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| Content Provider | Springer Nature Link |
|---|---|
| Author | Joo, Yongsoo Ryu, Junhee Park, Sangsoo Shin, Kang G. |
| Copyright Year | 2012 |
| Abstract | Application launch performance is of great importance to system platform developers and vendors as it greatly affects the degree of users’ satisfaction. The single most effective way to improve application launch performance is to replace a hard disk drive (HDD) with a solid state drive (SSD), which has recently become affordable and popular. A natural question is then whether or not to replace the traditional HDD-aware application launchers with a new SSD-aware optimizer. We address this question by analyzing the inefficiency of the HDD-aware application launchers on SSDs and then proposing a new SSD-aware application prefetching scheme, called the Fast Application STarter (FAST). The key idea of FAST is to overlap the computation (CPU) time with the SSD access (I/O) time during an application launch. FAST is composed of a set of user-level components and system debugging tools provided by Linux OS (operating system). Hence, FAST can be easily deployed in any recent Linux versions without kernel recompilation. We implement FAST on a desktop PC with an SSD running Linux 2.6.32 OS and evaluate it by launching a set of widely-used applications, demonstrating an average of 28% reduction of application launch time as compared to PC without a prefetcher. |
| Starting Page | 727 |
| Ending Page | 743 |
| Page Count | 17 |
| File Format | |
| ISSN | 10009000 |
| Journal | Journal of Computer Science and Technology |
| Volume Number | 27 |
| Issue Number | 4 |
| e-ISSN | 18604749 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-07-12 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | application launch performance I/O prefetch solid state drive Software Engineering Information Systems Applications (incl. Internet) Data Structures, Cryptology and Information Theory Theory of Computation Computer Science Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture |
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