Name
Abstract | ||
|---|---|---|
Computational spot markets enable users to bid on servers, and then continuously allocates them to the highest bidder: if a user is \"out bid\" for a server, the market revokes it and re-allocates it to the new highest bidder. Spot markets are common when trading commodities to balance real-time supply and demand--cloud platforms use them to sell their idle capacity, which varies over time. However, server-time differs from other commodities in that it is \"stateful\": losing a spot server incurs an overhead that decreases the useful work it performs. Thus, variations in the spot price actually affect the inherent value of server-time bought in the spot market. As the spot market matures, we argue that price volatility will significantly decrease the value of spot servers. Thus, somewhat counter-intuitively, spot markets may not maximize the value of idle server capacity. To address the problem, we propose a more sustainable alternative that offers a variable amount of idle capacity to users for a fixed price, but with transient guarantees. |
Year | Venue | Field |
|---|---|---|
2016 | HotCloud | Spot contract,Computer science,Idle,Server,Fixed price,Computer network,Volatility (finance),Forward contract,Cloud computing,Distributed computing,Spot market |
DocType | Citations | PageRank |
Conference | 5 | 0.45 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Supreeth Subramanya | 1 | 45 | 2.36 |
| Amr Rizk | 2 | 209 | 27.28 |
| David E. Irwin | 3 | 899 | 98.12 |