2021 IEEE International Conference on Web Services (ICWS)最新文献_第2页

A Holistic Service Provision Strategy for Drone-as-a-Service in MEC-based UAV Delivery 基于mec的无人机配送中无人机即服务的整体服务提供策略

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00092

Liju Chu, Xuejun Li, Jia Xu, A. Neiat, Xiao Liu

{"title":"A Holistic Service Provision Strategy for Drone-as-a-Service in MEC-based UAV Delivery","authors":"Liju Chu, Xuejun Li, Jia Xu, A. Neiat, Xiao Liu","doi":"10.1109/ICWS53863.2021.00092","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00092","url":null,"abstract":"With the rapid growth of Internet of Things (IoT), Mobile Edge Computing (MEC) is becoming the major platform for many smart systems such as smart logistics, smart healthcare, and smart transportation, given its lower latency and higher reliability compared with centralized cloud computing. There is a growing interest in Drone-as-a-Service in recent years which enables the MEC-based smart UAV delivery system. However, most existing works on Drone-as-a-Service focus on the static service composition or the dynamic service provisioning, rather than a holistic service provisioning strategy for the entire UAV delivery process. In this paper, we propose a holistic service provisioning strategy for Drone-as-a-Service in MEC-based UAV delivery to address such an issue. Specifically, a MEC-based UAV relay delivery system framework (RDS) is designed, which considers both the static stage for provisioning delivery services and the dynamic stage for provisioning computing services. Based on the service models for both static and dynamic stages, an energy-efficient service provision strategy (ESP-GA) for MEC-based UAV last-mile delivery is proposed, which aims to minimize the overall energy consumption under deadline constraints. Through the simulation experiments based on a prototype UAV delivery system, the experimental results have successfully demonstrated the superior performance of the proposed holistic strategy in comparison with several representative service provisioning strategies.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126624724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Trust Management for Reliable Cross-Platform Cooperation Based on Blockchain 基于区块链的跨平台可靠合作信任管理

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00084

Chao Wang, Shizhan Chen, Shiping Chen, Xiao Xue, Hongyue Wu, Zhiyong Feng

引用次数: 3

Alleviating the Matthew Effect in O2O Service Matching Process 缓解O2O服务匹配过程中的马太效应

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00034

Yuying Yang, Xiao Xue, Fozhi Hou, Shizhan Chen, Zhiyong Feng, Lejun Zhang

引用次数: 1

Mixed Priority Queue Scheduling Based on Spectral Clustering in Spatial Crowdsourcing 空间众包中基于谱聚类的混合优先级队列调度

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00047

Yue Ma, Ru-Fen Ni, Xiaofeng Gao, Guihai Chen

{"title":"Mixed Priority Queue Scheduling Based on Spectral Clustering in Spatial Crowdsourcing","authors":"Yue Ma, Ru-Fen Ni, Xiaofeng Gao, Guihai Chen","doi":"10.1109/ICWS53863.2021.00047","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00047","url":null,"abstract":"With the ubiquity of GPS-enabled smart devices equipped with high-fidelity sensors and increased availability of the wireless network, spatial crowdsourcing has been recently proposed as a general framework to employ smart device carriers as workers to provide services and perform location-sensitive tasks. In this paper, we focus on the task assignment in spatial crowdsourcing, which aims to find the optimal strategy to assign each task to a proper worker such that the total number of completed tasks is maximized and the traveling time cost is minimized, while the workers can return to their initial locations before deadlines after performing the assigned tasks. Finding the optimal global assignment turns out to be intractable since it does not simply imply optimality for an individual worker, as a typical nearest-neighbor heuristic does not render a satisfactory result in general. In spatial crowdsourcing, we model the task assignment problem as a multiple objective joint optimization problem, which focuses on maximizing accomplished task rate and minimizing travel time cost rate simultaneously, and solves it with a mixed priority queue scheduling algorithm. We also introduce a spectral clustering algorithm in spatial crowdsourcing for the first time to divide the task network into different subdomains, considering the task clustering phenomena in real scenarios. Experiments on synthetic and real-world networks demonstrate the efficiency and effectiveness of our method in the task assignment of spatial crowdsourcing and provide insights into its application in practice.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123767738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

GHTRec: A Personalized Service to Recommend GitHub Trending Repositories for Developers GHTRec:为开发者推荐GitHub趋势库的个性化服务

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00049

Yuqi Zhou, Jiawei Wu, Yanchun Sun

引用次数: 6

Data & Computation-Intensive Service Re-Scheduling In Edge Networks 边缘网络中数据和计算密集型服务的重新调度

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00058

Xiaocui Li, Zhangbing Zhou, Zhuofeng Zhao, Sami Yangui, Wenbo Zhang

{"title":"Data & Computation-Intensive Service Re-Scheduling In Edge Networks","authors":"Xiaocui Li, Zhangbing Zhou, Zhuofeng Zhao, Sami Yangui, Wenbo Zhang","doi":"10.1109/ICWS53863.2021.00058","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00058","url":null,"abstract":"The collaboration of Internet of Things (IoT) devices is promising nowadays to achieve complex requests in edge networks. In this setting, the functionalities of IoT devices are usually encapsulated as IoT services. A request can be fulfilled by the composition of data- or computation-intensive IoT services, which require to either consume a relatively large amount of sensory data or mandate a heavy computation capacity. Discovering functionally complementary IoT services, while satisfying their pre-specified spatial constraints, is a challenge, since certain IoT services may non-exist with respect to current IoT services deployment situation. To remedy this issue, we propose an energy-aware Data- and Computation-intensive service Migration and Scheduling mechanism (DCMS) to re-schedule certain services from their hosting devices to the ones within the geographical region prescribed by the request. Extensive experiments are conducted and evaluation results show that our DCMS is promising in reducing the energy consumption and average delay, in comparison with the state of the art's techniques.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

MinerRepu: A Reputation Model for Miners in Blockchain Networks MinerRepu:区块链网络中矿工的声誉模型

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00100

Akram Alofi, R. Bahsoon, R. Hendley

{"title":"MinerRepu: A Reputation Model for Miners in Blockchain Networks","authors":"Akram Alofi, R. Bahsoon, R. Hendley","doi":"10.1109/ICWS53863.2021.00100","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00100","url":null,"abstract":"Blockchain technology holds several promises for many application areas; however, it is not without its limitations. One of the most significant weaknesses of blockchain technology is its substantial energy consumption. Many researchers have proposed solutions to reduce the energy demands of this technology - such as the use of alternative consensus algorithms and the use of renewable energy. However, the use of alternative trust and reputation models to improve sustainability (by, for instance, selecting miners based on these trust or reputation values) has not been widely investigated. In this paper, we propose a reputation model that quantifies and compares the trustworthiness of miners based on their behaviours within a blockchain network. The model is evaluated analytically and compared to other trust and reputation models for miners. The evaluation shows that our model fulfils several desirable properties that should always be satisfied by reputation models, whereas other models do not always meet these requirements. In addition, we perform experimental evaluations to represent the performance of our model and its accuracy in detecting malicious miners. We also report the effectiveness of using the model in reducing the energy consumption of blockchain-based systems.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Alliance-Aware Service Composition with Efficient Matching Search 基于高效匹配搜索的联盟感知服务组合

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00060

Yanmei Zhang, Chong Zhu, Xiaoyi Tang, Hengyue Jia, Xiuli Wang

引用次数: 0

Optimal User Migration upon Server failures in Edge Computing Environment 边缘计算环境下服务器故障时的最优用户迁移

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00045

Wei Du, Qiang He, Yuan-Xia Ji, Chenran Cai, Xiaoyong Zhao

{"title":"Optimal User Migration upon Server failures in Edge Computing Environment","authors":"Wei Du, Qiang He, Yuan-Xia Ji, Chenran Cai, Xiaoyong Zhao","doi":"10.1109/ICWS53863.2021.00045","DOIUrl":"https://doi.org/10.1109/ICWS53863.2021.00045","url":null,"abstract":"In the edge computing environment, edge servers are geographically distributed around end-users to provide highly accessible and efficient computing capacities and services. At runtime, edge servers are subject to failures for various reasons, e.g., hardware failures, system overloaded, cyber attacks. When an edge server fails, the end-users on the edge sever, i.e., edge users, must be migrated to nearby edge servers to ensure service delivery. An optimal migration strategy must maximize the number of migrated end-users while ensuring low latency for end-users. In the meantime, the service deployment cost, i.e., the cost of deploying services required by migrated end-users, must be considered. In this paper, we model the edge user migration (EUM) problem upon server failures as an Integer Programming problem, and introduce a novel, optimal approach for solving the EUM problem. We also propose a heuristic approach for finding sub-optimal solutions efficiently to large-scale scenarios. The results of experiments conducted on a real-world dataset demonstrate that our approaches significantly outperform two representative baseline approaches.","PeriodicalId":213320,"journal":{"name":"2021 IEEE International Conference on Web Services (ICWS)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121380352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Deserv: Decentralized Serverless Computing Deserv:分布式无服务器计算

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-09-01 DOI: 10.1109/ICWS53863.2021.00020

S. Christie V, A. Chopra, Munindar P. Singh

引用次数: 4