Name
Title | ||
|---|---|---|
The Economics of Computing Workload Aggregation: Capacity, Utilization, and Cost Implications. |
Abstract | ||
|---|---|---|
According to the nist definition, one key characteristic of cloud computing is “resource poolingto serve multiple consumers using a multitenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand.” In other words, instead of running in silos, workloads with time-varying demands or processing intensities are often aggregated, assigned, and provisioned into a shared pool of resources. One obvious example is cloud computing, where workloads—say, claims processing, shopping carts, and video transcoding—from multiple customers—say, insurers, ecommerce companies, and online streaming entertainment firms—are aggregated together, mapped to a shared pool of physical resources such as servers, and then execute on those resources. This is similar to the way that lodging needs of travelers are aggregated together; guests are assigned actual hotel rooms; and then are checked in and move their luggage up to their room for the duration of their stay. |
Year | Venue | Field |
|---|---|---|
2017 | IEEE Cloud Computing | Workload,Computer security,Computer science,Entertainment,Server,Capacity utilization,Multitenancy,Provisioning,NIST,Database,Cloud computing |
DocType | Volume | Issue |
Journal | 4 | 5 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Zeck | 1 | 0 | 0.34 |
| Jack Bouroudjian | 2 | 0 | 0.34 |
| Joe Weinman | 3 | 1 | 0.68 |