Name
Abstract | ||
|---|---|---|
In this paper, we propose an analytical performance model that addresses the complexity of cloud centers through distinct stochastic submodels, the results of which are integrated to obtain the overall solution. Our model incorporates the important aspects of cloud centers such as pool management, compound requests (i.e., a set of requests submitted by one user simultaneously), resource virtualization and realistic servicing steps. In this manner, we obtain not only a detailed assessment of cloud center performance, but also clear insights into equilibrium arrangement and capacity planning that allows servicing delays, task rejection probability, and power consumption to be kept under control. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TPDS.2012.182 | Parallel and Distributed Systems, IEEE Transactions |
Keywords | Field | DocType |
capacity planning (manufacturing),cloud computing,probability,stochastic processes,virtualisation,analytical performance model,capacity planning,cloud computing centers,equilibrium arrangement,pool management scheme,power consumption,realistic servicing,resource virtualization,servicing delays,stochastic submodels,task rejection probability,Cloud computing,blocking probability,interacting Markov models,performance analysis,pool management schema,power consumption,response time | Virtualization,Resource virtualization,Computer science,Response time,Computer network,Stochastic process,Real-time computing,Capacity planning,Performance model,Power consumption,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
24 | 5 | 1045-9219 |
Citations | PageRank | References |
33 | 1.20 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamzeh Khazaei | 1 | 223 | 17.82 |
| Mišić, J. | 2 | 33 | 1.20 |
| Mišić, V.B. | 3 | 34 | 1.89 |
| Saeed Rashwand | 4 | 183 | 11.99 |