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International Journal of Information and Communication Technology Research (IJICT، جلد ۱۵، شماره ۴، صفحات ۰-۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Resource Allocation optimization in fog architecture based Software-Defined networks
چکیده انگلیسی مقاله As a growing of IoT devices, and need to do real-time or near real-time data processing ,new computing paradigms such as fog computing are emerging alongside cloud computing. Fog computing is more suitable for real-time processing due to the proximity of resources to IoT layer devices. On the other hand, to satisfied growing service demanding needs, service providers must dynamically update the hardware and software parameters of the network infrastructure. In recent years, software defined network (SDN) proposed as a new network paradigm, whose separate control layer from data layer and provides flexible network management. This paper presents a software-defined fog platform to host real-time applications in IoT. Then, we propose a novel resource allocation method over the fog-based IoT. The proposed resource allocation method involves scheduling multi-node real-time task graphs over the fog servers to minimize task execution latency. The main concern of the proposed resource allocation method is to maintain task execution latency as low as possible to meet the timing requirement of the submitted real-time task. The proposed method is designed to benefit the centralized structure of SDN. The simulation results show that the proposed method can find near to optimal solutions in a very lower execution time than the brute force method.  
کلیدواژه‌های انگلیسی مقاله Software-defined network, fog computing, Multi-nodes weighted directed task graph, Task assigning, task offloading
نویسندگان مقاله | sepideh sheikhi nejad


| Ahmad Khadem Zadeh


| Amir Masoud Rahmani


| Ali Broumandnia


| Amin Ghalami Osgouei


نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-4431-1&slc_lang=en&sid=1
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده پژوهشی
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