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The case for ramclouds: Scalable high-performance storage entirely in dram (2009)
| Content Provider | CiteSeerX |
|---|---|
| Author | Ousterhout, John Agrawal, Parag Erickson, David Kozyrakis, Christos Leverich, Jacob Mazières, David Mitra, Subhasish Narayanan, Aravind Parulkar, Guru Rosenblum, Mendel Rumble, Stephen M. Stratmann, Eric Stutsman, Ryan |
| Description | Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale gracefully to meet the needs of large-scale Web applications, and improvements in disk capacity have far outstripped improvements in access latency and bandwidth. This paper argues for a new approach to datacenter storage called RAMCloud, where information is kept entirely in DRAM and large-scale systems are created by aggregating the main memories of thousands of commodity servers. We believe that RAMClouds can provide durable and available storage with 100-1000x the throughput of disk-based systems and 100-1000x lower access latency. The combination of low latency and large scale will enable a new breed of dataintensive applications. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2009-01-01 |
| Publisher Institution | In SIGOPS OSR. Stanford InfoLab |
| Access Restriction | Open |
| Subject Keyword | Available Storage New Approach Disk-oriented Approach Scalable High-performance Storage Outstripped Improvement Dataintensive Application Disk-based System Disk Capacity Large-scale System Commodity Server Low Latency Main Memory New Breed Access Latency Large Scale Large-scale Web Application |
| Content Type | Text |
| Resource Type | Article |
