Name
Abstract | ||
|---|---|---|
As the latency of the network approaches that of memory, it becomes increasingly attractive for applications to use remote memory---random-access memory at another computer that is accessed using the virtual memory subsystem. This is an old idea whose time has come, in the age of fast networks. To work effectively, remote memory must address many technical challenges. In this paper, we enumerate these challenges, discuss their feasibility, explain how some of them are addressed by recent work, and indicate other promising ways to tackle them. Some challenges remain as open problems, while others deserve more study. In this paper, we hope to provide a broad research agenda around this topic, by proposing more problems than solutions.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3127479.3131612 | SoCC '17: ACM Symposium on Cloud Computing
Santa Clara
California
September, 2017 |
Field | DocType | ISBN |
Data science,World Wide Web,Real time analytics,Latency (engineering),Virtual memory,Computer science,Distributed memory,Real-time computing,Distributed database,Data virtualization,Remote memory | Conference | 978-1-4503-5028-0 |
Citations | PageRank | References |
8 | 0.47 | 23 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcos Kawazoe Aguilera | 1 | 2519 | 153.60 |
| Nadav Amit | 2 | 217 | 12.13 |
| Irina Calciu | 3 | 108 | 6.96 |
| Xavier Deguillard | 4 | 8 | 0.47 |
| Jayneel Gandhi | 5 | 353 | 14.74 |
| Pratap Subrahmanyam | 6 | 31 | 3.73 |
| P. Lalith Suresh | 7 | 218 | 14.95 |
| Kiran Tati | 8 | 8 | 0.47 |
| Rajesh Venkatasubramanian | 9 | 8 | 0.47 |
| Michael Wei | 10 | 15 | 1.91 |