.png){kind=icon}
返回
Scalability in Computing and Robotics
.png){kind=icon}
OA
AI
DOI：10.1109/TC.2021.3089044.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Efficient engineered systems require scalability. A scalable system has increasing performance with increasing system size. In an ideal situation, the increase in performance (e.g., speedup) corresponds to the number of units (e.g., processors, robots, users) that are added to the system (e.g., three times the number of processors in a computer would lead to three times faster computations). However, if multiple units work on the same task, then coordination among these units is required. This coordination can introduce overheads with an impact on system performance. The coordination costs can lead to sublinear improvement or even diminishing performance with increasing system size. However, there are also systems that implement efficient coordination and exploit collaboration of units to attain superlinear improvement. Modeling the scalability dynamics is key to understanding and engineering efficient systems. Known laws of scalability, such as Amdahl's law, Gustafson's law, and Gunther's Universal Scalability Law, are minimalistic phenomenological models that explain a rich variety of system behaviors through concise equations. While useful to gain general insights, the phenomenological nature of these models may limit the understanding of the underlying dynamics, as they are detached from first principles that could explain coordination overheads or synergies among units. Through a decentralized system approach, we propose a general model based on generic interactions between units that is able to describe, as specific cases, any general pattern of scalability included by previously reported laws. The proposed general model of scalability has the advantage of being built on first principles, or at least on a microscopic description of interaction between units, and therefore has the potential to contribute to a better understanding of system behavior and scalability. We show that this generic model can be applied to a diverse set of systems, such as parallel supercomputers, robot swarms, or wireless sensor networks, therefore creating a unified view on interdisciplinary design for scalability.
Keyword:
Scalability
Robot kinematics
Mathematical model
Computational modeling
Throughput
Task analysis
Maintenance engineering
Scalability
performance analysis
parallel computing
robotics
modeling
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
5.3K
被引数:
9.8K
机构
引用论文
Modeling swarm robotic systems: A case study in collaborative distributed manipulation群体机器人系统建模: 协作分布式操作的案例研究OAAI
OAAI分享收藏分享收藏Effects immédiats d'une augmentation rapide de température sur certains paramètres sanguins du “loup” Dicentrarchus labrax (Linne, 1758).png)
Aquaculture
AquacultureIF0
PREAI
分享收藏Influence of the number of topologically interacting neighbors on swarm dynamicsSCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏On the Mechanisms of Blunted Nocturnal Decline in Arterial Blood Pressure in NIDDM Patients With Diabetic NephropathyDiabetes
DiabetesIF0
PREAI
分享收藏
查看更多内容