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トップページ ＞ 在学生の現状 ＞ 学生の受賞 ＞ Prabhavat Sumet
Prabhavat Sumetさん
（応用情報科学専攻 博士課程後期３年の課程）が
IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC 2009)にて
Best Paper Awardを受賞しました
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■受賞の対象になった業績
Sumet Prabhavat, Hiroki Nishiyama, Nirwan Ansari, and Nei Kato,
"On the Performance Analysis of Traffic Splitting on Load Imbalancing and Packet Reordering of Bursty Traffic",
IEEE IC-NIDC 2009, Beijing, China, Nov. 2009.
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■概要
Owing to the heterogeneity and high degree of
connectivity of various networks, there likely exist
multiple available paths between a source and a
destination. To be able to simultaneously and
efficiently use such parallel paths, it is essential to
facilitate high quality network services at high
speeds. So, traffic splitting, having a significant
impact on quality of services (QoS), is an important
means to achieve load balancing. In general, most
existing models can be classified into flow-based or
packet-based models. Unfortunately, both classes
exhibit some drawbacks, such as low efficiency
under the high variance of flow size in flow-based
models and the phenomenon of packet reordering in
packet-based models. In contrast, Table-based
Hashing with Reassignment (THR) and Flowlet
Aware Routing Engine (FLARE), both belonging to
the class of flow-based models, attempt to achieve
both efficient bandwidth utilization and packet
order preservation. An original flow can be split
into several paths. As compared to the traditional
flow-based models, load balancing deviation from
ideal distribution decreases while the risk of packet
reordering increases. In this paper, we introduce
analytical models of THR and FLARE, and derive
the probabilities of traffic splitting and packet
reordering for each model. Our analysis shows that
FLARE is superior to THR in packet order
preservation. Also, the performance of FLARE on
bursty traffic is demonstrated and discussed.
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