Research Repository

Energy-Aware Real-time Tasks Processing for FPGA Based Heterogeneous Cloud

Majumder, Atanu and Saha, Sangeet and Chakrabarti, Amlan and McDonald-Maier, Klaus (2021) 'Energy-Aware Real-time Tasks Processing for FPGA Based Heterogeneous Cloud.' IEEE Transactions on Sustainable Computing. ISSN 2377-3782

09437615.pdf - Published Version
Available under License Creative Commons Attribution.

Download (793kB) | Preview


Cloud computing is becoming an popular model of computing. Due to the increasing complexity of the cloud service requests, it often exploits heterogeneous architecture. Moreover, some service requests (SRs)/tasks exhibit real-time features, which are required to be handled within a specified duration. Along with the stipulated temporal management, the strategy should also be energy efficient, as energy consumption in cloud computing is challenging. In this paper, we have proposed a strategy, called ``Efficient Resource Allocation of Service Request" (ERASER) for energy efficient allocation and scheduling of periodic real-time SRs on cloud platform. Our target cloud platform is consist of Field Programmable Gate Arrays (FPGAs) as Processing Elements (PEs) along with the General Purpose Processors (GPP). We have further proposed, a SR migration technique to service maximum SRs. Simulation based experimental results demonstrate that the proposed methodology is capable to achieve upto 90% resource utilization with only 26% SR rejection rate over different experimental scenarios. Comparison results with other state-of-the-art techniques reveal that the proposed strategy outperforms the existing technique with 17% reduction in SR rejection rate and 21% less energy consumption. Further, the simulation outcomes have been validated on a real test-bed based on Xilinx Zynq SoC with benchmark tasks.

Item Type: Article
Uncontrolled Keywords: Field Programmable Gate Arrays (FPGAs), service request, real-time scheduling, resource management, energy, heterogeneous cloud
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 24 May 2021 08:47
Last Modified: 24 May 2021 08:47

Actions (login required)

View Item View Item