| Full text | |
| Author(s): |
Andreazi, Gabriel Tomiatti
[1]
;
Estrella, Julio Cezar
[1]
;
Bruschi, Sarita Mazzini
[1]
;
Immich, Roger
[2]
;
Guidoni, Daniel
[3]
;
Alves Pereira Junior, Lourenco
[4]
;
Meneguette, Rodolfo Ipolito
[1]
Total Authors: 7
|
| Affiliation: | [1] Univ Sao Paulo, Inst Math & Comp Sci, Comp Syst Div, BR-13560970 Sao Paulo, SP - Brazil
[2] Univ Fed Rio Grande do Norte, Comp Sci Div, BR-59078970 Natal, RN - Brazil
[3] Univ Fed Sao Joao del Rei, Comp Sci Div, BR-36301360 Sao Joao Del Rei, MG - Brazil
[4] Aeronaut Inst Technol ITA, Comp Sci Div, BR-12228900 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | SENSORS; v. 21, n. 20 OCT 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
The high demand for data processing in web applications has grown in recent years due to the increased computing infrastructure supply as a service in a cloud computing ecosystem. This ecosystem offers benefits such as broad network access, elasticity, and resource sharing, among others. However, properly exploiting these benefits requires optimized provisioning of computational resources in the target infrastructure. Several studies in the literature improve the quality of this management, which involves enhancing the scalability of the infrastructure, either through cost management policies or strategies aimed at resource scaling. However, few studies adequately explore performance evaluation mechanisms. In this context, we present the MoHRiPA-Management of Hybrid Resources in Private cloud Architecture. MoHRiPA has a modular design encompassing scheduling algorithms, virtualization tools, and monitoring tools. The proposed architecture solution allows assessing the overall system's performance by using complete factorial planning to identify the general behavior of architecture under high demand of requests. It also evaluates workload behavior, the number of virtualized resources, and provides an elastic resource manager. A composite metric is also proposed and adopted as a criterion for resource scaling. This work presents a performance evaluation by using formal techniques, which analyses the scheduling algorithms of architecture and the experiment bottlenecks analysis, average response time, and latency. In summary, the proposed MoHRiPA mapping resources algorithm (HashRefresh) showed significant improvement results than the analyzed competitor, decreasing about 7% percent in the uniform average compared to ListSheduling (LS).</p> (AU) | |
| FAPESP's process: | 20/07162-0 - Services for an intelligent transport system |
| Grantee: | Rodolfo Ipolito Meneguette |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | José Alberto Cuminato |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 11/09524-7 - Development and evaluation of new computer technics to enable the provision of quality of service in SOA architectures |
| Grantee: | Júlio Cézar Estrella |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 20/05126-6 - Algorithms and protocols for intelligent transportation systems |
| Grantee: | Daniel Ludovico Guidoni |
| Support Opportunities: | Regular Research Grants |