Professora Patricia Endo tem artigo aprovado no IEEE ISCC 2019 (Qualis A2)
A Professora Dra. Patricia Takako Endo, da UPE Caruaru, teve o artigo “Analyzing Resource Distribution over a Real-World Large-Scale Virtual Content Infrastructure” aceito no IEEE Symposium on Computers and Communications (ISCC) 2019, que acontecerá em Barcelona, Espanha.
O artigo é resultado do projeto RECAP e analisa, através de simulações, o impacto da alocação de caches em serviços de entrega de conteúdo, considerando o custo do operador e o consumo de recursos. Além da Dublin City University (DCU), universidade na qual a professora está realizando seu pós-doutorando, o artigo contou com a parceria do Centre for Research & Technology, Hellas (CERTH), British Telecom (BT) e Intel Irlanda.
Autores: Patricia Takako Endo, Radhika Loomba, Ruth Quinn, Christos K. Filelis-Papadopoulos, Konstantinos M.Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, Peter Willis, Sergej Svorobej, James Byrne and Theo Lynn .
Resumo: Communication service providers (CSPs) face competitive pressure to increase infrastructure utilization and reduce operational costs while at the same time maximize bandwidth and maintain quality of service for end users. Content Distribution Networks (CDNs) are widely used to achieve these goals by optimally distributing content to cache servers at the edge, access and core networks. More recently, virtualization and cloud computing are being used to deploy and utilize virtual Content Delivery Networks (vCDNs) to reduce costs and increase elasticity while avoiding performance, quality, reliability and availability limitations that characterize traditional CDNs. In order to study the effectiveness of virtual cache placements and optimal distribution over a real-world large-scale vCDN infrastructure, we model and simulate BT’s network using a novel parallel simulation framework. Results show that virtual cache placement impacts on the number of accepted requests, resource consumption (compute and network), and end-user network latency. We also present a trade-off analysis between infrastructure provider utility and service customer utility to quantify the number and distribution of these virtual cache placements and to determine the optimal number of virtual cache servers that should be deployed.
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