2020 IEEE International Conference on Services Computing (SCC)最新文献_第7页

Title Page iii 第三页标题

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-11-01 DOI: 10.1109/scc49832.2020.00002

引用次数: 0

PETA: Privacy Enabled Task Allocation PETA:启用隐私的任务分配

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-11-01 DOI: 10.1109/SCC49832.2020.00037

Nitin Phuke, Saket Saurabh, M. Gharote, S. Lodha

{"title":"PETA: Privacy Enabled Task Allocation","authors":"Nitin Phuke, Saket Saurabh, M. Gharote, S. Lodha","doi":"10.1109/SCC49832.2020.00037","DOIUrl":"https://doi.org/10.1109/SCC49832.2020.00037","url":null,"abstract":"Service organizations need to comply with numerous data regulations to protect and preserve their customers’ privacy. Any misuse of data and privacy breach can affect the organizations’ reputation and brand image. In service delivery scenarios, such as IT support help desk, agents need to access customer data to serve them effectively. This data often includes sensitive and personally identifiable information of the customer. While some amount of data exposure is needed to serve a customer, however, exposure to more data than required could be a threat to an individual’s privacy. Hence, organizations need to design methodologies to ensure customer privacy while achieving minimal cost of operations.In this paper, we propose the Privacy Enabled Task Allocation (PETA) model for assigning customer requests to agents so that the overall cost of operations and data exposure is minimal. Data exposure is minimized by restricting the amount of data exposure per agent and by regulating the assignment of tasks. The PETA problem is modelled as an integer linear program, which is NP-hard. To solve this combinatorial hard problem, we have designed an allocation algorithm based on the linear programming relaxation for finding a quick feasible solution.","PeriodicalId":274909,"journal":{"name":"2020 IEEE International Conference on Services Computing (SCC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115105444","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

A Swarm-based Approach for Function Placement in Federated Edges 基于群的联邦边函数放置方法

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-11-01 DOI: 10.1109/SCC49832.2020.00013

Andrei Palade, A. Mukhopadhyay, Aqeel H. Kazmi, Christian Cabrera, Evelyn Nomayo, Georgios Iosifidis, M. Ruffini, S. Clarke

{"title":"A Swarm-based Approach for Function Placement in Federated Edges","authors":"Andrei Palade, A. Mukhopadhyay, Aqeel H. Kazmi, Christian Cabrera, Evelyn Nomayo, Georgios Iosifidis, M. Ruffini, S. Clarke","doi":"10.1109/SCC49832.2020.00013","DOIUrl":"https://doi.org/10.1109/SCC49832.2020.00013","url":null,"abstract":"Multi-access Edge Computing (MEC) provides cloud computing capabilities at the edge by offloading users’ service requests on MEC servers deployed at Base Stations (BS). Optimising the resource allocation on such distributed units in a physical area such as a city, especially for compute-intensive and latency-critical services, is a key challenge. We propose a swarm-based approach for placing functions in the edge using a serverless architecture, which does not require services to pre-occupy the required computing resources. The approach uses a probabilistic model to decide where to place the functions while considering the resources available at each MEC server and the latency between the physical servers and the application requester. A central controller with a federated view of available MEC servers orchestrates functions’ deployment and deals changes available resources. We compare our approach against the Best-Fit, Max-Fit, MultiOpt, ILP and Random baselines. Results show that our approach can reduce the latency of applications with limited effect on the resource utilisation.","PeriodicalId":274909,"journal":{"name":"2020 IEEE International Conference on Services Computing (SCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116799584","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

Blockchain-based controlled information sharing in inter-organizational workflows 组织间工作流中基于区块链的受控信息共享

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-11-01 DOI: 10.1109/SCC49832.2020.00056

Christian Rondanini, B. Carminati, Federico Daidone, E. Ferrari

{"title":"Blockchain-based controlled information sharing in inter-organizational workflows","authors":"Christian Rondanini, B. Carminati, Federico Daidone, E. Ferrari","doi":"10.1109/SCC49832.2020.00056","DOIUrl":"https://doi.org/10.1109/SCC49832.2020.00056","url":null,"abstract":"Nowadays, organizations need to set higher and higher business goals in order to cope with market requirements. Indeed, a widespread strategy for organizations is to join in inter-organizational processes, which set collaborations and resource sharing among involved organizations. However, the possible lack of trust among the organizations poses relevant issues on the processing of sensitive resources. A promising approach to cope with this issue is leveraging on blockchain technology. Thanks to its design and consensus algorithm, blockchain provides a trustworthy infrastructure that allows partners involved in the collaboration to monitor and perform audits on the workflow transitions. In general, the focus of the existing blockchain-based workflow management solutions is mainly workflow coordination. However, a challenging characteristic of some workflows is that they require the exchange of a big amount of data that has to be managed off-chain, that is, directly exchanged between data producer and consumer. This off-chain data sharing should be secured and controlled such to follow the workflow execution.To cope with this challenge, in this paper, we propose a controlled information sharing in inter-organizational workflows enforced via smart contracts. Smart contracts are designed to coordinate the workflow execution, as well as to deploy a set of authorizations granting access only to the task executor and only to those resources needed for task execution and only during the task activation. We have also run a set of experiments to show the feasibility of our approach.","PeriodicalId":274909,"journal":{"name":"2020 IEEE International Conference on Services Computing (SCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132965575","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: 9

A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting 基于查询重写的联邦数据即服务系统态势感知访问控制框架

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-19 DOI: 10.1109/SCC49832.2020.00008

Samson Oni, Zhiyuan Chen, Adina Crainiceanu, K. Joshi, Don Needham

{"title":"A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting","authors":"Samson Oni, Zhiyuan Chen, Adina Crainiceanu, K. Joshi, Don Needham","doi":"10.1109/SCC49832.2020.00008","DOIUrl":"https://doi.org/10.1109/SCC49832.2020.00008","url":null,"abstract":"Organizations often need to share mission-dependent data in a secure and flexible way. Examples include contact tracing for a contagious disease such as COVID19, maritime search and rescue operations, or creating a collaborative bid for a contract. In such examples, the ability to access data may need to change dynamically, depending on the situation of a mission (e.g., whether a person tested positive for a disease, a ship is in distress, or a bid offer with given properties needs to be created). We present a novel framework to enable situation-aware access control in a federated Data-as-a-Service architecture by using semantic web technologies. Our framework allows distributed query rewriting and semantic reasoning that automatically adds situation based constraints to ensure that users can only see results that they are allowed to access. We have validated our framework by applying it to two dynamic use cases: maritime search and rescue operations and contact tracing for surveillance of a contagious disease. This paper details our implemented solution and experimental results of the two use cases. Our framework can be adopted by organizations that need to share sensitive data securely during dynamic, limited duration scenarios.","PeriodicalId":274909,"journal":{"name":"2020 IEEE International Conference on Services Computing (SCC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868987","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

Symposium on Women in Services Computing Program 服务计算计划中的妇女专题讨论会

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-01 DOI: 10.1109/scc49832.2020.00081

L. Herger, Rong-Fong Chang, M. Abe, Shubhi Asthana

引用次数: 0

SERVICES 2020 Program Committee 服务2020计划委员会

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-01 DOI: 10.1109/scc49832.2020.00082

引用次数: 0

SERVICES 2020 Steering Committee 服务业2020指导委员会

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-01 DOI: 10.1109/scc49832.2020.00007

引用次数: 0

Welcome Message from the SERVICES 2020 Women in Services Computing Symposium Chair 2020年服务计算领域女性研讨会主席致欢迎辞

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-01 DOI: 10.1109/scc49832.2020.00080

引用次数: 0

Welcome Message from Congress 2020 General Chairs 2020年大会主席欢迎辞

2020 IEEE International Conference on Services Computing (SCC) Pub Date : 2020-10-01 DOI: 10.1109/scc49832.2020.00005

E. Bertino

引用次数: 0