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Related papers: Unikernel Linux (UKL)

200 papers

The dynamic scheduling of ultra-reliable and low-latency traffic (URLLC) in the uplink can significantly enhance the efficiency of coexisting services, such as enhanced mobile broadband (eMBB) devices, by only allocating resources when…

Signal Processing · Electrical Eng. & Systems 2024-05-02 Kfir M. Cohen , Sangwoo Park , Osvaldo Simeone , Petar Popovski , Shlomo Shamai

Wide Locally Recoverable Codes (LRCs) have recently been proposed as a solution for achieving high reliability, good performance, and ultra-low storage cost in distributed storage systems. However, existing wide LRCs struggle to balance…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-19 Liangliang Xu , Fengming Tang , Tingting Chen , Qiliang Li , Min Lyu , Gennian Ge

Operating system (OS) kernel tuning is a critical yet challenging problem for performance optimization, due to the large configuration space, complex interdependencies among configuration options, and the rapid evolution of kernel versions.…

Operating Systems · Computer Science 2026-02-13 Hongyu Lin , Yuchen Li , Haoran Luo , Kaichun Yao , Libo Zhang , Zhenghong Lin , Mingjie Xing , Yanjun Wu , Carl Yang

Context: The integration of Rust into kernel development is a transformative endeavor aimed at enhancing system security and reliability by leveraging Rust's strong memory safety guarantees. Objective: We aim to find the current advances in…

Software Engineering · Computer Science 2024-09-10 Shane K. Panter , Nasir U. Eisty

This paper presents a unified framework for evaluating Linux security hardening on the FABRIC testbed through aggregation of heterogeneous security auditing tools. We deploy three Ubuntu 22.04 nodes configured at baseline, partial, and full…

Cryptography and Security · Computer Science 2026-01-06 Sheldon Paul , Izzat Alsmadi

Multiple Kernel Learning, or MKL, extends (kernelized) SVM by attempting to learn not only a classifier/regressor but also the best kernel for the training task, usually from a combination of existing kernel functions. Most MKL methods seek…

Machine Learning · Computer Science 2016-03-07 John Moeller , Sarathkrishna Swaminathan , Suresh Venkatasubramanian

This paper presents a microkernel architecture for constraint programming organized around a number of small number of core functionalities and minimal interfaces. The architecture contrasts with the monolithic nature of many…

Artificial Intelligence · Computer Science 2014-01-22 Laurent Michel , Pascal Van Hentenryck

Contemporary distributed computing workloads, including scientific computation, data mining, and machine learning, increasingly demand OS networking with minimal latency as well as high throughput, security, and reliability. However,…

Operating Systems · Computer Science 2025-09-30 Yanlin Du , Ruslan Nikolaev

The analysis of source code through machine learning techniques is an increasingly explored research topic aiming at increasing smartness in the software toolchain to exploit modern architectures in the best possible way. In the case of…

Machine Learning · Computer Science 2020-12-15 Emanuele Parisi , Francesco Barchi , Andrea Bartolini , Giuseppe Tagliavini , Andrea Acquaviva

The last twenty years have seen the development and popularity of network measurement infrastructures. Internet measurement platforms have become common and have demonstrated their relevance in Internet understanding and security…

Operating Systems · Computer Science 2024-05-08 Maxime Letemple , Gaulthier Gain , Sami Ben Mariem , Laurent Mathy , Benoit Donnet

Package managers are a very important part of Linux distributions but we have noticed two weaknesses in them: They use pre-built packages that are not optimised for specific hardware and often they are too heavy for a specific need, or…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-02 Olivier Bal-Pétré , Pierre Varlez , Fernando Perez-Tellez

The rapid growth of large language models (LLMs) has made GPU communication a critical bottleneck. While prior work reduces communication volume via quantization or lossy compression, these approaches introduce numerical errors that can…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-23 Shuang Ma , Chon Lam Lao , Zhiying Xu , Zhuang Wang , Ziming Mao , Delong Meng , Jia Zhen , Jun Wu , Ion Stoica , Yida Wang , Yang Zhou

Highly configurable systems are highly complex systems, with the Linux kernel arguably being one of the most well-known ones. Since 2007, it has been a frequent target of the research community, conducting empirical studies and building…

Software Engineering · Computer Science 2021-01-01 Patrick Franz , Thorsten Berger , Ibrahim Fayaz , Sarah Nadi , Evgeny Groshev

Supporting ultra-reliable and low-latency communications (URLLC) is one of the major goals for the fifth-generation cellular networks. Since spectrum usage efficiency is always a concern, and large bandwidth is required for ensuring…

Information Theory · Computer Science 2018-01-04 Changyang She , Chenyang Yang , Tony Q. S. Quek

An important ingredient of the future 5G systems will be Ultra-Reliable Low-Latency Communication (URLLC). A way to offer URLLC without intervention in the baseband/PHY layer design is to use interface diversity and integrate multiple…

Information Theory · Computer Science 2017-11-22 Jimmy J. Nielsen , Rongkuan Liu , Petar Popovski

Linux systems are integral to the infrastructure of modern computing environments, necessitating robust security measures to prevent unauthorized access. Privilege escalation attacks represent a significant threat, typically allowing…

Cryptography and Security · Computer Science 2025-02-18 Andreas Happe , Jürgen Cito

High-performance computing (HPC) is a major driver accelerating scientific research and discovery, from quantum simulations to medical therapeutics. While the increasing availability of HPC resources is in many cases pivotal to successful…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-28 Vincent R. Pascuzzi , Mehdi Goli

Advancements in large language models (LLMs) are showing promising impact in software development and programming assistance. However, these models struggle when operating on low-level backend code. This challenge is exacerbated in the…

Software Engineering · Computer Science 2025-12-23 Muhammad Usman Tariq , Abhinav Jangda , Angelica Moreira , Madan Musuvathi , Tyler Sorensen

The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such models involve a least…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-28 Kazuaki Matsumura , Simon Garcia De Gonzalo , Antonio J. Peña

The choice between containers and unikernels is a critical trade-off for edge applications, balancing the container's ecosystem maturity against unikernel's specialized efficiency. However, until now, how this trade-off behaves under the…

Performance · Computer Science 2025-09-10 Hai Dinh-Tuan