当前位置: X-MOL 学术J. Supercomput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
EAAM: Energy-aware application management strategy for FPGA-based IoT-Cloud environments
The Journal of Supercomputing ( IF 2.5 ) Pub Date : 2020-03-17 , DOI: 10.1007/s11227-020-03240-y
Atanu Majumder , Sangeet Saha , Amlan Chakrabarti

An efficient integration of Internet of Things (IoT) and cloud computing techniques accelerates the evolution of next-generation smart environments (e.g., smart homes, buildings, cities). The advanced modern cloud networking architecture also helps to efficiently host, manage and optimize the IoT services in smart environments. In this paper, we have considered an “IoT-Cloud” environment where servers are composed of Field Programmable Gate Arrays (FPGAs) which are reconfigurable in nature. The energy consumption is considered as a major driving factor for the operational cost of the “IoT-Cloud” platform. We have proposed an “energy-aware application management” strategy for FPGA-based IoT-Cloud environments, which can efficiently handle sensors’ data transmission by positioning them into the best possible coordinates and execute the Service Requests requested by the users. We have compared our strategy performances with an existing technique and the results show that our proposed strategy is capable to achieve high resource utilization with low energy consumption over different simulation scenarios.

中文翻译:

EAAM:基于 FPGA 的物联网云环境的能量感知应用管理策略

物联网 (IoT) 和云计算技术的有效集成加速了下一代智能环境(例如智能家居、建筑、城市)的发展。先进的现代云网络架构还有助于在智能环境中有效地托管、管理和优化物联网服务。在本文中,我们考虑了一种“物联网云”环境,其中服务器由可重新配置的现场可编程门阵列 (FPGA) 组成。能源消耗被认为是“IoT-Cloud”平台运营成本的主要驱动因素。我们为基于 FPGA 的物联网云环境提出了“能源感知应用管理”策略,它可以通过将传感器定位到最佳坐标并执行用户请求的服务请求来有效处理传感器的数据传输。我们将我们的策略性能与现有技术进行了比较,结果表明我们提出的策略能够在不同的模拟场景中以低能耗实现高资源利用率。
更新日期:2020-03-17
down
wechat
bug