Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion最新文献_第3页

Are Cloud Modelling Languages Ready for Multi-Cloud? 云建模语言为多云做好准备了吗?

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368840

K. Kritikos, Pawel Skrzypek

引用次数: 5

Good Bye Vendor Lock-in: Getting your Cloud Applications Multi-Cloud Ready! 再见供应商锁定:让您的云应用程序准备好多云!

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3370267

M. Rózanska, K. Kritikos

{"title":"Good Bye Vendor Lock-in: Getting your Cloud Applications Multi-Cloud Ready!","authors":"M. Rózanska, K. Kritikos","doi":"10.1145/3368235.3370267","DOIUrl":"https://doi.org/10.1145/3368235.3370267","url":null,"abstract":"Clouds offer significant advantages over traditional cluster computing architectures including flexibility, high-availability, ease of deployment, and on-demand resource allocation -- all packed up in an attractive pay-as-you-go economic model for the users. However, cloud users are often forced into vendor lock-in due to the use of incompatible APIs, cloud-specific services, and complex pricing models of the cloud service providers (CSPs). Cloud management platforms (CMPs), supporting hybrid and multi-cloud deployment, offer an answer by providing a unified abstract interface to multiple cloud platforms. Nonetheless, modelling applications to use multi-clouds, automated resource selection based on user requirements from various available CSPs, cost optimization, security, and runtime adaptation of deployed applications still remain a challenge. In this tutorial, we provide a practical introduction to multi-cloud application modelling, configuration, deployment, and adaptation. We survey existing CMPs, compare their features and modelling methods. Finally, we provide a practical hands-on training for getting your applications ready for multi-cloud using selected tools. By the end of this tutorial, attendees should be able to understand the benefits of the multi-cloud approach, and prepared to deploy their first managed multi-cloud application.","PeriodicalId":166357,"journal":{"name":"Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108168","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

Towards a Comprehensive Data Processing Platform 迈向综合数据处理平台

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3369373

Q. Xiu, Keiro Muro

引用次数: 0

Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds hcv:跨异构边缘和云测试平台测试物联网应用的框架

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368832

Ilja Behnke, L. Thamsen, O. Kao

{"title":"Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds","authors":"Ilja Behnke, L. Thamsen, O. Kao","doi":"10.1145/3368235.3368832","DOIUrl":"https://doi.org/10.1145/3368235.3368832","url":null,"abstract":"As a result of the many technical advances in microcomputers and mobile connectivity, the Internet of Things (IoT) has been on the rise in the recent decade. Due to the broad spectrum of applications, networks facilitating IoT scenarios can be of very different scale and complexity. Additionally, connected devices are uncommonly heterogeneous, including micro controllers, smartphones, fog nodes and server infrastructures. Therefore, testing IoT applications is difficult, motivating adequate tool support. In this paper, we present Héctor, a framework for the automatic testing of IoT applications. Héctor allows the automated execution of user-defined experiments on agnostic IoT testbeds. To test applications independently of the availability of required devices, the framework is able to generate virtual testbeds with adjustable network properties. Our evaluations show that simple experiments can be easily automated across a broad spectrum of testbeds. However, the results also indicate that there is considerable interference in experiments, in which many devices are emulated, due to the high resource demand of system emulation.","PeriodicalId":166357,"journal":{"name":"Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115901387","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: 14

Throughput Enhancement with Overlay Network Virtualization Using Commodity Devices 使用商品设备的覆盖网络虚拟化的吞吐量增强

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3370929

Hiroki Kawahara, R. Yamamoto, S. Ohzahata, Toshihiko Kato

引用次数: 0

Towards an Integration Methodology for Multi-Cloud Application Management Platforms 面向多云应用管理平台的集成方法

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368833

K. Kritikos, Pawel Skrzypek, M. Rózanska

引用次数: 1

Investigating Challenges to SME Deployment of Operational Business Intelligence: A Case Study in the New Zealand Retail Sector 调查中小企业部署运营商业智能的挑战:以新西兰零售业为例

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3369371

M. Mirzaei, Sanjeev Vellore Ranganathan, N. Kearns, David Airehrour, Mitra Etemaddar

{"title":"Investigating Challenges to SME Deployment of Operational Business Intelligence: A Case Study in the New Zealand Retail Sector","authors":"M. Mirzaei, Sanjeev Vellore Ranganathan, N. Kearns, David Airehrour, Mitra Etemaddar","doi":"10.1145/3368235.3369371","DOIUrl":"https://doi.org/10.1145/3368235.3369371","url":null,"abstract":"Advances in machine learning and big data are leading to the employment of data analytics management systems in many organisations and industries. Generally, large organisations are able to put more resources towards this deployment, and the software used is more suited to larger entities. However, increasing business pressures are now driving small and medium-sized enterprises (SMEs) to deploy data analytics. This study examines the challenges faced by small retail businesses in New Zealand when deploying a self-service business intelligence (BI) system. The study applied qualitative methods including in-depth interviews with managers and staff of four retail stores, and observed that while respondents consistently agreed on the benefits and drawbacks of the new system, their levels of engagement with the system were uneven. It was discovered that users' real-time responses to dilemmas arising from the novelty of the new analytics management system compared to the existing system, significantly influenced the smooth adoption and implementation of the system. Analysis of a representative dilemma using the Theory of Constraints (TOC) and Evaporating Cloud (EC) method, leads to a possible resolution of the dilemma through TOC injections.","PeriodicalId":166357,"journal":{"name":"Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124526866","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: 5

Techniques for Mutual Auditability in a Cloud Environment 云环境中相互审核的技术

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368875

Daniel Ladouceur, Bimmy Pujari, Edward Gleeck, Joel Coffman

引用次数: 0

Cloud Instance Selection Using Parallel K-Means and AHP 基于并行k -均值和AHP的云实例选择

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368845

Taiyang Guo, R. Bahsoon, Tao-An Chen, Abdessalam Elhabbash, F. Samreen, Yehia El-khatib

{"title":"Cloud Instance Selection Using Parallel K-Means and AHP","authors":"Taiyang Guo, R. Bahsoon, Tao-An Chen, Abdessalam Elhabbash, F. Samreen, Yehia El-khatib","doi":"10.1145/3368235.3368845","DOIUrl":"https://doi.org/10.1145/3368235.3368845","url":null,"abstract":"Managing cloud spend and qualities when selecting cloud instances is cited as one of the timely research challenges in cloud computing. Cloud service consumers are often confronted by too many options and selection is challenging. This is because instance provision can be difficult to comprehend for an average technical user and tactics of cloud provider are far from being transparent biasing the selection. This paper proposes a novel cloud instance selection framework for finding the optimal IaaS purchase strategy for a VARD application in Amazon EC2. Analytical Hierarchy Process (AHP) and parallel K-Means Clustering algorithm are used and combined in Cloud Instance Selection environments. It allows cloud users to get the recommendation about cloud instance types and job submission periods based on requirements such as CPU, RAM, and resource utilisation. The system leverages AHP to select cloud instance type. Besides, AHP results are used by the parallel K-Means clustering model to find the best execution time for a given day according to the user's requirements. Finally, we provide an example to demonstrate the applicability of the approach. Experiments indicate that our approach achieves better results than ad-hoc and cost-driven approaches.","PeriodicalId":166357,"journal":{"name":"Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116083218","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: 8

Faster OTA Updates in Smart Vehicles using Fog Computing 使用雾计算的智能汽车OTA更新速度更快

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion Pub Date : 2019-12-02 DOI: 10.1145/3368235.3368842

Kaneez Fizza, Nitin Auluck, Akramul Azim, Md. Al Maruf, Anil Singh

{"title":"Faster OTA Updates in Smart Vehicles using Fog Computing","authors":"Kaneez Fizza, Nitin Auluck, Akramul Azim, Md. Al Maruf, Anil Singh","doi":"10.1145/3368235.3368842","DOIUrl":"https://doi.org/10.1145/3368235.3368842","url":null,"abstract":"Fog computing consists of modest capability fog nodes located close to the data generation sources. These nodes are ideal for executing small interactive tasks with a low latency requirement. Tasks that are larger and more latency tolerant may be executed at the cloud data center. A popular use case for fog computing is smart vehicles, which consist of numerous sensors and actuators that automate various tasks, such as traffic monitoring, braking and entertainment. We propose a fog computing based framework for pushing over the air (OTA) updates to smart vehicles. This allows the car manufacturers to push updates directly to the vehicles, without requiring a visit to the dealership. To this end, we propose a Software Update (SU ) algorithm that pushes OTA updates directly from fog nodes to the vehicles. Further, we propose a Mobility Management (MM) algorithm that takes into account the mobility of smart vehicles. In order to reduce the number of handovers, an ILP formulation has been proposed. Our experiments evaluate the impact of software size, vehicle mobility, number of vehicles and data transmission rate on OTA update performance. The experimental results using dynamic fog nodes offer an improvement of approximately 37% in OTA update time compared to updates using cloud data centers.","PeriodicalId":166357,"journal":{"name":"Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion","volume":"15 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120822552","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: 10