Huiying Jin, Pengcheng Zhang, Hai Dong, Yuelong Zhu, A. Bouguettaya
{"title":"Privacy-Aware Forecasting of Quality of Service in Mobile Edge Computing","authors":"Huiying Jin, Pengcheng Zhang, Hai Dong, Yuelong Zhu, A. Bouguettaya","doi":"10.1109/SERVICES55459.2022.00031","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00031","url":null,"abstract":"We propose a novel privacy-aware Quality of Service (QoS) forecasting approach in the mobile edge environment – Edge-PMAM (Edge QoS forecasting with Public Model and Attention Mechanism). Edge-PMAM can make realtime, accurate and personalized QoS forecasting on the premise of user privacy preservation. Edge-PMAM comprises a public model for privacy-aware QoS forecasting in an edge region and a private model for personalized QoS forecasting for an individual user. An attention mechanism atop Long Short-Term Memory and an automated edge region division solution are devised to enhance the prediction accuracy of the public and private models. We conduct a series of experiments based on public and self-collected data sets. The results based on public and self-collected data sets demonstrate that our approach can effectively improve forecasting performance and protect user privacy.","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123411497","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}
{"title":"Software Services Engineering Manifesto – Revisited","authors":"Carl K. Chang, Zhongjie Wang","doi":"10.1109/SERVICES55459.2022.00023","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00023","url":null,"abstract":"Industry observers with keen eyes have found that services computing and software engineering are becoming more and more intertwined. That is, services computing professionals and software engineers have been finding ways to intersect theories and practices that used to be more of a concern for the other camp. This emerging interdisciplinary field of study is hereby termed Software Services Engineering (SSE) [1].","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132007145","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}
{"title":"Orchestration of data-intensive pipeline in 5G-enabled Edge Continuum","authors":"M. Anisetti, Filippo Berto, M. Banzi","doi":"10.1109/SERVICES55459.2022.00025","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00025","url":null,"abstract":"Nowadays there is an increasing trend in the volume and velocity of data, typically consumed by data-intensive AI/ML-based services, requiring a larger diffusion of more effective Edge computing approaches. In addition, we are experiencing an increment of critical applications using an increasing volume of sensitive data and requiring advanced security and privacy protections. 5G Edge technology can foster a more diffused Edge computing adoption but several challenges in terms of interoperability. Handling data-intensive pipelines on the 5Genabled Edge continuum, considering specific QoS requirements including security and privacy, is still in its infancy. In this paper, we propose an initial solution for deploying a data-intensive pipeline in a 5G-enabled Edge continuum satisfying specific QoS requirements. Our approach is based on a QoS-aware meta orchestration modeling of a given pipeline and an orchestration builder generating deployable Edge-specific orchestrations. In this paper, we also present an initial walkthrough scenario in the context of a wet lab analysis pipeline to be deployed on the 5G-enabled Edge continuum.","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115195921","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}
{"title":"xAFCL: Run Scalable Function Choreographies Across Multiple FaaS Systems","authors":"S. Ristov, Stefan Pedratscher, T. Fahringer","doi":"10.1109/SERVICES55459.2022.00045","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00045","url":null,"abstract":"[J1C2 Presentation Abstract at IEEE SERVICES 2021 for IEEE Transactions on Services Computing DOI 10.1109/TSC.2021.3128137]","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467077","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}
{"title":"Plenary Panel 4 - The Role of Services in the 5G/6G Arena","authors":"","doi":"10.1109/services55459.2022.00021","DOIUrl":"https://doi.org/10.1109/services55459.2022.00021","url":null,"abstract":"","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115884625","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}
{"title":"DisCOV: Distributed COVID-19 Detection on X-Ray Images with Edge-Cloud Collaboration","authors":"Xiaolong Xu, Hao Tian, Xuyun Zhang, Lianyong Qi, Qiang He, Wanchun Dou","doi":"10.1109/SERVICES55459.2022.00036","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00036","url":null,"abstract":"[J1C2 Presentation Abstract at IEEE SERVICES 2022 for IEEE Transactions on Services Computing DOI 10.1109/TSC.2022.3142265]","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127265600","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}
Lei Xu, Xingliang Yuan, Zhengxiang Zhou, Cong Wang, Chungen Xu
{"title":"Towards Efficient Cryptographic Data Validation Service in Edge Computing","authors":"Lei Xu, Xingliang Yuan, Zhengxiang Zhou, Cong Wang, Chungen Xu","doi":"10.1109/SERVICES55459.2022.00027","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00027","url":null,"abstract":"[J1C2 Presentation Abstract at IEEE SERVICES 2021 for IEEE Transactions on Services Computing DOI 10.1109/TSC.2021.3111208]","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125550544","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}
{"title":"Plenary Panel 5 - Software Services Engineering","authors":"","doi":"10.1109/services55459.2022.00022","DOIUrl":"https://doi.org/10.1109/services55459.2022.00022","url":null,"abstract":"","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115841211","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}
Phu Lai, Qiang He, Xiaoyu Xia, Feifei Chen, Mohamed Abdelrazek, J. Grundy, J. Hosking, Yun Yang
{"title":"Dynamic User Allocation in Stochastic Mobile Edge Computing Systems*","authors":"Phu Lai, Qiang He, Xiaoyu Xia, Feifei Chen, Mohamed Abdelrazek, J. Grundy, J. Hosking, Yun Yang","doi":"10.1109/SERVICES55459.2022.00030","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00030","url":null,"abstract":"Mobile edge computing (MEC) is a new distributed computing paradigm where edge servers are deployed at, or near cellular base stations in close proximity to end-users. This offers computing resources at the edge of the network, facilitating a highly accessible platform for real-time, latency-sensitive services. A typical MEC environment is highly stochastic with random user arrivals and departures over time. Here, we address the user allocation problem from a service provider’s perspective, who needs to allocate its users to the cloud or edge servers in a specific area. A user, who has a multi-dimensional resource requirement, can be allocated to either the remote cloud, which incurs a high latency, or an edge server, which results in a low latency but might require the user to wait in a queue. This study aims to achieve a controllable trade-off between performance (throughput) and several associated costs such as queuing delay and latency costs. We model this problem as a stochastic optimization problem, propose SUAC (Stochastic User AlloCation) – an online Lyapunov optimization-based algorithm, and prove its performance bounds. The experimental results demonstrate that SUAC outperforms existing approaches, effectively allocating users with a desired trade-off while keeping the system strongly stable.","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703461","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}
Chang-ai Sun, Hepeng Dai, Guan Wang, D. Towey, T. Chen, K. Cai
{"title":"An Extended Abstract of “Dynamic Random Testing of Web Services: A Methodology and Evaluation”","authors":"Chang-ai Sun, Hepeng Dai, Guan Wang, D. Towey, T. Chen, K. Cai","doi":"10.1109/SERVICES55459.2022.00043","DOIUrl":"https://doi.org/10.1109/SERVICES55459.2022.00043","url":null,"abstract":"[J1C2 Presentation Abstract at IEEE SERVICES 2022 for IEEE Transactions on Services Computing, 2022, 15(2):736-751. DOI: 10.1109/TSC.2019.2960496].","PeriodicalId":429807,"journal":{"name":"2022 IEEE World Congress on Services (SERVICES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123930302","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}