2022 IEEE Cloud Summit最新文献

Android Application for Tracking Pedestrian Movements in Realtime with Firebase Android应用程序跟踪行人的实时运动与Firebase

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00020

H. Kimm, Dennis Flynn

引用次数: 2

GoDeploy: Portable Deployment of Serverless Functions in Federated FaaS GoDeploy:联邦FaaS中无服务器功能的可移植部署

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00012

S. Ristov, Simon Brandacher, M. Felderer, R. Breu

{"title":"GoDeploy: Portable Deployment of Serverless Functions in Federated FaaS","authors":"S. Ristov, Simon Brandacher, M. Felderer, R. Breu","doi":"10.1109/CloudSummit54781.2022.00012","DOIUrl":"https://doi.org/10.1109/CloudSummit54781.2022.00012","url":null,"abstract":"Federated Function-as-a-Service (FaaS) offers higher scalability, better resilience and cost-performance trade-off than running serverless applications in a single cloud region. However, existing Infrastructure-as-Code (IaC) tools are mainly focused on the FaaS provider, rather than on applications, which increases developer effort to code multiple times the same data in order to deploy a serverless function on various cloud regions in federated FaaS. To bridge this gap, this paper introduces GoDeploy, a framework that simplifies coding the deployment of serverless functions in Federated FaaS. Using the design principle “code once, deploy everywhere”, GoDeploy offers developers a domain-specific language, which introduces a three-levels hierarchy serverless function → FaaS providers →cloud regions of FaaS provider, rather than existing either the two-levels hierarchy FaaS provider → serverless functions or flat horizontal structure. Moreover, GoDeploy hides the complexity and requirements of each FaaS provider to store deployment packages (zip) of serverless functions on their storages. With this approach, GoDeploy reduces deployment script length measured in lines of code (LoC) compared to the recent FaaSifier M2FaaS by up to 33.33% for deployment on three cloud regions of AWS. When deploying a single function on three cloud regions of each of three FaaS providers AWS, IBM, Google, LoC are reduced by up to 72.34% compared to the state-of-the-art IaC tool Terraform. The improvement is higher when a serverless function needs to be deployed on multiple cloud regions because GoDeploy's three-level hierarchy requires a single LoC per cloud region, compared to multiple LoC in Terraform's and M2FaaS DSLs.","PeriodicalId":106553,"journal":{"name":"2022 IEEE Cloud Summit","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127696349","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

IDS-Chain: A Collaborative Intrusion Detection Framework Empowered Blockchain for Internet of Medical Things IDS-Chain:基于区块链的医疗物联网协同入侵检测框架

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00015

Ahamed Aljuhani

引用次数: 0

A Cost-Effective and Multi-Source-Aware Replica Migration Approach for Geo-Distributed Data Centers 地理分布数据中心的一种经济高效、多源感知的副本迁移方法

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00009

Bita Fatemipour, Wei Shi, M. St-Hilaire

{"title":"A Cost-Effective and Multi-Source-Aware Replica Migration Approach for Geo-Distributed Data Centers","authors":"Bita Fatemipour, Wei Shi, M. St-Hilaire","doi":"10.1109/CloudSummit54781.2022.00009","DOIUrl":"https://doi.org/10.1109/CloudSummit54781.2022.00009","url":null,"abstract":"Geographically distributed data centers have been de-ployed for different purposes, such as minimizing the transmission and response time and the amount of data exchanges throughout the networks. Beyond fault tolerance purposes, data replication has been a popular solution to increase data availability by bringing data closer to the end users. Most existing studies migrate replicas to the desired destinations from a single source, and few of such solutions are cost-aware. By having a multi-source and cost-aware approach, we can accelerate the transmission time resulting in a better quality of service for the end users. Towards that end, this paper introduces a cost-effective and deadline-aware replica migration approach for geo-distributed data centers. The proposed model discovers the appropriate source(s) and paths to transmit the replicas to a desired destination cost-effectively. This problem, which jointly considers cost and deadline, is formulated into a mixed-integer linear programming optimization model. Extensive evaluation against two of the most recent approaches shows significant improvement in meeting the deadlines and reducing the cost incurred to the customers.","PeriodicalId":106553,"journal":{"name":"2022 IEEE Cloud Summit","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499063","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

Implementing a Network-Aware Kubernetes Scheduler on top of a Mesh Network 在Mesh网络之上实现一个网络感知的Kubernetes调度器

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00018

Jerico Moeyersons, Brecht Stamper, B. Volckaert, F. de Turck

{"title":"Implementing a Network-Aware Kubernetes Scheduler on top of a Mesh Network","authors":"Jerico Moeyersons, Brecht Stamper, B. Volckaert, F. de Turck","doi":"10.1109/CloudSummit54781.2022.00018","DOIUrl":"https://doi.org/10.1109/CloudSummit54781.2022.00018","url":null,"abstract":"A recent trend observed in the Kubernetes world is trying to deploy a Kubernetes cluster entirely or partially to the edge. When further looking into these edge environments, it is often noted that wireless technologies are used. Kubernetes is not designed to support these wireless network setups and will have to be extended to run smoothly on these networks. One of the most used network setups in edge environments is a wireless mesh network. Therefore the main focus will be on running Kubernetes on top of a wireless mesh network. Other mesh networks will also be supported with a minimal set of changes needed. The main goal of this paper is to list all the problems encountered when running Kubernetes on top of a mesh network and provide a framework of components and extensions to solve these problems. The majority of these components will be implemented, and demonstrations show that these components are able to solve most of the listed problems when used in a setup with some predefined restrictions. When deploying a demo application with the proposed solution, the required bitrate is observed 97 percent of the time compared to 42 percent with the native Kubernetes scheduler.","PeriodicalId":106553,"journal":{"name":"2022 IEEE Cloud Summit","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125674796","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

Evaluation of Free5GC Forwarding Performance on Private and Public Clouds Free5GC在私有云和公有云上转发性能的评估

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00008

Yi Liu, Qiaoling Li, Qingping Cao, Zhilan Huang, Yangchun Li, Yongbing Fan

引用次数: 0

Survivability and Resiliency Modeling and Analysis of an Internet of Industrial Things using Hierarchical Models 基于层次模型的工业物联网生存性和弹性建模与分析

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00024

T. Nguyen, D. Min, Eunmi Choi, Iure Fé, Francisco Airton Silva

{"title":"Survivability and Resiliency Modeling and Analysis of an Internet of Industrial Things using Hierarchical Models","authors":"T. Nguyen, D. Min, Eunmi Choi, Iure Fé, Francisco Airton Silva","doi":"10.1109/CloudSummit54781.2022.00024","DOIUrl":"https://doi.org/10.1109/CloudSummit54781.2022.00024","url":null,"abstract":"In Industry 4.0, the emergence of the Internet of industrial things (IoIT) has been a mainstream computing infrastructure for smart factories. However, IoITs show a multitude of inherent weaknesses which may restrict IoITs from fulfilling implementation expectations due to the con-figuration of the Cloud-Edge continuum. Under the needs of high-level production chain business continuity, an IoIT may be influenced by parametric or structural changes on one hand, but the system may also fail on the other. These possible events may be quantified using two metrics: survivability and resilience. This work proposes to model and evaluate a specific IoIT for survivability and resiliency quantification using a hierarchical model. The system model consists of three layers: (i) reliability block diagram (RBD) at the top level to capture the overall IoIT architecture, (ii) fault tree (FT) at the middle level to capture the configurations of subsystems, and (iii) continuous-time Markov chain (CTMC) models at the bottom level to represent the operational states of the underlying components and devices. The study can assist system managers in ensuring the maximum level of survivability and resiliency of industrial processes in smart factories by preserving operating circumstances and system configurations.","PeriodicalId":106553,"journal":{"name":"2022 IEEE Cloud Summit","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131033199","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

Redefining Edge Computing 重新定义边缘计算

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00023

Sekou L. Remy, Kugamoorthy Gajananan, Alexei Karve

引用次数: 0

Making the Cloud Monitor Real-Time Adaptive 使云监视器实时自适应

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00017

Resul Serkan Keskin, P. Pileggi

引用次数: 1

Particle Swarm Optimization with Enhanced Neighborhood Search for Task Scheduling in Cloud Computing 基于增强邻域搜索的粒子群优化云计算任务调度

2022 IEEE Cloud Summit Pub Date : 2022-10-01 DOI: 10.1109/CloudSummit54781.2022.00011

Saleh Al Shamaa, Nabil Harrabida, Wei Shi, M. St-Hilaire

引用次数: 0