| Texto completo | |
| Autor(es): |
Couto, Rodrigo S.
[1]
;
Sadok, Hugo
[2]
;
Cruz, Pedro
[2]
;
da Silva, Felipe F.
[2]
;
Sciammarella, Tatiana
[2]
;
Campista, Miguel Elias M.
[2]
;
Costa, Luis Henrique M. K.
[2]
;
Velloso, Pedro B.
[2]
;
Rubinstein, Marcelo G.
[1]
Número total de Autores: 9
|
| Afiliação do(s) autor(es): | [1] Univ Estado Rio de Janeiro, PEL DETEL, BR-20550013 Rio De Janeiro, RJ - Brazil
[2] Univ Fed Rio de Janeiro, COPPE PEE GTA, POLI DEL, POB 68504, BR-21941972 Rio De Janeiro, RJ - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF NETWORK AND COMPUTER APPLICATIONS; v. 117, p. 59-71, SEP 1 2018. |
| Citações Web of Science: | 0 |
| Resumo | |
The goal of a collaborative cloud is to promote resource sharing among different institutions using existing computational infrastructure. To accomplish that, we propose the PID (Platform for IaaS Distribution) cloud, where users from research institutions can benefit from IaaS services with minimum management and maintenance effort and with no subscription fees. The only requirement is to share at least one server capable of running virtual machines. To build PID, we rely on the OpenStack orchestrator as the basis of our implementation and, consequently, modifications are needed to accommodate the geo-distributed architecture. We present such modifications, which are concentrated on a different virtual machine scheduling, new hierarchical roles for users, and adapted web interfaces for management and control. Based on these modifications, we deploy a prototype in three universities in Rio de Janeiro. We experimentally evaluate PID regarding the latency between sites and the scalability according to the number of servers and virtual machines. Based on these experiments, we can estimate that an OpenStack cloud with a few hundred servers with tens of virtual machines each would add, on average, a few Mb/s of control traffic toward the Controller. We then conclude that the amount of control traffic generated by OpenStack services is not enough to surpass network capacities of our academic sites. Our results also show that the additional latency expected in a geo-distributed cloud has little or no impact on the OpenStack network component, called Neutron. (AU) | |
| Processo FAPESP: | 15/24490-2 - MC2: computação móvel, distribuição de conteúdo e computação em nuvem |
| Beneficiário: | Luis Henrique Maciel Kosmalski Costa |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais |
| Beneficiário: | Nelson Luis Saldanha da Fonseca |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |