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This paper presents the design of the CASPER1 middleware architecture that enables the implementation of real-time QoE-driven service management. More in detail, we thoroughly describe the new modules, methods and functionalities that need to be integrated into the network providers' infrastructure, according to CASPER. Based on this architecture, future virtualized networks can provide a closed-loop...
We discuss our experience with the design, implementation, deployment and evaluation of a Human Activity Detection application. This application relies on a software architecture for IoT-based monitoring in Ambient Assisted Living (AAL), based on a Semantic Message Oriented Middleware (SeMoM). Going beyond traditional sensor management systems, our architecture addresses the heterogeneity challenge...
In order to meet the significant challenges in future MPSoCs they need be become more adaptive and autonomous. We argue that a self-aware MPSoC can efficiently manage itself even in the presence of aging, varying application demands, functional and non-functional aberrations, and thus achieve a high level of adaption and autonomy. We review CPSoC as an exemplar of a self-aware MPSoC and demonstrate...
The rise of the Internet of things (IoT) poses massive scalability issues for location-based services. More particularly, location-aware publish and subscribe services are struggling to scale out the computation of matches between publications and subscriptions that continuously update their location. In this demonstration paper, we propose a novel distributed and horizontally scalable architecture...
Distributed Energy Resources (DERs) are being increasingly accepted as an excellent complement to traditional energy sources in smart grids. As most of these generators are geographically dispersed, dedicated communications investments for every generator are capital cost prohibitive. Real-time distributed communications middleware, which supervises, organizes and schedules tremendous amounts of data...
The explosive proliferation of smart devices and cloud computing has ushered the era of Cyberphysical Systems (CPS), a congruence of physical dynamical systems with the cyberspace. The success of deploying an Internet of Things (IoT) interconnecting billions of devices relies heavily upon making the right choices in revisiting traditional architectures for networked control and information processing...
The Transport Layer Security (TLS) protocol is designed to allow two parties, a client and a server, to communicate securely over an insecure network. However, when TLS connections are proxied through an intermediate middlebox, like a Content Delivery Network (CDN), the standard endto- end security guarantees of the protocol no longer apply. In this paper, we investigate the security guarantees provided...
The main challenge of architecting modern industrial control and automation systems (ICASs) is that they need to fulfill quality attributes (QAs) traditional to real-time systems — such as timeliness and predictability — and modern software engineering — such as modularity or reusability. QAs often areconflicting, which entails difficult trade-offs. As a consequence, even the architecture of closely...
Robotics has adopted modeling with architecture description languages (ADLs). This introduces a gap when reusing solutions encoded in middleware modules. Existing ADL modeling in robotics focuses on domain challenges instead of tool modularity, hence customizing an ADL tool to generate solutions conforming to a specific middleware (e.g., ROS) is challenging. This could produce a multitude of incompatible...
Modern robotic systems are a combination of sophisticated software and hardware components and they offer complex functionalities. While popular middlewares that promote component-level reusability and assist development already exist, there are no established techniques or procedures that use a formal approach to robot system and architecture design yet. This work aims at the long term goal of model-based...
Leveraging the game-changer concept of crowdsourcing during the recent years has been fueled a broad range of scientific and operational disciplines to introduce more efficient solutions. Principally, in this approach wisdom of crowds are taken as a comprehensive and widely-accepted solution for a specific problem. In this regard, employing such a (partly collaborative) model can lead to increased...
Data heterogeneity and proprietary interfaces present a major challenge for big data analytics. The data generated from a multitude of sources has to be aggregated and integrated first before being evaluated. To overcome this, an automated integration of this data and its provisioning via defined interfaces in a generic data format could greatly reduce the effort for an efficient collection and preparation...
A computer program, at its most basic level is a series of low level processor instructions which are executed sequentially. These instructions take time to execute, thus longer programs have longer execution times. One way to decrease the execution time for a program is to decrease the required time for each instruction. This is called frequency scaling. The disadvantage of frequency scaling is that...
In this paper, we sketch a new methodology of expanding cloud file sharing capabilities from only storing images to also performing resizing along with encryption and analytics. We propose to do it through moving and executing user-defined programs near the data inside an object storage cloud, which is significantly different from traditional public clouds having well-known security vulnerabilities...
This paper explores the effectiveness of MOOS-IvP middleware for Unmanned Surface Vehicles(USV). As unmanned technology evolves, various functions are required to carry out some missions. Also, as the USVs have more sensors, the complexity of data sharing is increasing. A good solution to deal with this is middleware. The MOOS-IvP is a C++ based open source publish-subscribe middleware. It consists...
In recent years, the increasing penetration of Distributed Energy Resources (DERs) has made an impact on the operation of the electric power systems. In the grid integration of DERs, data acquisition systems and communications infrastructure are crucial technologies to maintain system economic efficiency and reliability. Since most of these generators are relatively small, dedicated communications...
Analyzing and visualizing large datasets generated by real-time spatio-temporal activities (e.g. vehicle mobility or large crowd movement) are a very challenging task. Recursive delays both at middleware and front end applications limit the of usefulness of the real-time analysis. In this paper, we present a framework “Spatial-Crowd” that first handles spatial-temporal data acquisition and processing...
DistributedCL is a middleware which enables transparent parallel processing on distributed GPUs. With the support of the DistributedCL middleware an application designed to use the OpenCL API can run in a distributed manner and transparently use remote GPUs without having to change or rebuild the code. The proposed architecture for the DistributedCL middleware is modular, with well-defined layers...
In this paper a novel architecture for control system design in networked environment is presented, where the consistent distribution of the control system functionalities is proposed to the dedicated time-aware system components. The sensing, actuating and algorithmic functionalities are uniformly encapsulated into the passive system components utilized as a network-accessible service groups. Service...
This paper presents an architecture that will enhance currently fielded and commercial off-the-shelf (COTS) systems by providing wideband frequency maneuverability, collaboration between systems, and an integrated operator view of the electronic battlespace. The architecture is composed of a software control system and a photonic radio frequency (RF) front end. The architecture is designed to wrap...
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