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

Atanu Majumder, Sangeet Saha, Amlan Chakrabarti, Klaus Mcdonald-Maier

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number9437615
Number of pages13
JournalIEEE Transactions on Sustainable Computing
Early online date21 May 2021
DOIs
Publication statusE-pub ahead of print - 21 May 2021
Externally publishedYes

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