| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
In IoT(Internet of Things), the number of network devices are rapidly increasing for dealing with a huge amount of traffic, so that Traffic Engineering (TE) has still been the important issue, 1) to satisfy the QoS(Quality of Service) of each traffic, and 2) to utilize some network equipments efficiently, or 2) to shut down some equipments of relatively low utilized for energy saving.
In this study, we firstly proposed the "totally controlling" TE for load balancing and congestion avoidance when network traffic gets high whereas for network greening with low traffic with considering both the spatial dynamics of source nodes and the temporal dynamics the amount of traffic in networks, and investigated the method for realizing the concept of spatial TE by using Multi-Path TCP(MPTCP) and for achieving energy saving of low utilized routers/APs without transmission performance degradation by temporally tune some parameters on TCP.
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