مشاهده مشخصات مقاله
A Time-Predictable Fog-Integrated Cloud Framework: One Step Forward in the Deployment of a Smart Factory
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نویسنده (ها) |
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Hamid Reza Faragardi
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Saeid Dehnavi
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Alessandro V. Papadopoulos
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Thomas Nolte
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مربوط به کنفرانس |
سمپوزیوم بینالمللی سیستمها و فنآوریهای بیدرنگ و نهفته RTEST 2018 |
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چکیده |
This paper concentrates on cloud computing as one of the principal building blocks of a smart factory to provide a huge data storage space and a highly scalable computational capacity. The cloud computing system used in a smart factory should be a time-predictable computing framework to be able to satisfy hard-real requirements of various applications existing in manufacturing systems. Interleaving an intermediate computing layer –called Fog– between a factory and a cloud data center is a promising solution for such a system to deal with the latency requirements of hard real-time applications. In this paper, a time-predictable cloud framework is proposed which is able to satisfy end-to-end latency requirements in a smart factory. To propose such an industrial cloud framework, we not only use the existing real-time technologies such as Industrial Ethernet and Real-time XEN hypervisor, but we also discuss unaddressed challenges. Among the unaddressed challenges, the partitioning of a given workload between a fog platform and a cloud data center is targeted. Addressing the partitioning problem not only provides a resource provisioning mechanism, but also gives us a prominent design decision to know how much computing resource is required to develop a Fog platform, and how large should be the minimum communication bandwidth between a fog and a cloud data center. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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