New Architecture of Remote Laboratories Multiuser based on Embedded Web Server

Abstract—This paper presents a new architecture for multiuser remote laboratory based on an embedded web server used for experiment with the MCS-51 microcontroller system. The design for the remote lab uses a green computing approach, with the aim of reducing energy consumption, lowering the cost of procurement systems, improving performance and use, and also saving space. The remote lab system uses multi user and multi device architecture to support collaborative work and improve scalability. The design of the remote lab has n modules experiment, and each module can be accessed by a single user or a group which consists of several user. The prototype of a remote lab that has been realized consists of an embedded web server based on Raspberry Pi as the remote lab gateway and 2 experiment modules that are controlled by an embedded web server based on MCS-51 microcontroller. Development of the system is expected to contribute to creating an efficient remote lab that is able to facilitate collaborative work and support green computing. Index Terms—Remote Laboratories, Embedded Web Server, Microcontroller, Multiuser, Collaborative Work, Green Computin

Introduction to the Selected Papers from ICCPS 2016

Since their inception more than a decade ago, terms such as “cyber-physical systems” (CPS) or “cooperating objects” have come to describe research and engineering efforts that tightly conjoin real-world physical processes and computing systems. The integration of physical processes and computing is not new; embedded computing systems have been in place for decades controlling physical processes. The revolution is steaming from the extensive networking of embedded computing devices and the holistic cyber-physical co-design that integrates sensing, actuation, computation, networking, and physical processes. Such systems pose many broad scientific and technical challenges, ranging from distributed programming paradigms to networking protocols, as well as systems theory that combines physical models and networked embedded systems. Notably, as the physical interactions imply that timing requirements are considered, real-time computing systems methodologies and technologies are also pivotal in many of those systems. Moreover, many of these systems are often safety-critical, and therefore it is fundamental to guarantee other nonfunctional properties (such as safety, security, and reliability), which often interplay among them and with timeliness requirements. CPS is a growing key strategic research, development, and innovation area, and it is becoming pivotal for boosting the development of the future generation of highly complex and automated computing systems, which will be pervasive in virtually all application domains. Notable examples are aeronautics, aerospace and defence systems, robotics, autonomous transportation systems, the Internet of Things, energy-aware and green computing, smart factory automation, smart grids, and advanced medical devices and applications. This special issue contains a selection of extended versions of the best papers presented at the Seventh ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2016), which was held with the Cyber-Physical Systems Week in Vienna, Austria, on 11–14 April 2016. This selection reflects effectively the growing pervasiveness of these systems in various applications domains. These papers excel at describing the diversity of methodologies used to design and verify various non-functional properties of these complex systems.info:eu-repo/semantics/publishedVersio

Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility

The automotive sector digitalization accelerates the technology convergence of perception, computing processing, connectivity, propulsion, and data fusion for electric connected autonomous and shared (ECAS) vehicles. This brings cutting-edge computing paradigms with embedded cognitive capabilities into vehicle domains and data infrastructure to provide holistic intrinsic and extrinsic intelligence for new mobility applications. Digital technologies are a significant enabler in achieving the sustainability goals of the green transformation of the mobility and transportation sectors. Innovation occurs predominantly in ECAS vehicles’ architecture, operations, intelligent functions, and automotive digital infrastructure. The traditional ownership model is moving toward multimodal and shared mobility services. The ECAS vehicle’s technology allows for the development of virtual automotive functions that run on shared hardware platforms with data unlocking value, and for introducing new, shared computing-based automotive features. Facilitating vehicle automation, vehicle electrification, vehicle-to-everything (V2X) communication is accomplished by the convergence of artificial intelligence (AI), cellular/wireless connectivity, edge computing, the Internet of things (IoT), the Internet of intelligent things (IoIT), digital twins (DTs), virtual/augmented reality (VR/AR) and distributed ledger technologies (DLTs). Vehicles become more intelligent, connected, functioning as edge micro servers on wheels, powered by sensors/actuators, hardware (HW), software (SW) and smart virtual functions that are integrated into the digital infrastructure. Electrification, automation, connectivity, digitalization, decarbonization, decentralization, and standardization are the main drivers that unlock intelligent vehicles' potential for sustainable green mobility applications. ECAS vehicles act as autonomous agents using swarm intelligence to communicate and exchange information, either directly or indirectly, with each other and the infrastructure, accessing independent services such as energy, high-definition maps, routes, infrastructure information, traffic lights, tolls, parking (micropayments), and finding emergent/intelligent solutions. The article gives an overview of the advances in AI technologies and applications to realize intelligent functions and optimize vehicle performance, control, and decision-making for future ECAS vehicles to support the acceleration of deployment in various mobility scenarios. ECAS vehicles, systems, sub-systems, and components are subjected to stringent regulatory frameworks, which set rigorous requirements for autonomous vehicles. An in-depth assessment of existing standards, regulations, and laws, including a thorough gap analysis, is required. Global guidelines must be provided on how to fulfill the requirements. ECAS vehicle technology trustworthiness, including AI-based HW/SW and algorithms, is necessary for developing ECAS systems across the entire automotive ecosystem. The safety and transparency of AI-based technology and the explainability of the purpose, use, benefits, and limitations of AI systems are critical for fulfilling trustworthiness requirements. The article presents ECAS vehicles’ evolution toward domain controller, zonal vehicle, and federated vehicle/edge/cloud-centric based on distributed intelligence in the vehicle and infrastructure level architectures and the role of AI techniques and methods to implement the different autonomous driving and optimization functions for sustainable green mobility.publishedVersio

Power Management Techniques for Data Centers: A Survey

With growing use of internet and exponential growth in amount of data to be stored and processed (known as 'big data'), the size of data centers has greatly increased. This, however, has resulted in significant increase in the power consumption of the data centers. For this reason, managing power consumption of data centers has become essential. In this paper, we highlight the need of achieving energy efficiency in data centers and survey several recent architectural techniques designed for power management of data centers. We also present a classification of these techniques based on their characteristics. This paper aims to provide insights into the techniques for improving energy efficiency of data centers and encourage the designers to invent novel solutions for managing the large power dissipation of data centers.Comment: Keywords: Data Centers, Power Management, Low-power Design, Energy Efficiency, Green Computing, DVFS, Server Consolidatio

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Recent technological advances have greatly improved the performance and features of embedded systems. With the number of just mobile devices now reaching nearly equal to the population of earth, embedded systems have truly become ubiquitous. These trends, however, have also made the task of managing their power consumption extremely challenging. In recent years, several techniques have been proposed to address this issue. In this paper, we survey the techniques for managing power consumption of embedded systems. We discuss the need of power management and provide a classification of the techniques on several important parameters to highlight their similarities and differences. This paper is intended to help the researchers and application-developers in gaining insights into the working of power management techniques and designing even more efficient high-performance embedded systems of tomorrow

TechNews digests: Jan - Nov 2009

TechNews is a technology, news and analysis service aimed at anyone in the education sector keen to stay informed about technology developments, trends and issues. TechNews focuses on emerging technologies and other technology news. TechNews service : digests september 2004 till May 2010 Analysis pieces and News combined publish every 2 to 3 month