Search Results - "Dou, Wanchun"
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A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data
Published in IEEE journal on selected areas in communications (01-11-2017)“…To maximize the economic benefits, a cloud service provider needs to recommend its services to as many users as possible based on the historical user-service…”
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Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey
Published in IEEE Communications surveys and tutorials (01-01-2020)“…Millions of sensors continuously produce and transmit data to control real-world infrastructures using complex networks in the Internet of Things (IoT)…”
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3
Networking for Big Data: A Survey
Published in IEEE Communications surveys and tutorials (2017)“…Complementary to the fancy big data applications, networking for big data is an indispensable supporting platform for these applications in practice. This…”
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4
KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications
Published in IEEE transactions on parallel and distributed systems (01-12-2014)“…Service recommender systems have been shown as valuable tools for providing appropriate recommendations to users. In the last decade, the amount of customers,…”
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5
HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications
Published in IEEE transactions on parallel and distributed systems (01-02-2015)“…Cloud computing promises a scalable infrastructure for processing big data applications such as medical data analysis. Cross-cloud service composition provides…”
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6
Wireless Charger Placement for Directional Charging
Published in IEEE/ACM transactions on networking (01-08-2018)“…Wireless power transfer technology has witnessed huge development because of its convenience and reliability. This paper concerns the fundamental issue of…”
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7
EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment
Published in IEEE transactions on cloud computing (01-04-2016)“…Scientific workflows are often deployed across multiple cloud computing platforms due to their large-scale characteristic. This can be technically achieved by…”
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8
Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion Batteries
Published in IEEE transactions on industrial electronics (1982) (01-03-2016)“…Traditional fault diagnosis and prognosis (FDP) approaches are based on periodic sampling, i.e., samples are taken and algorithms are executed both in a…”
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Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment
Published in Complexity (New York, N.Y.) (01-01-2017)“…With the increasing volume of web services in the cloud environment, Collaborative Filtering- (CF-) based service recommendation has become one of the most…”
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Weighted principal component analysis-based service selection method for multimedia services in cloud
Published in Computing (01-01-2016)“…Cloud computing has rendered its ever-increasing advantages in flexible service provisions, which attracts the attentions from large-scale enterprise…”
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Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment
Published in Mobile networks and applications (01-12-2021)“…With the popularization of smart devices and the rapid development of Internet of Things (IoT), location-based social networks (LBSNs) are growing rapidly. As…”
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An Exception Handling Approach for Privacy-Preserving Service Recommendation Failure in a Cloud Environment
Published in Sensors (Basel, Switzerland) (26-06-2018)“…Service recommendation has become an effective way to quickly extract insightful information from massive data. However, in the cloud environment, the quality…”
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13
Big data challenges and opportunities in the hype of Industry 4.0
Published in 2017 IEEE International Conference on Communications (ICC) (01-05-2017)“…The world of industrial automation technology is at the outset of a new era of innovation with the hype of Industry 4.0. Global modern industrial system…”
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Conference Proceeding -
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AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction
Published in Sensors (Basel, Switzerland) (16-02-2024)“…Traffic congestion prediction has become an indispensable component of an intelligent transport system. However, one limitation of the existing methods is that…”
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15
Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting
Published in IEEE access (01-01-2018)“…The continuous growth of mobile devices in recent years has created a variety of opportunities for people to utilize the crowdsourcing technique to execute…”
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Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud
Published in IEEE transactions on computers (01-08-2015)“…Cloud computing provides promising scalable IT infrastructure to support various processing of a variety of big data applications in sectors such as healthcare…”
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17
Data security over wireless transmission for enterprise multimedia security with fountain codes
Published in Multimedia tools and applications (01-04-2020)“…With the explosive growth of multimedia data, Enterprise Multimedia Security (EMS) is a serious matter to maintain enterprise information security. As the rise…”
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18
A Pareto optimal Bloom filter family with hash adaptivity
Published in The VLDB journal (01-05-2023)“…Bloom filter is a compact memory-efficient probabilistic data structure supporting membership testing, i.e., to check whether an element is in a given set…”
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A Decentralized Cloud Firewall Framework with Resources Provisioning Cost Optimization
Published in IEEE transactions on parallel and distributed systems (01-03-2015)“…Cloud computing is becoming popular as the next infrastructure of computing platform. Despite the promising model and hype surrounding, security has become the…”
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20
Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis
Published in IEEE transactions on automation science and engineering (01-10-2017)“…In the past decades, fault diagnosis and prognosis (FDP) approaches were developed in the Riemann sampling (RS) framework, in which samples are taken and…”
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Journal Article