3,472 research outputs found
International Journal of Handheld Computing Research (IJHCR)
Full text linkThe International Journal of Handheld Computing Research (IJHCR) combines research from academicians and industrialists across the globe on advanced tools and technologies that perform wireless or mobile operations. Useful to scholars, researchers, and practitioners involved in related fields, this journal provides the latest developments in the theory, design, implementation, analysis, application, and standards of handheld computing. A comprehensive study of the handheld computing is given in this journal, which includes three themes: (i) mobile handheld devices, (ii) handheld computing and programming, and (iii) mobile applications using handheld devices
INTERNATIONAL JOURNAL OF ADAPTIVE, RESILIENT AND AUTONOMIC SYSTEMS
Full text linkThe International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) examines systems and organizations characterized by the following two properties: the ability to self-adapt to the characteristics of rapidly changing and turbulent environments by adopting complex individual and social strategies and the ability to control their changes to prevent the invalidation of their original mission statements. The central focus of IJARAS is on modeling, simulating, designing, developing, maintaining, evaluating, and benchmarking such “entelechial systems”. Perception, awareness, and the planning and execution of resilient adaptation behaviors in systems and organizations are central topics of the journal. Such systems range from individual and simple embedded systems with limited perception and predefined specialized behaviors to complex hybrid social organizations like cyber-physical societies or service-oriented communities, whose emerging behaviors are many and, in some cases, difficult to predict. IJARAS focuses on the full spectrum of these problems providing academicians, practitioners, and researchers with awareness and insight on conceptual models, applied and theoretical approaches, paradigms, and other technological innovations on self-adaptive and/or self-resilient systems and organizations of any scale and nature
Business-driven service placement for highly dynamic and distributed cloud systems
No full textThe emergence of large-scale Cloud computing environments characterized by dynamic resource pricing schemes enables valuable cost saving opportunities for service providers that could dynamically decide to change the placement of their IT service components in order to reduce their bills. However, that requires new management solutions to dynamically reconfigure IT service components placement, in order to respond to pricing changes and to control and guarantee the high-level business objectives defined by service providers. This paper proposes a novel approach based on Genetic Algorithm (GA) optimization techniques for adaptive business-driven IT service component reconfiguration. Our proposal allows to evaluate the performance of complex IT services deployments over large-scale Cloud systems in a wide range of alternative configurations, by granting prompt transitions to more convenient placements as business values and costs change dynamically. We deeply assessed our framework in a realistic scenario that consists of 2-tier service architectures with real-world pricing schemes. Collected results show the effectiveness and quantify the overhead of our solution. The results also demonstrate the suitability of business-driven IT management techniques for service components placement and reconfiguration in highly dynamic and distributed Cloud systems
A Multicloud Observability Support Based on ElasticSearch for Cloud-native Smart Cities Services
Full text linkEffective communication and information sharing among different districts and cities are crucial for the management of utility flows, traffic, and emergencies in smart cities. In this scenario, a smart city requires cloud-native solutions to collect and analyze data from various sources, including traffic sensors and public transport vehicles. Thus, a multicloud observability approach is proposed to aggregate data from different localities. The solution aims to provide a complete suite for observability capable of collecting data across layers of a multicloud and integrating already existing open-source projects. Like what you’re reading
Performance evaluation of communications in distributed systems and web based service architectures
No full textPerformance evaluation is still a topic that attains a lot of attention in both distributed and mobile systems as well as web based services architectures. Due to the recent advances in internet based applications as well as distributed and mobile communication systems, we are witnessing a variety of new technologies. However,these systems are becoming very large and complex at the same time. Several challenges remain to be resolved before these systems become a commodity. Guaranteeing Quality of Service (QoS)and provisioning of web-based systems as well as distributed and mobile systems and evaluating their communication performance represent among the challenging problem in the design of these systems. Quantitative analysis can be very difficult and may be intractable because of the state space explosion. New methods and tools have recently emerged for these kinds of complex systems,such as Stochastic Automata Networks, Stochastic bounds, and so forth
A Survey on the Use of Lightweight Virtualization in I4.0 Manufacturing Environments
Full text linkOver the past decade, in the industrial sector we have witnessed the rise of a revolutionary movement, known as Industry 4.0, that promotes the digital transformation as the key to increase the competitiveness of manufacturing factories. Among the many technologies recognized as "drivers" of such revolutionary transition, microservices stand out as a software development paradigm capable of bringing several benefits to the manufacturing process. Whilst the literature offers many examples of initiatives exploiting microservices in digitally-advanced sectors (e.g., finance, telecommunication, retailing), its potential in the industrial manufacturing is yet to be fully unleashed. We conducted an extensive literature survey in the twofold aim of bringing to the reader's attention the many benefits that the microservices paradigm may offer in industrial manufacturing settings, and drawing a picture of how light virtualization techniques are actually being exploited to achieve Industry 4.0 digitization goals. In this paper, we propose a structured analysis of the collected literature proposals which combines the benefits sought by authors when approaching to the microservices techniques and the specific scope of application of proposals. We conclude the paper highlighting the research aspects that have not been sufficiently explored in the literature and that would deserve further attention in the near future
Crowdsensing with Social Network-Aided Collaborative Trust Scores
No full textCrowdsensing has appeared as a viable solution for data gathering in many applications with the advent of three emerging paradigms, namely Internet of Things, cloud computing, and mobile social networks. Built-in sensors in mobile devices can leverage the performance of the IoT applications in terms of energy and communication overhead savings by sending their data to the cloud servers. When crowdsensing is used for critical applications such as disaster/crisis management and/or public safety in the context of a smart city, trustworthiness of the collected data occurs as a crucial concern. In this paper, we propose using social network theory to evaluate trustworthiness of crowdsensed data, as well as the mobile devices that provide sensing services. To this end, we combine centralized reputation- based evaluation with collaborative reputation values based on votes and vote capacities. We model each participant as a node in a social network where nodes are inter-connected through their interaction values. Interaction stands for being assigned common sensing tasks. We evaluate the performance of our proposal through simulations, and show that use of social network theory-based crowdsensing with combined reputation formulation significantly improves the utility of the crowdsensing platform while dramatically reducing the manipulation probability of malicious nodes
Implementing and evaluating V2X protocols over iTETRIS: Traffic estimation in the COLOMBO project
No full textImproving the efficiency of urban vehicular mobility, also via the optimized management of the dynamic behavior of traffic lights with limited infrastructure investments and limited operational costs, is widely recognized as a crucial goal for smart cities, capable of relevant economic impacts in terms of travel time/cost reduction and better sustainability. Within this context, in the framework of the ongoing EU FP7 COLOMBO project, we are investigating, developing, and thoroughly evaluating innovative locality-based vehicular cooperation protocols for the determination of traffic characteristics in proximity of intersections, with no need for communication towards global data collection centers. One of the specific and original goals in COLOMBO is to achieve reasonable and sufficiently accurate traffic estimations with limited penetration rates of actively participating vehicles equipped with differentiated V2X capabilities (full-fledged V2X-enabled cars but also vehicles with only onboard smartphones). In this paper, we specifically focus on our recent research work of implementation and evaluation of our protocols on top of the iTETRIS simulation platform, a state-of-the-art integrated platform resulted from the synergic interworking of the ns-3 network and the SUMO vehicular mobility simulators. In particular, here we originally describe how to effectively and efficiently implement V2X protocols on iTETRIS, as well as lessons learned from our practical experience of deployment, evaluation, and protocol/iTETRIS fine-tuning. The reported simulation results (obtained through realistic simulations based on real traffic traces and the real road topology of the city of Bologna) show the feasibility of the proposed approach also with very limited penetration rates
Proximity discovery and data dissemination for mobile crowd sensing using LTE direct
No full textThe pervasive and mass-market usage of smartphones and the huge amount of information that those devices with their sensors can detect or produce are enabling novel and unforeseen smart city sensing opportunities through the so-called Mobile Crowd Sensing (MCS) paradigm. MCS aims to involve volunteering citizens in data sensing activities as they roam across the city. Notwithstanding the intense recent research activity in the MCS field, current MCS platforms still exhibit some technological limitations and do not exploit at best socio-technical mechanisms (e.g., economic/social incentives) to facilitate and encourage usersâ participation. In this perspective, the recent evolution of direct Device-to-Device (D2D) communications, in particular novel proximity discovery technologies, represents a relevant opportunity for MCS frameworks. This paper proposes a novel solution for improving the MCS impact and citizensâ participation rate by leveraging LTE Direct, i.e., one of the most recent and promising technologies for D2D proximity discovery and local data dissemination in next generation 5G networks. Our original MCS extension supports not only novel interactions with smartphones that do not necessarily host our whole MCS client (only an LTE Direct-enabled sensing module is required), but also enables new Internet of Things (IoT) scenarios where it is possible to extend smartphone sensing capabilities through D2D interactions with sensors that are dynamically determined via LTE Direct proximity discovery. To enable these new MCS features, we propose to expand the communication and data dissemination capabilities of LTE Direct via an original multi-frame transport protocol, capable of working properly also in ultra-dense scenarios with very high frame loss probability
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