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Mauro Femminella and Gianluca Reali
The need for adaptivity and scalability in telecommunication systems has led to the introduction of a software-based approach to networking, in which network functions are virtualized and implemented in software modules, based on network function virtual...
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Byoung Soo Kim, Sang Hyeop Lee, Ye Rim Lee, Yong Hyun Park and Jongpil Jeong
Manufacturers are expanding their business-process innovation and customized manufacturing to reduce their information technology costs and increase their operational efficiency. Large companies are building enterprise-wide hybrid cloud platforms to furt...
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Muhammad Idris, Iwan Syarif, Idris Winarno
Pág. 246 - 261
The trend of API-based systems in web applications in the last few years keeps steadily growing. API allows web applications to interact with external systems to enable business-to-business or system-to-system integration which leads to multiple applicat...
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Jin-young Choi, Minkyoung Cho and Jik-Soo Kim
Recently, ?Big Data? platform technologies have become crucial for distributed processing of diverse unstructured or semi-structured data as the amount of data generated increases rapidly. In order to effectively manage these Big Data, Cloud Computing ha...
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Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
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Jesús Fernando Cevallos Moreno, Rebecca Sattler, Raúl P. Caulier Cisterna, Lorenzo Ricciardi Celsi, Aminael Sánchez Rodríguez and Massimo Mecella
Video delivery is exploiting 5G networks to enable higher server consolidation and deployment flexibility. Performance optimization is also a key target in such network systems. We present a multi-objective optimization framework for service function cha...
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KeDi Li and Ning Gui
The life-long monitoring and analysis for complex industrial equipment demands a continuously evolvable machine-learning platform. The machine-learning model must be quickly regenerated and updated. This demands the careful orchestration of trainers for ...
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