BSFS: A Bidirectional Search Algorithm for Flow Scheduling in Cloud Data Centers

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 382

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شناسه ملی سند علمی:

JR_JIST-7-3_007

تاریخ نمایه سازی: 23 دی 1399

چکیده مقاله:

To support high bisection bandwidth for communication intensive applications in the cloud computing environment, data center networks usually offer a wide variety of paths. However, optimal utilization of this facility has always been a critical challenge in a data center design. Flow-based mechanisms usually suffer from collision between elephant flows; while, packet-based mechanisms encounter packet re-ordering phenomenon. Both of these challenges lead to severe performance degradation in a data center network. To address these problems, in this paper, we propose an efficient mechanism for the flow scheduling problem in cloud data center networks. The proposed mechanism, on one hand, makes decisions per flow, thus preventing the necessity for rearrangement of packets. On the other hand, thanks do SDN technology and utilizing bidirectional search algorithm, our proposed method is able to distribute elephant flows across the entire network smoothly and with a high speed. Simulation results confirm the outperformance of our proposed method with the comparison of state-of-the-art algorithms under different traffic patterns. In particular, compared to the second-best result, the proposed mechanism provides about ۲۰% higher throughput for random traffic pattern. In addition, with regard to flow completion time, the percentage of improvement is ۱۲% for random traffic pattern.

نویسندگان

Hasibeh Naseri

Department of Computer Engineering and IT, University of Kurdistan, Sanandaj, Iran

Sadoon Azizi

Department of Computer Engineering and IT, University of Kurdistan, Sanandaj, Iran

Alireza Abdollahpouri

Department of Computer Engineering and IT, University of Kurdistan, Sanandaj, Iran