One Profile Fits All

Ugur, Muhammed; Jiang, Cheng; Erf, Alex; Khan, Tanvir Ahmed; Kasikci, Baris

doi:10.1145/3544497.3544502

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…A Jacobian matrix (Equation ( 14)) is obtained by taking the partial derivatives of Equations ( 4), ( 8) and (12).…”

Section: Evolutionary Stable Strategiesmentioning

confidence: 99%

“…The development of open-source operating systems, as a crucial vehicle for opensource diffusion, contributes to the diversification of intelligent technologies and enables market freedom of choice [7][8][9][10]. In competition among open-source operating systems (Table 1), kernel update and optimization of an operating system is a core task of the open-source platform [11,12]. Kernel is the core of an open-source operating system, which controls the operation of computer hardware and provides services for applications.…”

Section: Introductionmentioning

confidence: 99%

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Breaking Triopoly to Achieve Sustainable Smart Digital Infrastructure Based on Open-Source Diffusion Using Government–Platform–User Evolutionary Game

Li,

Zhu,

Luo

et al. 2023

Sustainability

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Technological innovations, including the Internet of Things (IoT) and machine learning, have facilitated the emergence of autonomous systems, promoting triple bottom line (TBL) sustainability. However, the prevalent triopoly of Android, iOS, and Windows introduces substantial obstacles for smart device manufacturers in pursuit of independent innovation. This research endeavors to elucidate how open-source operating systems can counteract this triopoly and catalyze sustainable digital development. Utilizing evolutionary game theory, we scrutinize the interplay among governments, platforms, and users in championing open-source diffusion. Our analysis unveils two potent evolutionary strategies—incentivized engagement and disengagement—that notably expedite open-source diffusion and attenuate software supply chain risks affiliated with the Android–iOS–Windows triopoly (results). Consequently, this research highlights the critical role of augmenting stakeholder collaboration and bolstering platform reputation in propelling open-source diffusion, thereby providing valuable theoretical insights and practical guidance for the sustainable advancement of smart digital infrastructure.

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“…A Jacobian matrix (Equation ( 14)) is obtained by taking the partial derivatives of Equations ( 4), ( 8) and (12).…”

Section: Evolutionary Stable Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Breaking Triopoly to Achieve Sustainable Smart Digital Infrastructure Based on Open-Source Diffusion Using Government–Platform–User Evolutionary Game

Li,

Zhu,

Luo

et al. 2023

Sustainability

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show abstract

“…This general approach was called evidence-based static profiling by Calder et al [1997]. Although not new, recent developments in machine learning have returned evidence-based methodologies to the spotlight Moreira et al [2021], Sweety and Chaudhary [2021], Ugur et al [2022].…”

Section: The Contributions Of This Papermentioning

confidence: 99%

“…In our experience, this motivation might not be applicable to the problem of reusing profiling information. Industry-quality systems that perform feedback-directed optimization in large binaries have access to function names Chen et al [2016], Ottoni [2018], Panchenko et al [2019], Ugur et al [2022]. Indeed, BOLT, the tool that we use in this paper, recovers function names from the ELF representation of programs Panchenko [2018].…”

Section: Inter-procedural Matchingmentioning

confidence: 99%

Beetle: A Feature-Based Approach to Reduce Staleness in Profile Data

Pereira

Moreira

Ottoni

2023

Preprint

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Profiling is one of the most effective enablers of compiler optimizations. Reports of speedups of 20-30% on top of highly optimized codes are common in the industry. Despite these gains, profiling is rarely used during development — rather, it is used during the generation of production-ready executables. Collecting profile information takes time, and reusing it across different versions of the same software leads to poor results, particularly for binary-level optimizations: small changes to the code might invalidate large portions of otherwise good data. This paper proposes a methodology to mitigate this problem. When mapping profile information from one program to a newer version of it, we use branch features, instead of addresses or hash of instructions, as anchor points between programs. Branch features have been used for decades as a way to predict the outcome of branches: they are characteristics of the branch, such as direction and opcode. By choosing good feature sets, it is possible to minimize collisions between branches, so that different branches seldom share the same features. We have modified the BOLT binary optimizer to use branch features to map profile information across programs. By optimizing three new versions of four large executables — Clang, GCC, MySQL, and PostgreSQL — we show that the new approach to reuse profile data yields speedups of about 8.00% over Clang -O3. In contrast, BOLT’s default mapping, which uses relative addresses as anchor points, yields speedups of 6.06%. Previous work based on hashing of basic blocks yields speedups of 5.02%.

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Discussion on Intrusion and Defense Technology of Computer Network Server with Linux

李丽婷

2023

2023 3rd International Conference on Smart Data Intelligence (ICSMDI)

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One Profile Fits All

Cited by 4 publications

References 17 publications

Breaking Triopoly to Achieve Sustainable Smart Digital Infrastructure Based on Open-Source Diffusion Using Government–Platform–User Evolutionary Game

Breaking Triopoly to Achieve Sustainable Smart Digital Infrastructure Based on Open-Source Diffusion Using Government–Platform–User Evolutionary Game

Beetle: A Feature-Based Approach to Reduce Staleness in Profile Data

Discussion on Intrusion and Defense Technology of Computer Network Server with Linux

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