Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Qing Wang, Yong Zhang
Although microservices have physically isolated modules, they have failed to prevent the propagation and diffusion of dependencies. To trace the root cause of the inter-module coupling, this paper, starting from the impact assessment approach for module changes, proposes a conceptual method for calculating module…
Jose L Figueroa, Richard Allen White
We now exist in the era of massive datasets from genomics, large language models, and all the known knowledge of humanity right at our fingertips. Much of this data is becoming more accessible; however, processing such data remains an ongoing issue across systems including high performance computing (HPC)…
Anisha Tasnim, Tian Zhao
Modern game engines increasingly adopt the Entity Component System (ECS) paradigm as a data-oriented alternative to traditional object-oriented architecture. While ECS promotes modularity and performance through the separation of data and behavior, its practical efficiency depends heavily on the underlying data layout.…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Ruslan Zakirzyanov
—The article proposes a method for optimizing the structure of the software and hardware complex of an automated control system for continuous technological processes for large industrial enterprises. General information is given on the relevance of the problem of choosing the structure of a system built on the basis…
Amin Beheshti, Rong N. Chang, Boualem Benatallah, Fabio Casati + 6 more
The rapid emergence of LLM-powered autonomous and semi-autonomous agents is reshaping software systems from static, request-response components into goal-directed, adaptive, and tool-using computational actors. As these agents move from isolated cognitive prototypes into complex distributed workflows, they confront…
Daniel Jackson
A core principle of object orientation -- that the functionality of a system can be partitioned amongst objects that correspond to individuals in the problem domain -- has influenced how software has been specified, designed and implemented for more than fifty years. Later developments in software engineering sought to…
Hongli Wang, Zhiwei Chen, Xiaotong Fang, Antonio Javier Nakhal Akel
The aviation industry extensively employs integrated modular avionics (IMA) to enhance system efficiency by sharing resources across various functions. Despite the benefits, the design of IMA systems is not without its challenges, particularly in achieving cost-effectiveness, ensuring availability, and addressing…
Mónica M. Villegas, Mauricio Solar, Fáber D. Giraldo, Hernán Astudillo + 2 more
The rapid expansion of Internet of Things (IoT) applications requires robust mechanisms to ensure the security, reliability, and maintainability of embedded software throughout its lifecycle. Over-the-Air (OTA) update systems play a central role in enabling the continuous evolution of IoT deployments. Despite their…
Mikhail Nesterenko, Joseph Oglio
We present QUANTAS 2: a new distributed algorithm simulator and quantitative performance analysis tool. We use the original QUANTAS as a foundation. QUANTAS 2 can perform fast abstract exploration, concrete validation, and adversarial fault injection while preserving a compact implementation model for distributed…
Zhenyu Li, Yong Ding, Ruwen Zhao, Shuo Wang + 2 more
With the widespread deployment of Industrial Cyber-Physical Systems (ICPS), their inherent vulnerabilities have increasingly exposed them to sophisticated cybersecurity threats. Although existing protective mechanisms can block attacks at runtime, the risk of defense failure remains. To proactively evaluate and harden…
Authors not listed
The analysis of molecular dynamics (MD) simulations is a critical but fragmented process, often requiring researchers to chain together multiple software tools and write bespoke scripts for routine structural and dynamic analyses. This workflow complexity creates a significant barrier to efficiency, standardization…
Konstantinos Panayiotou, Emmanouil Tsardoulias, Theodoros Tsampouris, Andreas L. Symeonidis + 2 more
A common problem in the development of Internet-of-Things (IoT) and cyber-physical system (CPS) applications is the complexity of these domains, due to their hybrid and distributed nature at multiple layers (hardware, network, communication, frameworks, etc.). This complexity often leads to implementation errors, some…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…