2021 IEEE World Congress on Services (SERVICES)最新文献

Modeling and Measuring for Emotion Communication based on DIKW 基于DIKW的情感交流建模与测量

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00031

Ting Hu, Yucong Duan

引用次数: 6

Dynamic Trust Enforcing Pricing Scheme for Sensors-as-a-Service in Sensor-Cloud Infrastructure 传感器云基础设施中传感器即服务的动态信任强制定价方案

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00018

A. Chakraborty, A. Mondal, Arijit Roy, S. Misra

引用次数: 1

Privacy-preserving Diverse Keyword Search and Online Pre-diagnosis in Cloud Computing 云计算中保护隐私的多关键字搜索与在线预诊断

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00029

Xiangyu Wang, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Ruikang Yang

{"title":"Privacy-preserving Diverse Keyword Search and Online Pre-diagnosis in Cloud Computing","authors":"Xiangyu Wang, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Ruikang Yang","doi":"10.1109/services51467.2021.00029","DOIUrl":"https://doi.org/10.1109/services51467.2021.00029","url":null,"abstract":"With the development of the Mobile Healthcare Monitoring Network (MHMN), patients’ data collected by body sensors not only allows patients to monitor their health or make online pre-diagnosis but also enables clinicians to make proper decisions by utilizing data mining techniques. In MHMN, patients’ personal data are collected by sensors per second and uploaded to the cloud server as multi-dimension vectors, cloud server stores the personal data as well as sends monitoring information to the hospital when the real-time data is abnormal. Hospital users (i.e., doctors, etc.) may query some samples which contain certain textual keywords or digital keywords in certain ranges for disease diagnosis or medical research. For example, a certain hospital user may query all samples with textual keywords ‘cancer; diabetes’ and digital vectors ‘age’ ∈ [30,50], ‘blood sugar’ ∈ [4,8], ‘heart rhythm’ ∈ [70,80]. Besides, the potential value of massive medical data has attracted considerable interests recently, for example, valuable results in diagnosis model can be yield with large-scale aggregation analysis of personal medical data. The cloud server can build a diagnosis model using data mining technology over massive data, so that hospital users or pre-diagnosis users upload medical data (i.e., age, blood pressure, blood sugar, etc.) to the cloud for diagnosis.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"70 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":"128602563","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: 4

Checking GDPR Compliance for Cloud-based Services 检查基于云的服务的GDPR合规性

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00013

M. Barati, Omer F. Rana

引用次数: 1

Towards Purpose Driven Content Interaction Modeling and Processing based on DIKW 基于DIKW的目的驱动内容交互建模与处理

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00032

Yue Huang, Yucong Duan

{"title":"Towards Purpose Driven Content Interaction Modeling and Processing based on DIKW","authors":"Yue Huang, Yucong Duan","doi":"10.1109/services51467.2021.00032","DOIUrl":"https://doi.org/10.1109/services51467.2021.00032","url":null,"abstract":"In this information and regularization era, people will encounter a variety of forms in their daily life and office, such as online shopping to fill in the recipient information, travel to fill in the epidemic prevention information and so on. People classify these as content filling problems. In the face of these forms, there are many problems, such as repeated filling, error, troublesome, leakage of information and so on. However, existing automatic filling technology often only stays at the level of data or information migration, which is difficult to deal with the above problems. Moreover, it does not analyze purpose of the preparer and the form in the filling process. This is easy to produce filling behavior contrary to purpose of the preparer. Aiming at this kind of problem, we proposes a content filling data, information, knowledge and purpose(DIKP) modeling method. This method transforms the contents of preparer and form into data, information, knowledge and purpose, and establishes DIKP system. Then, driven by the purpose of the preparer, we fully analyze and calculate the DIKP systems of preparer and form. We judge and grade the filling value. We fill the content through the methods such as comparison of purpose, reducing uncertainty, fuzzy transmission and content verification to achieve intelligence and rationality.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"60 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":"132660408","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: 7

Message from Congress General Chairs 大会主席致辞

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00006

引用次数: 0

Service Recommendation based on Smart Contract and DIKW 基于智能合约和DIKW的服务推荐

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00036

Haiyang Zhang, Yuxiao Lei, Yucong Duan

引用次数: 0

A Learning Automata-based Scheduling for Deadline Sensitive Task in The Cloud 基于学习自动机的云环境中期限敏感任务调度

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00021

Sampa Sahoo, B. Sahoo, A. K. Turuk

{"title":"A Learning Automata-based Scheduling for Deadline Sensitive Task in The Cloud","authors":"Sampa Sahoo, B. Sahoo, A. K. Turuk","doi":"10.1109/services51467.2021.00021","DOIUrl":"https://doi.org/10.1109/services51467.2021.00021","url":null,"abstract":"Cloud computing is a revolutionary paradigm, which allows applications to run in a virtualized environment. The application runs on a virtual cloud resource makes the system scalable and cost-efficient. Noticeably many applications, such as healthcare systems, video streaming, Internet of Things (IoT) running in the cloud, are real-time in nature, i.e., these applications demand responses within a particular time limit, i.e., deadline. To meet the requirement of such applications, a Cloud Service Provider (CSP) must have a sufficient number of cloud resources (virtual machines). Further, the ever-growing demand for applications forces a CSP to deploy more and more cloud resources. Inevitably, the massive count of cloud resources in a cloud data center consumes a tremendous amount of energy. Specifically, it becomes cumbersome to offer services to deadline-sensitive tasks while minimizing energy consumption. An efficient task scheduling is an attractive way to reduce energy usage while ensuring satisfactory services for cloud users. Learning Automata (LA) is a reinforcement-based adaptive decision-making unit that learns and selects the best action from a set of actions applied in a dynamic environment. Similar to LA, in task scheduling, the best task and virtual machine combinations are chosen from a set of available combinations. In this context, this paper implemented the LA technique to solve a bi-objective deadline-sensitive task scheduling problem which includes minimization of energy consumption and makespan. At first, a learning automata-based scheduling framework is designed for deadline-sensitive tasks in the cloud. Later, a scheduling algorithm, namely, the LA-based Scheduling (LAS) algorithm, is proposed. The LAS algorithm exploits the heterogeneity of tasks and virtual machines (VMs) while guaranteeing the task’s deadline. Extensive simulation is carried out to designate the effectiveness and applicability of LAS for deadline-sensitive task scheduling in the heterogeneous cloud environment.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"46 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":"127010308","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: 0

Multi-Tenant Cloud-Edge Workflow Scheduling With Priority and Deadline Constraints 具有优先级和截止日期约束的多租户云边缘工作流调度

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00048

Dong Pan, Long Chen, Xiaoping Li

引用次数: 0

Multi-view Scenario-based Service Resource Description Modeling and Application Method 基于多视图场景的服务资源描述建模与应用方法

2021 IEEE World Congress on Services (SERVICES) Pub Date : 2021-09-01 DOI: 10.1109/services51467.2021.00043

Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li

{"title":"Multi-view Scenario-based Service Resource Description Modeling and Application Method","authors":"Zhengzuo Li, Zhiying Tu, Bo Liu, Dianhui Chu, Chunshan Li","doi":"10.1109/services51467.2021.00043","DOIUrl":"https://doi.org/10.1109/services51467.2021.00043","url":null,"abstract":"In recent years, soft service robot(e-SBOT) that can exist in any intelligent terminal have received widespread attention. However, currently the services provided by e-SBOT are extremely limited. This defect mostly dues to two problems, one is that the inaccuracy of capturing user’s need caused by incomplete understanding, the other is that the richness, diversity and complexity of service resources make it difficult to select appropriate resources. The existing service resource library is mainly based on the digital world and lacks a unified description and management of service resources both in digital and physical world. In addition, it is mostly useless to recommend service resources that do not match the user’s current scenario, resulting in a worse experience. Therefore, it’s essential to describe the service resources in combination with the scene and provide the service resources that adapted to the scenario to users in a more accurate and rapid way. To achieve this, we propose a scenario-based service resource description model based on ontology modeling. A multi-view retrieval method is simultaneously developed for rapid retrieval of service resources. Experimental results show that our proposed model and method can improve the retrieval speed and accurately return service resources suitable for user scenarios.","PeriodicalId":210534,"journal":{"name":"2021 IEEE World Congress on Services (SERVICES)","volume":"6 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":"114998423","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