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Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices

delete2020-11-01
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OA
AI
G
Geunsik Lim
D
Dong Hyun Kang
Y
Young Ik Eom *
DOI:10.1109/TCE.2020.3033328delete
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Abstract

Abstract

En 中文
Most modern operating systems have adopted the one-to-one thread model to support fast execution of threads in both multi-core and single-core systems. This thread model, which maps the kernel-space and user-space threads in a one-to-one manner, supports quick thread creation and termination in high-performance server environments. However, the performance of time-critical threads is degraded when multiple threads are being run in low-end CE devices with limited system resources. When a CE device runs many threads to support diverse application functionalities, low-level hardware specifications often lead to significant resource contention among the threads trying to obtain system resources. As a result, the operating system encounters challenges, such as excessive thread context switching overhead, execution delay of time-critical threads, and a lack of virtual memory for thread stacks. This article proposes a state-of-the-art Thread Evolution Kit (TEK) that consists of three primary components: a CPU Mediator, Stack Tuner, and Enhanced Thread Identifier. From the experiment, we can see that the proposed scheme significantly improves user responsiveness (7x faster) under high CPU contention compared to the traditional thread model. Also, TEK solves the segmentation fault problem that frequently occurs when a CE application increases the number of threads during its execution.
Keywords:
Instruction sets
Kernel
Message systems
Linux
Time factors
Context
Thread model
thread optimization
thread stack
thread scheduling
thread manager
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Consumer Electronics cover
IEEE Transactions on Consumer Electronics
IF:
10.9
Papers:
5.3K
Citations:
6.8K

Organization

S
sungkyunkwan university (skku)
Scholars:
3.7W
Papers: 3.6W
Citations: 49
C
Changwon National University
Scholars:
2.0K
Papers: 1.9K
Citations: 2
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