicate that in a few years most performance-critical applications will have all (or most of) their data stored in the main memory of the nodes of a small-size cluster. A few recent research papers have pointed this out and proposed architectures taking advantage of clustered environments aggregating powerful processors equipped with large main memories. This position paper proposes yet another approach, which builds on Distributed Shared Memory systems (DSMs) introduced in the early 80's. We introduce the idea of the dsmDB, discuss how its architecture could be organized, and elaborate on some of its algorithms. We conclude the paper with a discussion of some of its advantages and drawbacks.
- L. Camargos, F. Pedone, and M. Wieloch. Sprint: A middleware for highperformance transaction processing. In Eurosys, 2007. Google ScholarDigital Library
- E. Cecchet, G. Candea, and A. Ailamaki. Middleware-based database replication: The gaps between theory and practice. In SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008. Google ScholarDigital Library
- B. Devlin, J. Gray, B. Laing, and G. Spix. Scalability terminology: Farms, clones, partitions, and packs: Racs and raps. Technical report, Microsoft, 1999.Google Scholar
- S. Elnikety, S. Dropsho, and W. Zwaenepoel. Tashkent+: Memory-aware load balancing and update filtering in replicated databases. In Eurosys, 2007. Google ScholarDigital Library
- Mysql cluster architecture overview, April 2004. Online Technical White Paper.Google Scholar
- B. Nitzberg and V. Lo. Distributed shared memory: A survey of issues and algorithms. IEEE Computer, 24(8):52--60, August 1991. Google ScholarDigital Library
- Oracle TimesTen products and technologies, February 2007. Online White Paper.Google Scholar
- F. Pedone. The Database State Machine and Group Communication Issues. PhD thesis, École Polytechnique Fédérale de Lausanne, Switzerland, 1999. Number 2090.Google Scholar
- Oracle real application cluster 11g, April 2007. Online White Paper.Google Scholar
- M. Stonebraker, S. Madden, D. Abbadi, S. Harizopoulos, N. Hachem, and P. Helland. The end of an architectural era (it's time for a complete rewrite). In VLDB, 2007. Google ScholarDigital Library
Index Terms
- dsmDB: a distributed shared memory approach for building replicated database systems
Recommendations
WOM-Code Solutions for Low Latency and High Endurance in Phase Change Memory
This paper describes a write-once-memory-code phase change memory (WOM-code PCM) architecture for next-generation non-volatile memory applications. Specifically, we address the long latency of the write operation in PCM—attributed to PCM SET—...
A Novel Memory Block Management Scheme for PCM Using WOM-Code
HPCC-CSS-ICESS '15: Proceedings of the 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conf on Embedded Software and SystemsPhase Change Memory (PCM) is a promising DRAM replacement in embedded systems due to its attractive characteristics including low static power consumption and high density. However, long write latency is one of the major drawbacks in current PCM ...
Mellow writes: extending lifetime in resistive memories through selective slow write backs
ISCA'16Emerging resistive memory technologies, such as PCRAM and ReRAM, have been proposed as promising replacements for DRAM-based main memory, due to their better scalability, low standby power, and non-volatility. However, limited write endurance is a major ...
Comments