Name
Abstract | ||
|---|---|---|
Cloud computing is an emerging paradigm aimed to offer users pay-per-use computing resources, while leaving the burden of managing the computing infrastructure to the cloud provider. We present a new programming and pricing model that gives the cloud user the flexibility of trading execution speed and price on a per-job basis. We discuss the scheduling and resource management challenges for the cloud provider that arise in the implementation of this model. We argue that techniques from real-time and embedded software can be useful in this context. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1879021.1879022 | International Workshop on Embedded Systems |
Keywords | Field | DocType |
resource management challenge,computing infrastructure,cloud computing,worst-case execution time,cloud user,cloud resource,new programming,large-scale scheduling,cloud provider,embedded software,per-job basis,trading execution speed,pricing models,pricing model,iaas,worst case execution time,resource manager | Resource management,Embedded software,Worst-case execution time,Scheduling (computing),Computer science,Real-time computing,Utility computing,Cloud computing security,Cloud testing,Distributed computing,Cloud computing | Conference |
Citations | PageRank | References |
13 | 0.70 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas A. Henzinger | 1 | 14827 | 1317.51 |
| Anmol V. Singh | 2 | 108 | 4.88 |
| Vasu Singh | 3 | 186 | 9.36 |
| Thomas Wies | 4 | 515 | 28.26 |
| Damien Zufferey | 5 | 358 | 22.61 |