Once middleware models are computed, behaviors that would lead to unsafe operation can be spotted automatically on a composition of identified middleware and control software models using model checking techniques. The approach is based on our tool AIDE — Automata IDentification Engine — to identify ...
Interaction Model Asynchronous Distributed System Each step in a process takes lb < time < ub Each message is received within bounded time Each local clock’s drift has a known bound Asynchronous Distributed System No bounds on process execution No bounds on message transmission delays The drift ra...
Middleware-based SystemsGeneral structure of a distributed system as middleware. Middleware提供部分Distributed Operating System服务。1-22第9页,共93页。中间件(Middleware) 从中间件提出的初始动因来看,是指网络环境下处于操作系统等系统软件和应用软件之间的一种起连接作用的分布式软件,主 6、要解决异构网络环境下...
Parameterized Models for Distributed Java Objects 45 2.1 Theoretical Model We start with an unspecified set of communications Actions Act, that will be refined later. We model the behaviour of a process as a Labelled Transition System (LTS) in a classical way [7]. The LTS transitions encode ...
The “Internet of Things”(IoT) paradigm aims at providing models and mechanisms enabling the creation of networks of “smart things” on a large scale by means of RFID, wireless sensor and actuator networks, where embedded devices are distributed in the physical environment [6]. The current de...
In recent years, large-scale artificial intelligence (AI) models have become a focal point in technology, attracting widespread attention and acclaim. Nota
Back 23 Middleware – bootloader / secure boot A bootloader aims to enable firmware update in the field through a communication interface. STM32 devices embed a built-in bootloader in system memory, supporting UART, SPI, I2C, CAN, USB interfaces. Alternatively, developers can implement their own...
Finally, we set up alerting rules in Grafana based on drift thresholds. We also configure a notification channel that will send a Discord alert when the system detects a drift. Now, let’s look at each of these stages in more detail. 1. Setting up the environment First, we will create ...
training of large language models. It includes ZeRO (Zero Redundancy Optimizer), a memory-efficient approach for distributed training. DeepSpeed can automatically optimize fine-tuning jobs that use Hugging Face’s Trainer API, and offers a drop-in replacement script to run existing fine-tuning ...
In subject area: Engineering Adaptation model: The component of an adaptive hypermedia system that allows the system to modify information presentation so that reading and navigation style conform to user preferences and knowledge level and that specifies how the user's knowledge modifies the presentatio...