Networks and Systems Research GroupComputer Engineering Department, Bilkent University
This shows you the differences between two versions of the page.
|
cloud-tubitak [2013/08/02 22:35] korpe |
cloud-tubitak [2013/09/11 11:59] (current) korpe [Efficient Resource Allocation in Heterogeneous Cloud Infrastructures] |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ===== Efficient Resource Allocation in Heterogeneous Cloud Infrastructures ===== | + | {{ :tubi_logo1.gif?100|}} |
| - | {{ :tubi_logo1.gif?100|}} | + | ===== Efficient Resource Allocation in Heterogeneous Cloud Infrastructures ===== |
| + | |||
| + | * Project No: TUBITAK-113E274 | ||
| + | * Project Title: Efficient Resource Allocation in Heterogeneous Cloud Infrastructures | ||
| + | * Turkish Title: Türdeş Olmayan Bulut Altyapılarında Verimli Kaynak Ayrımı | ||
| * Sponsor: TUBITAK (The Scientific and Technological Research Council of Turkey) | * Sponsor: TUBITAK (The Scientific and Technological Research Council of Turkey) | ||
| - | * Project No: 113E274 | ||
| * Program: TUBITAK 1001 Project, Group EEEAG | * Program: TUBITAK 1001 Project, Group EEEAG | ||
| - | * Turkish Title: Türdeş Olmayan Bulut Altyapılarında Verimli Kaynak Ayrımı | ||
| * Start date: September 1, 2013 | * Start date: September 1, 2013 | ||
| * Duration: 24 Months | * Duration: 24 Months | ||
| * Principal Investigator: Ibrahim Korpeoglu | * Principal Investigator: Ibrahim Korpeoglu | ||
| + | |||
| + | The project aims to investigate the resource allocation problem in cloud infrastructures and distributed data centers. The pysical network structure of datacenters and virtual network topology of could applications will be considered while assigning virtual machines to physical nodes. Efficient allocations of virtual machines to physical machines requires considering various parameters of machines alltogether. The traffic demand and current traffic load, besides CPU, memory and storage, are also important to consider in doing allocations. We will also consider the dynamic changes in resource usage and utilization, and develop algorithms that adapt the assignments without harming the performance applications are geting. | ||