| Project/Area Number |
14J07114
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
|---|
| Research Field |
Information network
|
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| Research Institution | The University of Aizu |
|---|
Principal Investigator |
陳 武輝 会津大学, コンピュータ理工学研究科, 特別研究員(PD)
|
|---|
| Project Period (FY) |
2014-04-25 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥2,170,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,000,000 (Direct Cost: ¥1,000,000)
|
|---|
| Keywords | quality of service / service composition / stream big data / data placement / VM placement / data center / mapreduce / big data processing / Situation awareness / Mapreduce / big data infrastructure |
|---|
| Outline of Annual Research Achievements |
First, I have developed a data-placement technique for data-center resizing that considers both the static and dynamic characteristics of data centers. The objective is to find an optimal data placement to ameliorate the performance degradation when turning off idle nodes, and to improve the performance of big-data processing when turning on more working nodes by optimizing global data transfer cost.
Second,I have developed a data-placement algorithm for big-data processing that considers network traffic reduction as well as QoS guarantees for the data blocks. Our objective is to optimize data placement so as to minimize data transfers and guarantee the QoS requirements to improve the performance of big-data processing such that the overall computation, communication cost, and isolated data blocks are minimized.
Third, I have developed streaming workflow allocation algorithms to help cloud infrastructure better support the real-time data analysis with minimal cost by: 1) optimizing the specification of streaming workflow; 2) using MCMF algorithm to assign streaming workflow into geo-distributed data centers with star network topology; 3) using LP algorithm with two computational space reduction methods to assign streaming workflow into geo-distributed data centers with general network topology.
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| Research Progress Status |
27年度が最終年度であるため、記入しない。
|
| Strategy for Future Research Activity |
27年度が最終年度であるため、記入しない。
|
Report
(2 results)
Research Products
(8 results)
