41 research outputs found
OSEK OS Kernel Mechanisms for Reducing Dynamic Memory Usage
Authors' final versionWhile the ever-increasing complexity of automotive software systems can be effectively managed through the adoption of a reliable real-time operating system (RTOS), it may incur additional resource usage to a resultant system. Due to the mass production nature of the automotive industry, reducing physical resources used by automotive software is of the utmost importance for cost reduction. OSEK OS is an automotive real-time kernel standard specifically defined to address this issue. Thus, it is very important to develop and exploit kernel mechanisms such that they can achieve minimal resource usage in the OSEK OS implementation. In this paper, we analyze the task subsystem, resource subsystem, application mode and conformance classes of OSEK OS as well as the OSEK Implementation Language (OIL). Based on our analysis, we in turn devise and implement kernel mechanisms to minimize the dynamic memory usage of the OSEK OS implementation. Finally, we show that our mechanisms effectively reduce the memory usage of OSEK OS and applications.OAIID:oai:osos.snu.ac.kr:snu2009-01/102/0000004193/8SEQ:8PERF_CD:SNU2009-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:YEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:08_ksae_osek.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
[์ด์๋ถ์] ๋ํ ๊ด์ ์์์ ์ผยทํ์ต๋ณํ์ ์ ํ์๊ณผ ์ ์ฐฉยท๋ฐ์ ์ ์ํ ์ ์ธ
โ
. ์๋ก
โ
ก. ํ์์ฐ๊ณํ ์ผยทํ์ต๋ณํ์ ์ฌ์
์ ํ์ ๋ฐ ๊ฐ์ ์
1. ์ผยทํ์ต๋ณํ์ ์ฐธ์ฌ ๊ธฐ์
์ ์ ๊ธฐ์ค
2. ํ๋ จ ํ๋ก๊ทธ๋จ ๋ชจ๋ ๊ฐ๋ฐ ์ ๊ณ ๋ ค ์ฌํญ
3. ์ผยทํ์ต๋ณํ์ ์ ํน์ฑํ๊ณ ํ์ฌ์ ๋์์ ์ฐ๊ด ๊ด๊ณ
4. ํ์ฅ์ง๋๊ต์์ ์๊ฒฉ ์๊ฑด
โ
ข. ํฅํ ๊ณผ์ ๋ฐ ๊ฒฐ
Per-Client Network Performance Isolation in VDE-based Cloud Computing Servers
Authors' final versionIn a cloud server where multiple virtual machines owned by different clients are cohosted,
excessive traffic generated by a small group of clients may well jeopardize the
quality of service of other clients. It is thus very important to provide per-client network
performance isolation in a cloud computing environment. Unfortunately, the existing
techniques are not effective enough for a huge cloud computing system since it is difficult to
adopt them in a large scale and they often require non-trivial modification to the established
network protocols. To overcome such difficulties, we propose per-client network
performance isolation using VDE (Virtual Distributed Ethernet) as a base framework. Our
approach begins with per-client weight specification and support client-aware fair share
scheduling and packet dispatching for both incoming and outgoing traffic. It also provides
hierarchical fairness between a client and its virtual machines. Our approach supports full
virtualization of a guest OS, wide scale adoption, limited modification to the existing system,
low run-time overhead and work-conserving servicing. Our experimental results show the
effectiveness of the proposed approach. Every client received at least 99.4% of its bandwidth
share as specified by its weight.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/4SEQ:4PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:NEMP_ID:A005174DEPT_CD:4541CITE_RATE:.175FILENAME:11-12-23 JISE-VDE.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:YCONFIRM:
Per-Client Network Performance Isolation in VDE-basedPer-Client Network Performance Isolation in VDE-based Cloud Data Centers: FS-VDE
Authors' final versionํด๋ผ์ฐ๋ ๋ฐ์ดํฐ ์ผํฐ๋ ๊ณ์ธต์ ๋คํธ์ํฌ๋ก ์ฐ๊ฒฐ๋ ์์ฒ ๋์ ์๋ฒ๋ก ๊ตฌ์ฑ๋๊ณ ๊ฐ ์๋ฒ๋ ์๋ก ๋ค๋ฅธ
ํด๋ผ์ด์ธํธ์๊ฒ ์ํ๋ ๋ณต์์ ๊ฐ์ ๋จธ์ ์ ์ํํ๋ค. ์ด๋ค์ ์๋ฒ์ ๋คํธ์ํฌ ๋งํฌ๋ฅผ ๊ณต์ ํ๊ธฐ ๋๋ฌธ์ ์๋น์ค ํ์ง
๋ณด์ฅ์ ์ํด์๋ ํด๋ผ์ด์ธํธ ๋จ์๋ก ๋คํธ์ํฌ ์ฑ๋ฅ์ ๊ณ ๋ฆฝ์ํค๋ ๊ฒ์ด ๋งค์ฐ ์ค์ํ๋ค. ๊ทธ๋ฐ๋ฐ ๊ธฐ์กด์ ๋คํธ์ํฌ ์ฑ๋ฅ
๊ณ ๋ฆฝํ ๊ธฐ์ ์ ํด๋ผ์ด์ธํธ๋ผ๋ ๊ฐ๋
์์ด TCP ํ๋ฆ ๋จ์์ ๊ณ ๋ฆฝ๋ง์ ์ง์ํ๊ธฐ ๋๋ฌธ์ ํด๋ผ์ฐ๋ ๋ฐ์ดํฐ ์ผํฐ์
ํจ๊ณผ์ ์ด์ง ๋ชปํ๋ค. ๋ฟ๋ง ์๋๋ผ ๊ธฐ์กด ๋คํธ์ํฌ ์ค๋น์ ๊ฒ์คํธ OS์ ์์ ์ ์๊ตฌํ์ฌ ๋๊ท๋ชจ ๋์
์ ์ด๋ ค์์ด ์๋ค. ์ด
๋
ผ๋ฌธ์์๋ ์ด ๊ฐ์ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ฐ ํด๋ผ์ด์ธํธ์๊ฒ ๊ฐ์ค์น๋ฅผ ๋ถ์ฌํ๊ณ ์ด์ ๋น๋กํ์ฌ ๋คํธ์ํฌ ๋์ญํญ์
ํ ๋นํด ์ฃผ๋ FS-VDE๋ฅผ ์ ์ํ๋ค. ์ ์๋ ๊ธฐ๋ฒ์ ์ก์ ํธ๋ํฝ์ ๋ํด ์์ดํ ๋ฉ์ปค๋์ฆ์ ์ํํ๊ณ ์์ ํธ๋ํฝ์ ๋ํด
ํด๋ฆฌ์ฑ ๋ฉ์ปค๋์ฆ์ ์ฌ์ฉํ๋ค. ์ด ๊ธฐ๋ฒ์ ๊ธฐ์กด ์์คํ
์ ์ต์ํ์ ๋ณ๊ฒฝ๋ง์ ์๊ตฌํ๋ฏ๋ก ๋๊ท๋ชจ ๋์
์ ํจ๊ณผ์ ์ด๋ค.
์ฐ๋ฆฌ๋ FS-VDE๋ฅผ Linux ์์ ๊ตฌํํ๊ณ ์คํ์ ํตํด ์ฑ๋ฅ์ ์ธก์ ํ์๋ค. ์คํ ๊ฒฐ๊ณผ ๊ฐ ํด๋ผ์ด์ธํธ๋ ๊ฐ์ค์น๋ก๋ถํฐ
๋์ถ๋ ์ก์ ๋ฐ ์์ ๋์ญํญ์ ๋นํด ๊ฐ๊ฐ 99.4%, 96.5% ์ด์์ ๋ณด์ฅ ๋ฐ์์ผ๋ฉฐ ์ด๋ ๋จ 5%์ ์ฑ๋ฅ ์ ํ๋ก ๋ฌ์ฑ๋ ์
์์๋ค.A cloud data center consists of thousands of servers connected by a hierarchical network. Each server runs multiple
virtual machines owned by different clients. Since several virtual machines share network links, it is important to provide for
per-client network performance isolation for quality of service guarantees. Unfortunately, existing network performance isolation
techniques provide only per-flow isolation without the notion of clients and thus are not effective for a cloud data center. Moreover,
these techniques lack scalability as they require non-trivial modification to legacy network equipment and the protocol stack of a
guest OS. In this paper, we propose FS-VDE, a mechanism that assigns each client a weight and allocates it network bandwidth
proportional to the weight. To do so, our approach performs outgoing traffic shaping and incoming traffic policing. FS-VDE can be
widely adopted since it only requires limited modification to the host OS. We have implemented the proposed mechanism in Linux
and measured the throughput of clients. Experimental results show that each client receives 99.4% and 96.5% of desired outgoing
and incoming bandwidth, as specified by its weight, respectively. This result was achieved with only 5% of performance overhead.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/3SEQ:3PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:NEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:12-03-12 ์ ๋ณด๊ณผํํ ๋
ผ๋ฌธ์ง - FS-VDE.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
Virtual Runtime based Load Balancing Algorithm for Guaranteeing Fairness on Multicore Systems
Authors' final version๋ฆฌ๋
์ค์ ๊ธฐ๋ณธ ์ค์ผ์ค๋ฌ์ธ CFS๋ ํด๋ผ์ฐ๋ ์๋ฒ์ ๊ฐ์ ๋๊ท๋ชจ ์์คํ
์์ ๋๋ฆฌ ์ฌ์ฉ๋๊ณ ์์ง๋ง, ์ด๋ ์์คํ
์ ๊ท๋ชจ๊ฐ ๊ทน๋๋ก ์ปค์ง์ ๋ฐ๋ผ ์์คํ
์ด ์๊ตฌํ๋ ์์ค์ ๊ณต์ ์ฑ์ ๋ณด์ฅํ์ง ๋ชปํ๋ค. ์ด ๋
ผ๋ฌธ์ CFS์ ๋ํ ์ฌ๋ ๊น์ ๋ถ์์ ํตํด ๊ณต์ ์ฑ ๋ณด์ฅ์ ์คํจ์ ์์ธ์ ๊ท๋ช
ํ๊ณ , ์ด๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํ virtual runtime ๊ธฐ๋ฐ์ ๋ก๋ ๋ฐธ๋ฐ์ฑ ์๊ณ ๋ฆฌ์ฆ์ ์ ์ํ๋ค. ์ด๋ ํ์คํฌ๋ค์ virtual runtime ์ฐจ์ด๋ฅผ ๋ฐ์ด๋์ํค๊ธฐ ์ํด ์ฃผ๊ธฐ์ ์ผ๋ก ํ์คํฌ ์ด์ฃผ๋ฅผ ์ํํ๋ค. ์ด๋ฅผ ์ํด ์๊ณ ๋ฆฌ์ฆ์ ์ธ์ ํ ๋ CPU์ load ์ฐจ์ด๊ฐ ์ต๋ ๊ฐ์ค์น ์ฐจ์ด ์ดํ๊ฐ ๋๋๋ก ๋ฐ์ด๋ ํ๊ณ , virtual runtime์ด ํฐ ํ์คํฌ๋ค์ load๊ฐ ํฐ CPU์์ ์ํ๋๊ฒ ๋ณด์ฅํ๋ค. ์ฐ๋ฆฌ๋ ์ ์๋ ์๊ณ ๋ฆฌ์ฆ์ ๋ฆฌ๋
์ค ์ปค๋ 2.6.38.8 ์์ ๊ตฌํํ๊ณ ์ผ๋ จ์ ์คํ์ ์ํํ์๋ค. ๊ทธ ๊ฒฐ๊ณผ ๊ธฐ์กด CFS์ ๊ฒฝ์ฐ virtual runtime ์ฐจ์ด๋ ์ ํ์ ์ผ๋ก ์ฆ๊ฐํ๋๋ฐ ๋ฐํด ์ ์๋ ๊ธฐ๋ฒ์ 50.53 ๋จ์ ์๊ฐ์ผ๋ก virtual runtime ์ฐจ์ด๋ฅผ ๋ฐ์ด๋์ํฌ ์ ์์ผ๋ฉฐ ๊ณ ์ 0.14%์ ๋ฐํ์ ์ค๋ฒํค๋๋ฅผ ์ผ๊ธฐ์ํด์ ๋ณด์๋ค.While the primary task scheduler of Linux, CFS, is widely adopted for the large-scale cloud system, it cannot provide a desired level of fairness when a system scales up to an extreme degree. This paper formally analyzes the behavior of CFS to precisely characterize the reason why it fails to achieve the fairness in multicore systems. Based on the analysis, we present a virtual runtime-based load balancing algorithm which directly bounds the maximum virtual runtime difference among tasks by periodically migrating tasks. In doing so, it bounds the load difference between two adjacent cores by the largest weight in the task set and makes the core with larger virtual runtimes receive a larger load and thus runs more slowly. We have implemented the algorithm into Linux kernel 2.6.38.8. Experimental results show that the maximal virtual runtime difference is 50.53 time units while incurring only 0.14% of run-time overhead comparing to CFS.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/2SEQ:2PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:YEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:(2011์ถ๊ณ ์ฐ์๋ฐํ๋
ผ๋ฌธ) 11-12-12 ์ ๋ณด๊ณผํํ ๋
ผ๋ฌธ์ง CPL-ํ์น์ฃผ - ์ต์ข
๋ณธ.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
A Design and Implementation of SSD Software Platform Simulator for In-Storage Processing
Authors' final versionIn-storage processing(ISP)๋ ์ ์ฅ ์ฅ์น์ฉ I/O ์ธํฐํ์ด์ค์ ๋ณ๋ชฉํ์์ผ๋ก ์ธํ ์ ์ฒด ์์คํ
์ฑ๋ฅ ์ ํ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ๊ณ ์๋ ๊ธฐ๋ฒ์ด๋ค. ํนํ ์ต๊ทผ์ ํ๋์ ๋ฉ๋ชจ๋ฆฌ ๊ธฐ๋ฐ ์ ์ฅ ์ฅ์น๋ค์ ๋ด๋ถ ๋ฐ์ดํฐ ์ ์ก ์๋๊ฐ I/O ์ธํฐํ์ด์ค์ ๋ฐ์ ์ ๋นํด ๋งค์ฐ ๋น ๋ฅด๊ฒ ์ฆ๊ฐํ๊ธฐ ๋๋ฌธ์ ISP์ ํ์๊ฐ ๋์ฑ ์ฆ๋๋๊ณ ์๋ค. ๊ทธ๋ฌ๋ ๊ธฐ์กด ์ฐ๊ตฌ๋ค์ ํน์ ์์คํ
์ด๋ ์์ฉ์ ์ ํ๋์ด ์์ด์ SSD์ ์ ์ฉ ๋ฐ ๋ฒ์ฉ์ ์์ฉ ๊ฐ๋ฐ์ด ์ด๋ ต๋ค. ์ฐ๋ฆฌ๋ ์ด๋ฐ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ธฐ ์ํด ISP๋ฅผ ์ํ SSD ์ํํธ์จ์ด ํ๋ซํผ์ ์ ์ํ๋ค. ์ ์๋ ํ๋ซํผ์ ISP ์์ฉ์ ๋์ ๊ด๋ฆฌ๋ฟ๋ง ์๋๋ผ ์ด๋ฒคํธ ์๋น์ค๋ฅผ ํตํ ๋์ ๊ธฐ๋ฅ ํ์ฅ์ด ๊ฐ๋ฅํ๋ค. ์ฐ๋ฆฌ๋ ๋จผ์ ํ๋ก๊ทธ๋๋ฐ ๋ชจ๋ธ์ ์ ์ํ๊ณ ๋ค์์ผ๋ก ์ด๋ฅผ ์ง์ํ๋ SSD ์ํํธ์จ์ด ํ๋ซํผ์ ๊ณ ์ํ๋ค. ๋ง์ง๋ง์ผ๋ก ์ ์ํ๋ ํ๋ซํผ์ ๊ฒ์ฆํ๊ธฐ ์ํ ์๋ฎฌ๋ ์ดํฐ๋ฅผ ๊ตฌํํ๊ณ ์คํ์ ํตํด ์ฑ๋ฅ ๋ฐ ๊ธฐ๋ฅ ํ์ฅ์ ํ์ธํ๋ค. ์คํ ๊ฒฐ๊ณผ ISP๋ฅผ ์ฌ์ฉํ๋ ์์ฉ์ ์๋ต ์๋๊ฐ 52.7% ๊ฐ์ํ์์ผ๋ฉฐ SSD์ ๋์ ์ผ๋ก ์๋ก์ด ๊ธฐ๋ฅ์ ์ถ๊ฐํ๋ ๊ฒ์ด ๊ฐ๋ฅํจ์ ํ์ธํ์๋ค.In-storage processing (ISP) was developed to
solve the performance degradation problem of I/O interface.
Recently, the problem is getting worse because the speed of
internal data bus of SSD has been improved much more than that
of I/O interfaces. However, it is hard to use the existing ISP
mechanisms for SSD because they aimed on specific systems or
applications. In this paper, we propose SSD software platform to
solve this problem. By using the proposed platform, user can
dynamically install and remove various ISP applications and
extend functionality through event service. We first propose a
programming model and then design a SSD software platform.
Finally, we implement a platform simulator and perform
experiments to verify its performance enhancement and
functional extensibility. The results show that the average
response time of applications with ISP are decreased by 52.7%
compared to that of without ISP. Also, user can dynamically
attach a new functionality to SSD.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/7SEQ:7PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:YEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:In-Storage Processing์ ์ํ SSD ์ํํธ์จ์ด ํ๋ซํผ ์๋ฎฌ๋ ์ดํฐ ์ค๊ณ ๋ฐ ๊ตฌํ_0.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
DVFS์ ๊ธฐ๋ฐํ ์๋๋ก์ด๋ ์ค๋งํธํฐ์ CPU ์๋ชจ ์ ๋ ฅ ์ ๊ฐ ๊ธฐ๋ฒ์ ํ๊ณ
Authors' final manuscriptOAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/6SEQ:6PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:NEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:12_์ ๋ณด๊ณผํํ์ง_์ ์ ๋ ฅ.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
Lectin binding patterns in nasal mucosa of growing guinea pig
์ํ๊ณผ/์์ฌ[ํ๊ธ]
์์์ ์ผ๋ก ์์์ ์ฑ์ธ์ ์์ด์ ์ด๋น์ธํ๊ณผ ์์ญ์์ ๊ฐ์ฅ ํํ ์งํ ์ค์ ํ๋์ธ ๋น์ผ๊ณผ ๋ถ๋น๋ฑ์ผ์ ์ ๋ณ์จ์ด๋ ์์์์์ด ๋ค๋ฅธ๋ฐ ํ์ฌ๊น์ง๋ ํด๋ถํ์ ์ผ๋ก ์์์ ์์ด ์์
๋ฑ ์์ฐ๊ตฌ๊ฐ ๋น๊ต์ ํฌ๊ธฐ ๋๋ฌธ์ด๋ผ๋ ์ค๋ช
์ด ์์ผ๋ ์ฑ์ฅ์ ๋ฐ๋ฅธ ์์์ ๋น์ ๋ง ๊ธฐ๋ฅ์
๋ํ ์ฐ๊ตฌ๋ ์์ง ๋ฏธํกํ ์ค์ ์ด๋ค. ์ฑ์ฅ์ ๋ฐ๋ผ ๋น์ ๋ง ๋น๋จ๋ฐฑ์ง์ ๋ถํฌ ๋ฐ ๋ฐํ์๊ธฐ๊ฐ ๋ค๋ฅด๋ค๋ฉด, ์์์ฐ๋ น์ธต์์ ๋น๊ณผ์ ๊ฐ์ผ์ด ์ ๋๋ ์์ธ์ ์ดํดํ๋๋ฐ ๋์์ด ๋ ๊ฒ์ผ๋ก ์๊ฐ๋์๋ค.
์ด์ ์ฐ๊ตฌ์๋ guinea pig์ ๋น์ ๋ง์ ๋ถํฌํ๋ ๋น๋จ๋ฐฑ์ง์ ๋ณํ๋ฅผ lectin์กฐ์งํํ๋ฒ์ ์ด์ฉํ์ฌ, ์ถ์ํ ์ฐ๋ น ๋ฐ ๋ถ์๋ณ๋ก ๊ด์ฐฐํ์ฌ ๋ค์๊ณผ ๊ฐ์ ๊ฒฝ๊ณผ๋ฅผ ์ป์๋ค.
1) Con-A, RCA-I ๋ฐ์์ ์ํ 1์ผ๋ถํฐ, DBA ๋ฐ์์ ์ํ 7์ผ๋ถํฐ ๋ชจ๋ ํธํก ์ ๋ง์์ ๊ด์ฐฐ๋์๋ค.
2) UEA-I, WGA ๋ฐ SBA๋ ์ํ 1์ผ์๋ ๋น๊ฐ์ , ๋น์ค๊ฒฉํ๋ถ ๋ฐ ์์
๊ณจ๊ฐ๊ฐ ์ ๋ง ์ํผ์์๋ง ๋ฐ์์ ๋ณด์์ผ๋ UEA-I๊ณผ WGA๋ ์ํ 3์ผ๋ถํฐ, SBA๋ ์ํ 7์ผ๋ถํฐ ๋ชจ๋ ํธํก์ ๋ง์์ ๊ด์ฐฐ๋์๋ค.
3) ํ๊ฐ์ ๋ง์ ์๋ ์ํ 1์ผ๋ถํฐ PNA, WGA, Con-A์ ๋ฐ์์ ๊ด์ฐฐํ ์ ์์์ผ๋ ์ํ ์ฑ์ฅ์ ๋ฐ๋ฅธ ๋ณํ๋ ์์๋ค.
์ด์์ ๊ฒฐ๊ณผ๋ก ๋ณด์, ๋น๋จ๋ฐฑ์ง์ ๋น์ ๋ง๋ด ๋ฐํ์๊ธฐ์ ๋ถ์๋ณ ๋ถํฌ์ ์ฐจ์ด๊ฐ guinea pig์ ์ํ ์ฑ์ฅ์ ๋ฐ๋ผ ๋น์ ๋ง์ ์ํฅ์ ๋ผ์น ๊ฒ์ผ๋ก ์๊ฐ๋๋ค.
Lectin binding patterns in nasal mucosa of growing guinea pig
Seong Soo Hong
Department of Medical Science The Graduate School,Yonsei University
(Directed by Professor In Yong Park)
Clinically there are differences in the pathophysiologic patterns of the
infectious diseases of nasal mucosa, especially of rhinitis and sinusitis,
according to growth. But acceptable explanation of such differences is not
established except the anatomical cause such as relative larger size of the natural
ostium of naxillary sinus in childhood. Glycoprotein is the one of the most
important substances for defense mechanism and transmitter of intercellular
information.
We can postulate that if there is differences in distribution of glycoproteins
according to the growth, it might be one of the immunohistochemical clues to
understand the differences of the pathophysiologic pattern. This study is designed
to observe the distributions of glycoproteins in nasal mucosa of guinea pig
according to the age and sites, using lectin immunohistochemistry. The significant
results obtained ape are follows:
1) Con-A and RCA-I binding were noted since birth and DBA was noted from the
seventh day after birth in all respiratory mucosa.
2) UEA-1, WGA and SBA binding were observed at nasal floor. lower septum and
maxilloturbinate since birth. UEA-I and WGA binding were noted from the third day
after birth and SBA binding was noted from the seventh day after birth in
ethmoturbinate and upper septum.
3) PNA, WGA and Con-A binding were noted since birth in olfactory mucosa.
From above results, the patterns of appearance and distribution of glycoproteins
seems to contribute the funotion of the nasal mucosa of growing guinea pig.
[์๋ฌธ]
Clinically there are differences in the pathophysiologic patterns of the infectious diseases of nasal mucosa, especially of rhinitis and sinusitis, according to growth. But acceptable explanation of such differences is not established except the anatomical cause such as relative larger size of the natural
ostium of naxillary sinus in childhood. Glycoprotein is the one of the most important substances for defense mechanism and transmitter of intercellular information.
We can postulate that if there is differences in distribution of glycoproteins according to the growth, it might be one of the immunohistochemical clues to understand the differences of the pathophysiologic pattern. This study is designed to observe the distributions of glycoproteins in nasal mucosa of guinea pig
according to the age and sites, using lectin immunohistochemistry. The significant results obtained ape are follows:
1) Con-A and RCA-I binding were noted since birth and DBA was noted from the seventh day after birth in all respiratory mucosa.
2) UEA-1, WGA and SBA binding were observed at nasal floor. lower septum and maxilloturbinate since birth. UEA-I and WGA binding were noted from the third day after birth and SBA binding was noted from the seventh day after birth in ethmoturbinate and upper septum.
3) PNA, WGA and Con-A binding were noted since birth in olfactory mucosa.
From above results, the patterns of appearance and distribution of glycoproteins seems to contribute the funotion of the nasal mucosa of growing guinea pig.restrictio
Software Platform Architecture for Smart Car Connected Safety and Vehicular Cloud Computing
Author's final manuscript์ฐจ๋ ์ํํธ์จ์ด ํ๋ซํผ ํ๊ฒฝ ์์์ ๋ค์ค ์ผ์์ ์ ์ ์ฅ์น๋ค์ ์ง๋ฅ์ ์ด๊ณ ์ ๊ธฐ์ ์ผ๋ก ์ํธ์์ฉ์์ผ ์ด์ ์์๊ฒ ์์ ๊ณผ ํธ์์ฑ์ ์ ๊ณตํ๋ ๊ฒ์ด ์๋์ฐจ-IT ์ตํฉ์ ๋ชฉ์ ์ด๋ค. ์ด๋ ํ์ํ ๋ํ์ ์ธ ์ฐจ๋ ์ ์ ๊ธฐ์ ์ด ์ง๋ฅํ ์์ ๊ณผ ์ธํฌํ
์ธ๋จผํธ์ด๋ค. ์ด๋ค ๋ถ์ผ์์ ์๊ตฌ๋๋ ๊ธฐ์ ์ ๋ณต์ก๋์ ์์ฑ๋๋ ๋งค์ฐ ๋์์ ๋ค์ํ ํํ์ ์ง๋ฅ ์ ์ด ์๊ณ ๋ฆฌ์ฆ๋ค์ ๊ฐ๋ฐํ๊ณ ํตํฉํ๋ ๊ฒ์ด ํ์ํ๋ค.๋ถํํ๋ ์ด๋ฐ ๊ณ ๋์ ์์คํ
์ ์ง์ํ๊ธฐ ์ํ ์ํํธ์จ์ด ํ๋ซํผ์ ๊ธฐ๋ณธ ์ํคํ
์ฒ์ ๊ฐ๋
์ด ์์ง ์ ๋ฆฝ๋์ง ๋ชปํ๊ณ ์๋ค. ๋ณธ ๋
ผ๋ฌธ์์๋ ๋ฏธ๋ ์ค๋งํธ์นด๋ฅผ ์ํ ์ง๋ฅํ ์์ ์ ์ด ์์คํ
๊ณผ ์ธํฌํ
์ธ๋จผํธ ์์คํ
์ ์ค๊ณํ์ฌ ๊ฐ๋ฐํ๋๋ฐ ์์ด ์์๋๋ ๊ธฐ์ ์ ๋ฌธ์ ์ ์๋ถ์ํ๋ค. ์ด์ด์ ์ด๋ฅผ ํด๊ฒฐํ๋ ๋ ์ข
๋ฅ์ ํตํฉ ๊ฐ๋ฅํ ์ํํธ์จ์ด ํ๋ซํผ์ ์ ์ํ๋ค. ์ฒซ์งธ๊ฐ ์ค๋งํธ์นด๋ฅผ ์ํ ํตํฉ ์ ์ด ์๊ณ ๋ฆฌ์ฆ ํ๋ซํผ์ด๋ค. ์ด๋ ์ฐจ๋์ connected safety๋ฅผ ๊ตฌํํ๋ ์ผ๋ จ์ ์ธ๊ณต์ง๋ฅ ์ํํธ์จ์ด์ ์ด๋ค์ ์ํ ํ๊ฒฝ์ด๋ค. ์ด ํ๋ซํผ์ ๋ค์ํ ์ฐจ๋ ๋คํธ์ํฌ๋ฅผ ํ์ฉํ์ฌ IT ์ ๋ณด๋ฅผ ์ฐจ๋ ์ ์ด ์์คํ
์ ์ฐ๋์์ผ ์์ ์ ์ด ๊ธฐ์ ์ ๊ณ ์ง๋ฅํ๋ฅผ ์ถ๊ตฌํ๋ค. ๋์งธ๊ฐ ์ฐจ๋ ํด๋ผ์ฐ๋ ์ปดํจํ
ํ๋ซํผ์ด๋ค. ์ด๋ฅผ ํตํด ๋ค์ํ ์ปจํ
์ธ ๊ฐ ์ฐจ๋์ผ๋ก ๋์์์ด ์๋น์ค ๋๋ ํ๊ฒฝ์ ์ ๊ณตํ๋ค. ์ด๋ฅผ ์ค๊ณํ๋ ๊ณผ์ ์์ ์ฐจ๋์ฉ์ํํธ์จ์ด ํ๋ซํผ ๋๋ฆฝ์ ๋ฌธ์ ๋ฅผ ๊ทน๋ณตํ๊ณ ์ฐจ๋ ์ธํฌํ
์ธ๋จผํธ ์์คํ
์ ์ฌ๊ฐํ ์ ์ฝ์ด ๋ ์ ์๋ ๋ฌด์ ๋ง์ ๋ถ์์ ์ฑ๊ณผ ๋์ญํญ์ํฌํ ๋ฌธ์ ๋ฅผ ํจ๊ณผ์ ์ผ๋ก ํด๊ฒฐํ๊ณ ์ ํ๋ค. ์ด๋ฅผ ์ํด ์น ์์ฉ ๊ธฐ๋ฐ์ ํ๋ซํผ๊ณผ ์ฐจ๋ ํด๋ผ์ฐ๋ ์บ์๋ฅผ ๊ฐ๊ฐ ์ ์ํ๋ค.The objective of recent vehicle-IT convergence is to provide safety and convenience for drivers by integrating multiple
intelligent sensors and electronic devices in the vehicular software platform environment of a smartcar. Two key enabling
electronic technologies for smartcars are intellignent safety and infotainment. Since these are subject to an extremely high
level of technical complexity and completeness, it is necessary to develop and integrate various types of intelligent
vehicular control algorithms. Unfortunately, software platform architecture and associated mechanims for such intelligent
control algorithms have not been established yet. In this paper, we analyze technical challenges that arise in designing and
developing intelligent safety and infotainment systems for future smartcars. We then present two software platforms that
effectively address such technical challenges. The first is an intergrated control algorithms platform. It consists of the
implementation of various connected safety algorithms for smartcars and an operating environment. The platform makes
use of various vehicular networking technologies to provide vehicle control systems with a variety of contextual and
location aware information. The second is a vehicular cloud computing platform. It allows for seamless services of diverse
media contents inside a smartcar. When designing such a platform, we aim to overcome a problem caused by a fragmented
automotive infotainment software platform market and the problem of network instability and insufficient wireless
network bandwidth. They are serious constraints that will be imposed on future vehicular infotaiment systems. In doing so,
we propose a web application-based platform and in-vehicular cloud cache to respectively address each of the problems.OAIID:oai:osos.snu.ac.kr:snu2012-01/102/0000004193/5SEQ:5PERF_CD:SNU2012-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:YEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:12-05-18 SKTR - ํ์ฑ์.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]_YN:NCONFIRM:
๋ฉํฐ์ฝ์ด ์์คํ ์์ ๊ณต์ ์ฑ ํฅ์์ ์ํ Virtual Runtime ๊ธฐ๋ฐ ๋ก๋ ๋ฐธ๋ฐ์ฑ ๋ฉ์ปค๋์ฆ
OAIID:oai:osos.snu.ac.kr:snu2011-01/102/0000004193/4SEQ:4PERF_CD:SNU2011-01EVAL_ITEM_CD:102USER_ID:0000004193ADJUST_YN:NEMP_ID:A005174DEPT_CD:4541CITE_RATE:0FILENAME:11-09-07 ์ ๋ณด๊ณผํํ - CFS ๋ก๋ ๋ฐธ๋ฐ์ฑ_์ถํ์ฉ.pdfDEPT_NM:์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถEMAIL:[email protected]: