1,292 research outputs found
Industry 4.0 and Object-Oriented Development: Incremental and Architectural Change
Industry 4.0 in manufacturing is about combining cyber-physical systems with industrial automation systems. This integration of systems so different in nature aims to create context-aware factories in which people and machines are in real-time alignment. This paper examines the change processes triggered by Industry 4.0 from a conceptual perspective. We find that the observed patterns of change are not novel but have a lot in common with the paradigmatic shift in software development from structured to object-oriented development. The latter approach features to be incremental in the production phase and architectural in the product and process design phase. We argue that Industry 4.0 will be equally paradigmatic and mind-set changing for architects and engineers as to crafting production processes and creating products for the futur
CHERI: A hybrid capability-system architecture for scalable software compartmentalization
CHERI extends a conventional RISC Instruction-
Set Architecture, compiler, and operating system to support
fine-grained, capability-based memory protection to mitigate
memory-related vulnerabilities in C-language TCBs. We describe
how CHERI capabilities can also underpin a hardware-software
object-capability model for application compartmentalization
that can mitigate broader classes of attack. Prototyped as an
extension to the open-source 64-bit BERI RISC FPGA softcore
processor, FreeBSD operating system, and LLVM compiler,
we demonstrate multiple orders-of-magnitude improvement in
scalability, simplified programmability, and resulting tangible
security benefits as compared to compartmentalization based on
pure Memory-Management Unit (MMU) designs. We evaluate
incrementally deployable CHERI-based compartmentalization
using several real-world UNIX libraries and applications.We thank our colleagues Ross Anderson, Ruslan Bukin,
Gregory Chadwick, Steve Hand, Alexandre Joannou, Chris
Kitching, Wojciech Koszek, Bob Laddaga, Patrick Lincoln,
Ilias Marinos, A Theodore Markettos, Ed Maste, Andrew W.
Moore, Alan Mujumdar, Prashanth Mundkur, Colin Rothwell,
Philip Paeps, Jeunese Payne, Hassen Saidi, Howie Shrobe, and
Bjoern Zeeb, our anonymous reviewers, and shepherd Frank
Piessens, for their feedback and assistance. This work is part of
the CTSRD and MRC2 projects sponsored by the Defense Advanced
Research Projects Agency (DARPA) and the Air Force
Research Laboratory (AFRL), under contracts FA8750-10-C-
0237 and FA8750-11-C-0249. The views, opinions, and/or
findings contained in this paper are those of the authors and
should not be interpreted as representing the official views
or policies, either expressed or implied, of the Department
of Defense or the U.S. Government. We acknowledge the EPSRC
REMS Programme Grant [EP/K008528/1], Isaac Newton
Trust, UK Higher Education Innovation Fund (HEIF), Thales
E-Security, and Google, Inc.This is the author accepted manuscript. The final version is available at http://dx.doi.org/10.1109/SP.2015.
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Modules and Dialects as Objects in Grace
Grace is a gradually typed, object-oriented language for use in education; consonant with that use, we have tried to keep Grace as simple and straightforward as possible. Grace needs a module system for several reasons: to teach students about modular program design, to organise large programs, especially its self-hosted implementation, to provide access to resources defined in other languages, and to support different “dialects”—language subsets, or domain specific languages, for particular parts of the curriculum. Grace already has several organising constructs; this paper describes how Grace uses two of them, objects and lexical scope, to provide modules and dialects
Engineering context-aware systems and applications:A survey
Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: (A) Methodologies for developing context-aware systems, analyzing the reasons behind their lack of adoption and features that the community wish they can use; (B) Context-aware system engineering challenges and techniques applied during the most common development stages; (C) Context-aware systems conceptualization
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