The design of the distributed Decentralized Storage Platform (DDSP) requires to develop an efficient data validation method taking into account the network scalability issue, possibility to check data without knowledg...
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Data distribution is a key technology for resources convergence and sharing in distributed environment. To better meet the requirement for realtime data distribution in the dynamic network, a trace routing algorithm ...
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After three highly successful editions of the Internet-QoE workshop organized at ACM SIGCOMM 2016, ACM SIGCOMM 2017, and IEEE ICDCS 2018, the goal of the fourth edition of the Internet-QoE workshop is to scale the con...
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ISBN:
(纸本)9781450361699
After three highly successful editions of the Internet-QoE workshop organized at ACM SIGCOMM 2016, ACM SIGCOMM 2017, and IEEE ICDCS 2018, the goal of the fourth edition of the Internet-QoE workshop is to scale the concepts of Quality of Experience (user satisfaction, user engagement, and behavioral analysis) out of the lab studies context and bring it to the analysis and operation of distributedsystems and communication networks, giving a user-centric perspective to the research performed by the MOBICOM community. By fostering an explicit and deep integration of the end-user directly into the design, analysis and management of large-scale operational networks, we expect to reduce the gap between QoE research and its application to future network management paradigms, as well as to provide a more targeted end-user perspective to the research on distributed communication systems. The 4th edition of Internet-QoE also focuses on novel end-user services enabled by next generation technologies such as immersive media (3D, Virtual reality and Augmented reality), self-driving cars, intelligent manufacturing systems, Industry 4.0 and tactile Internet, 5G ultra-low-latency mobile networks, and real-time applications.
In this work, a distributed hierarchical demand response (DR) scheme for residential customers is introduced, which attempts optimizing power usage of a variety of appliances for many customers in a parallel and effic...
ISBN:
(数字)9781728193847
ISBN:
(纸本)9781728193854
In this work, a distributed hierarchical demand response (DR) scheme for residential customers is introduced, which attempts optimizing power usage of a variety of appliances for many customers in a parallel and efficient fashion. The DR scheme makes use of a `service provider' (SP) model which would sit in various levels of the power system in a hierarchical manner, optimizing DR load at each level by scheduling energy for the lower levels. At the lowest level, SP would use a direct load control method to schedule the customer appliances. Models are developed to quantify the discomfort levels to the customer as well as to quantify demand response targets for the utility. Since the utility targets and customer comfort targets are often conflicting, SP would attempt to schedule energy usage such that a common ground is reached between them. A Differential Evolution based solving method is proposed to carry out the optimization for the SP. The solution is simulated for many customers and the results are reported.
The proceedings contain 198 papers. The topics discussed include: a novel current sharing method by grouping transformer"s secondary windings for multi-phase LLC resonant converter;design of controller based on A...
ISBN:
(纸本)9781728124551
The proceedings contain 198 papers. The topics discussed include: a novel current sharing method by grouping transformer"s secondary windings for multi-phase LLC resonant converter;design of controller based on ADRC strategy for three-phase UPS;a single-carrier PWM method for multilevel converters;an interleaved boost converter with parallel input and output series for renewable energy system;control strategy of three-phase four-wire three-leg inverters;distributed cooperative control for multiple DC electric springs with novel topologies applied in DC microgrid;real-time models of advanced energy conversion systems for large-scale integration studies;ripple energy buffer for microgrid connected hydrogen energy storage system;and modeling and studies of the two-winding three-phase permanent magnetic synchronous generator of offshore wind turbines.
With the gradual increase of the penetration rate of new energy, the cyber physical system paves a new way for realtime dispatch, rational planning and effective utilization of new energy. This paper establishes a dy...
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Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these deta...
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Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase the reliability or performance of their applications, they would need solutions to detect behavioural changes in the underlying system. Existing runtime solutions for such purposes offer limited capabilities as they are mostly restricted to revealing weekly or yearly behavioural periodicity in the infrastructure. This article proposes a technique for predicting generic background workload by means of simulations that are capable of providing additional knowledge of the underlying private cloud systems in order to support activities like cloud orchestration or workflow enactment. Our technique uses long-running scientific workflows and their behaviour discrepancies and tries to replicate these in a simulated cloud with known (trace-based) workloads. We argue that the better we can mimic the current discrepancies the better we can tell expected workloads in the near future on the real life cloud. We evaluated the proposed prediction approach with a biochemical application on both real and simulated cloud infrastructures. The proposed algorithm has shown to produce significantly (similar to 20%) better workload predictions for the future of simulated clouds than random workload selection.
IEEE 802.1 time-sensitive Networking (TSN) enables real-time communication with deterministically bounded network delay and jitter over standard IEEE 802.3 networks ('Ethernet'). In particular, TSN specifies a...
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Given the vast number of data processing systems available today, in this paper, we aim to identify, select, and evaluate systems to determine the one that is better suited to use in conducting time series analysis. P...
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Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against ...
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ISBN:
(纸本)9781728156132
Massive individuals identification is a challenging problem in modern society. Particularly, finger-vein recognition is an emerging biometric technique with several advantages, especially in terms of security against forgery. In this paper, we propose a hybrid parallel matching process for finger-vein recognition under two different parallel platforms, by using the Local Line Binary Pattern descriptor and Hamming distance. Our proposal aims to reduce the computation time of the matching process for massive individuals identification by using finger-vein patterns. Extensive evaluation shows that our approach obtains a high speed-up under a multi-core platform and a close to linear behavior for a multi-node platform. The results with our hybrid parallel system show that it is suitable for real-time individuals identification, achieving a speed-up up to 129.98x. To the best of our knowledge, our work is the first implementation of finger-vein recognition under a parallel platform, which is the main contribution of this paper.
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