1,720,997 research outputs found
Earthquake Emergencies Management by Means of Semantic-Based Internet of Things
No full textSemantic technologies can play a key role in representing,
storing, interconnecting, searching, and organizing information generated/consumed by things. In order to evaluate its feasibility, this paper
presents a set of reasoning mechanisms based on an IoT ontology to be
applied in an emergency management scenario. The scenario presented
in this paper consists in the earthquake emergency management
A semantic-based federated cloud system for emergency response
No full textCloud federation can be described through the concept of collaboration, where each organization has its own cloud(s) that deals with a different and independent domain but needs to work together with other organizations in order to fulfill a specific shared objective. According to this perspective, the federation is a collection of interacting clouds that collaborate with one another through the instantiation and management of shared subsets of resources (computation and storage resources as well as sensors and actuators). This idea could be profitably used in those scenarios in which different organizations have to share several resources (e.g., emergency response or disaster management scenario). On the other hand, when different independent organizations share their resources, several issues arise. One of them is related to interoperability problems. As a consequence, this work also introduces a framework for an ontology-based resource life cycle management and provisioning in a federated cloud infrastructure. Therefore, The main contributions of this work consists of redesigning a cloud infrastructure architecture from the ground up, leveraging Semantic Web and Semantic Web Service Technologies, and natively supporting a federated provisioning of any kind of resource. This paper exploits, as a motivating scenario, a flood emergency response system
New advances in High Performance Computing and simulation: Parallel and distributed systems, algorithms, and applications
No full textAdvanced technologies and systems for collaboration and computer supported cooperative work
No full textThe recent developments in web technologies, pervasive and ubiquitous systems and networks, cloud and highly distributed computing systems, and the availability of massive amounts of data have changed the field of computer supported collaboration, particularly with the emergence of new capabilities and forms of collaboration both locally and remotely. These developments and capabilities present new challenges and issues as well. The purpose of this special issue on Advanced Technologies and Systems for Collaboration and Computer Supported Cooperative Work is to discuss cutting-edge research in the field of collaboration technologies and systems. The core contributions in this special issue are based on substantially extended versions of the most relevant manuscripts of the 2016 International Conference on Collaboration Technologies and Systems (CTS 2016). In this editorial, we also provide some observations from the last 10 years of CTS conferences in order to identify the major research areas covered by the papers that have been presented. The highlights and comments are presented in a chronological order and from a comparative perspective, along with a discussion of several research trends which may shape up the next decade in this important subject matter
High‐performance computing: to boldly go where no human has gone before
No full textInternational audienceComputing and computational science are well on their way to enter into the exascale era while High Performance Computing (HPC) is now present in many spheres and domains of modern society. New technologies such as cloud computing, big data, and connected objects open many perspectives and possibilities that were unattainable until now. These are high times for computing and for HPC in particular. The High Performance Computing \& Simulation conference aims to bring together researchers working on various aspects of HPC, their design and use, and their applications. As has been the conference tradition, selected extended papers of HPCS 2012 are presented in this special issue. These should be interesting contributions that supplement the current state-of-the-art research in HPC. To relate these works and highlight their value, in this article, we briefly trace back the history of HPC, sketch the state of the present research and development in the field, and project some of the challenges and future trends anticipated
Adaptive root cause analysis for self-healing in 5G networks
No full textRoot cause analysis (RCA) is a common and recurring task performed by operators of cellular networks. It is done mainly to keep customers satisfied with the quality of offered services and to maximize return on investment (ROI) by minimizing and where possible eliminating the root causes of faults in cellular networks. Currently, the actual detection and diagnosis of faults or potential faults is still a manual and slow process often carried out by network experts who manually analyze and correlate various pieces of network data such as, alarms, call traces, configuration management (CM) and key performance indicator (KPI) data in order to come up with the most probable root cause of a given network fault. In this paper, we propose an automated fault detection and diagnosis solution called adaptive root cause analysis (ARCA). The solution uses measurements and other network data together with Bayesian network theory to perform automated evidence based RCA. Compared to the current common practice, our solution is faster due to automation of the entire RCA process. The solution is also cheaper because it needs fewer or no personnel in order to operate and it improves efficiency through domain knowledge reuse during adaptive learning. As it uses a probabilistic Bayesian classifier, it can work with incomplete data and it can handle large datasets with complex probability combinations. Experimental results from stratified synthesized data affirmatively validate the feasibility of using such a solution as a key part of self-healing (SH) especially in emerging self-organizing network (SON) based solutions in LTE Advanced (LTE-A) and 5G.</p
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