Service mashups represent an appealing business opportunity for companies since value added applications can be provided to fulfill clients' needs by integrating their services withthe ones available on the Inter...
详细信息
ISBN:
(纸本)9783319615660;9783319615653
Service mashups represent an appealing business opportunity for companies since value added applications can be provided to fulfill clients' needs by integrating their services withthe ones available on the Internet accessible according to standard Web Services technologies. Clients' needs are usually expressed in terms of a required functionality that can be obtained as a mashup application, together with specified QoS requirements referring to non-functional characteristics of the application, such as price, time, reliability. In order to make this opportunity a reality, mechanisms allowing for automatic selection and composition of services are necessary to avoid human intervention in the composition process. Here, a framework for automatic mashup of Cloud services taking into account QoS users' preferences, is presented. It relies on both AI planning techniques for automatic service composition, and software agent negotiation to select a composition that meets the specified QoS preferences. It allows for a dynamic QoS-based mashup of services since the QoS values provided for the single services in the composition are not fixed, but they could vary according to the providers' strategy. the proposed approach can be applied when services are provided in the context of a competitive market of service providers.
the proceedings contain 19 papers. the special focus in this conference is on applications and Techniques in Information Security. the topics include: Cloud computing resource scheduling optimization based on chaotic ...
ISBN:
(纸本)9789811329067
the proceedings contain 19 papers. the special focus in this conference is on applications and Techniques in Information Security. the topics include: Cloud computing resource scheduling optimization based on chaotic firefly algorithm based on the tent mapping;an optimized parallel algorithm for exact string matching using message passing interface;research on algorithms for planted (l,d) motif search;joint subspace learning and sparse regression for feature selection in Kernel space;adaptive graph learning for supervised low-rank spectral feature selection;a tree based approach for concept maps construction in adaptive learning systems;active multivariate matrix completion;model of decision making for agents based on relationship coefficient;emotion recognition in a conversational context;machine learning based electronic triage for emergency department;multi-user order preserving encryption scheme in cloud computing environments;Dynamic memory allocation of embeddedreal-time operating system based on TLSF;Enhanced authentication and key agreement mechanism using PKI;information abuse in twitter and online social networks: A survey;Location privacy protection for sink node in WSN based on K anonymous false packets injection;sentiment analysis to enhance detection of latent astroturfing groups in online social networks;visual attention and memory augmented activity recognition and behavioral prediction.
Nowadays, many embeddedsystems consist of a mix of control applications and soft real-time tasks. this paper studies how to ensure the worst-case quality of control for control applications under disturbances while p...
详细信息
ISBN:
(纸本)9781509049066
Nowadays, many embeddedsystems consist of a mix of control applications and soft real-time tasks. this paper studies how to ensure the worst-case quality of control for control applications under disturbances while providing maximal resource to soft real-time tasks. To solve this problem, we propose a mixed-criticality control system model in which the tasks can switch between two operating modes, LO and HI, according to controlled plant states. In HI mode, the worst-case qualities of control to plants are guaranteed, while in LO mode, system resources are balanced between two classes of tasks. We compare our approach with other two approaches in the literature. Case study results demonstrate the effectiveness of our system model.
Floating Content (FC) is an infrastructure-less communication paradigm based on opportunistic replication of a piece of content in a geographically constrained location and for a limited amount of time. the fact that ...
详细信息
ISBN:
(纸本)9783319615424;9783319615417
Floating Content (FC) is an infrastructure-less communication paradigm based on opportunistic replication of a piece of content in a geographically constrained location and for a limited amount of time. the fact that it does not rely on any infrastructure makes it appealing for all those settings where infrastructure is not available or malfunctioning. In this paper we analyze its feasibility in the aftermath of a disaster, as a communication service in support of applications for rescue coordination and situational awareness. We analyze the possible scenarios of disaster, with a special focus on the local context (Iceland in our case), and on a subset of disasters which are of economic and social interests. We characterize the available communication network, its structure, and we individuate some criticalities which could play a key role in case of disaster. Specifically, we consider two services, related to two disaster scenarios. A first one is a form of situation awareness, without the support of fixed communication infrastructure. A second service is a form of infrastructure-less social driving application. the exchange of information between vehicles in the vicinity of a region interested by a disaster, enabled by such app, could help mitigate the impact of disasters and hazardous conditions on vehicle traffic. For both services, we describe a possible implementation using Floating Content. Finally, for these scenarios, we identify some research issues which stand in the way of a realistic, practical implementation based on FC.
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted in time can cause functional impairment in an elder and a significant decrease in his mobility, independence and life qu...
详细信息
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted in time can cause functional impairment in an elder and a significant decrease in his mobility, independence and life quality. In that sense, the present work proposes an innovative IoT-based system for detecting falls of elderly people in indoor environments, which takes advantages of low-power wireless sensor networks, smart devices, big data and cloud computing. For this purpose, a 3D-axis accelerometer embedded into a 6LowPAN device wearable is used, which is responsible for collecting data from movements of elderly people in real-time. To provide high efficiency in fall detection, the sensor readings are processed and analyzed using a decision trees-based Big Data model running on a Smart IoT Gateway. If a fall is detected, an alert is activated and the system reacts automatically by sending notifications to the groups responsible for the care of the elderly people. Finally, the system provides services built on cloud. From medical perspective, there is a storage service that enables healthcare professional to access to falls data for perform further analysis. On the other hand, the system provides a service leveraging this data to create a new machine learning model each time a fall is detected. the results of experiments have shown high success rates in fall detection in terms of accuracy, precision and gain. (C) 2018 the Authors. Published by Elsevier B.V.
the collaborative learning paradigm offers one of the most solid approaches to increase the participation, interest and knowledge level of pupils (typical achieving and/or learning disabled students) during the educat...
详细信息
ISBN:
(纸本)9783319751757;9783319751740
the collaborative learning paradigm offers one of the most solid approaches to increase the participation, interest and knowledge level of pupils (typical achieving and/or learning disabled students) during the educational process. Recent advances in the field have offered a plethora of tools to facilitate collaboration during school time. Nevertheless, the possibility of applying the collaborative learning principles together with personalized exercise/project assignments (whenever deemed necessary) during off school hours is often overlooked. Motivated by the fact that most pupils/students nowadays have access to smart mobile devices, e. g., tablets, in this paper a system architecture (Mobivoke) is proposed that enables the coupling of individual devices into a social group and offers the means to build applications for orchestrating and monitoring the off school learning process in a collaborative manner.
Cloud computing can be used to provide a virtualized platform for running various services, including soft real-timeapplications such as video streaming. To satisfy an application's real-time requirements, CPU re...
详细信息
Cloud computing can be used to provide a virtualized platform for running various services, including soft real-timeapplications such as video streaming. To satisfy an application's real-time requirements, CPU resources are often allocated for the worst case, resulting in system under-utilization or overpaying to the cloud provider under the pay-as-you-go model. To solve this problem, we present Pacer, a framework that provides application developers a platform to implement custom virtual machine-level resource allocation algorithms that utilize real-time application-specific performance feedback from applications running in virtual machines. We also present two example resource allocation algorithms for Pacer that are based on additive-increase-multiplicative-decrease and self-tuning PID control. We apply Pacer to video stream object detection applications to show that Pacer can save more than 50% CPU utilization and use CPU resources more efficiently, while still meeting deadlines for real-timeapplications.
Nowadays students are surrounded by plenty of information resources and they use these multimedia streams parallel. this multitask working environment appears during lessons as well. this hyper attention symptom block...
详细信息
ISBN:
(纸本)9783030027506;9783030027490
Nowadays students are surrounded by plenty of information resources and they use these multimedia streams parallel. this multitask working environment appears during lessons as well. this hyper attention symptom blocks students in the effective participating of the common work. therefore more and more ICT tools appear and are used in schools from elementary schools to higher education. One of these possibilities is CRS (Classroom Response System) of which benefits are undoubted. their usage makes lessons more diversified, more motivating for students who are used to and prefer to use applications and smart devices, more interactive. However we must not forget about the disadvantages either so in this paper we should like to give a look around this topic, present our own newly developed CRS system and speak about how we can use it in teachers training.
the problem of schedulability analysis, i.e., determining whether a given task set meets its deadline constraints, has been extensively studied in the real-timesystems literature. However, if a task set is not schedu...
详细信息
the problem of schedulability analysis, i.e., determining whether a given task set meets its deadline constraints, has been extensively studied in the real-timesystems literature. However, if a task set is not schedulable, then the schedulability analysis results using known techniques (such as utilization-based tests) offer little insight into which task parameters could be changed or refined, in order to make the task set schedulable. To address this problem, we encode the schedulability analysis problem as an equivalent model checking problem. By analyzing the counterexamples reported by the model checker, we discover subsets of values of task parameters that lead to timing violations. We propose a procedure that iteratively refines the task specification by rejecting these subsets, thereby converging towards schedulability. We believe that this approach would be useful for timing debugging of real-timesystems, which has received relatively less attention in the literature, especially given its practical relevance.
this paper presents a study where real-time hybrid testing is used to emulate a moored barge. the barge is modelled physically while the mooring forces are simulated numerically and actuated onto the physical substruc...
详细信息
this paper presents a study where real-time hybrid testing is used to emulate a moored barge. the barge is modelled physically while the mooring forces are simulated numerically and actuated onto the physical substructure. Assuming no errors in modelling of the numerical substructure, we investigate what separates the instantaneous forces acting on the physical substructure, from the forces that would be acting on it in the ideal, non-substructured case that we are trying to replicate. Four different types of errors are identified, discussed, and partly quantified. (C) 2018, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
暂无评论