Proceedings of the10th International Conference on Utility and Cloud Computing最新文献

A Service-Oriented Co-Simulation: Holistic Data Center Modelling Using Thermal, Power and Computational Simulations 面向服务的协同仿真:使用热、功率和计算仿真的整体数据中心建模

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147219

S. J. Clement, D. McKee, Jie Xu

{"title":"A Service-Oriented Co-Simulation: Holistic Data Center Modelling Using Thermal, Power and Computational Simulations","authors":"S. J. Clement, D. McKee, Jie Xu","doi":"10.1145/3147213.3147219","DOIUrl":"https://doi.org/10.1145/3147213.3147219","url":null,"abstract":"Holistic modelling of a data center to include both thermodynamics and computational processes has the potential to revolutionize how data centers are designed and managed. Such a model is inherently multi-disciplinary, bringing together the computational elements studied by computer scientists; thermodynamics studied by mechanical engineers; and other aspects in the domain of electrical engineering. This paper proposes the use of the Internet of Simulation to allow engineers to build models of individual complex elements and deploy them as simulation services. These services can then be integrated as simulation system workflows. A proof of concept server simulation is presented, incorporating simulations of CPUs, heat sinks, and fans exposed using the Simulation as a Service (SIMaaS) paradigm. The integrated workflow of the server is then exposed as a service (WFaaS) to facilitate the building of an entire virtual data center. Unlike other data center simulations, this approach requires no direct characterisation of the hardware being simulated. Preliminary results are presented showing the effectiveness of the simulation technique and representative behaviour under various simulated cloud workloads. The benefits and future applications of this rapid prototyping approach extend to data center design and data center efficiency research.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125372837","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

Exploring the Potential of FreeBSD Virtualization in Containerized Environments 探索FreeBSD虚拟化在容器化环境中的潜力

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149210

Francesc-Xavier Puig, J. J. Villalobos, I. Rodero, M. Parashar

引用次数: 0

An Actor-Based Framework for Edge Computing 基于参与者的边缘计算框架

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149214

Austin Aske, Xinghui Zhao

引用次数: 10

Practical Tooling for Serverless Computing 无服务器计算的实用工具

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149452

Josef Spillner

引用次数: 12

Cloud-based Hint Application of Relevant Meeting Materials Using OCR and ASR Text Information 基于OCR和ASR文本信息的相关会议资料的云提示应用

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149215

Jiawei Yong, Katsumi Kanasaki, Ryoh Furutani, Kiyohiko Shinomiya, T. Furuta, Shohichi Naitoh

引用次数: 0

Locality-Aware Load Sharing in Mobile Cloud Computing 移动云计算中的位置感知负载共享

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147228

A. Jonathan, A. Chandra, J. Weissman

{"title":"Locality-Aware Load Sharing in Mobile Cloud Computing","authors":"A. Jonathan, A. Chandra, J. Weissman","doi":"10.1145/3147213.3147228","DOIUrl":"https://doi.org/10.1145/3147213.3147228","url":null,"abstract":"The past few years have seen a growing number of mobile and sensor applications that rely on Cloud support. The role of the Cloud is to allow these resource-limited devices to offload and execute some of their compute-intensive tasks in the Cloud for energy saving and/or faster processing. However, such offloading to the Cloud may result in high network overhead which is not suitable for many mobile/sensor applications that require low latency. So, people have looked at an alternative Cloud design whose resources are located at the edge of the Internet, called Edge Cloud. Although the use of Edge Cloud can mitigate the offloading overhead, the computational power and network bandwidth of Edge Cloud's resources are typically much more limited compared to the centralized Cloud and hence are more sensitive to workload variation (e.g., due to CPU or I/O contention). In this paper, we propose a locality-aware load sharing technique that allows edge resources to share their workload in order to maintain the low latency requirement of Mobile-Cloud applications. Specifically, we study how to determine which edge nodes should be used to share the workload with and how much of the workload should be shared to each node. Our experiments show that our locality-aware load sharing technique is able to maintain low average end-to-end latency of mobile applications with low latency variation, while achieving good utilization of resources in the presence of a dynamic workload.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577912","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: 19

Benchmarking Automated Hardware Management Technologies for Modern Data Centers and Cloud Environments 现代数据中心和云环境的自动化硬件管理技术的基准测试

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149212

E. Hojati, Yong Chen, A. Sill

引用次数: 5

Reliable and Energy Efficient Resource Provisioning and Allocation in Cloud Computing 云计算中可靠和节能的资源供应和分配

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147218

Yogesh Sharma, B. Javadi, Weisheng Si, Daniel W. Sun

{"title":"Reliable and Energy Efficient Resource Provisioning and Allocation in Cloud Computing","authors":"Yogesh Sharma, B. Javadi, Weisheng Si, Daniel W. Sun","doi":"10.1145/3147213.3147218","DOIUrl":"https://doi.org/10.1145/3147213.3147218","url":null,"abstract":"Reliability and Energy-efficiency is one of the biggest trade-off challenges confronting cloud service providers. This paper provides a mathematical model of both reliability and energy consumption in cloud computing systems and analyses their interplay. This paper also proposes a formal method to calculate the finishing time of tasks running in a failure prone cloud computing environment using checkpointing and without checkpointing. To achieve the objective of maximizing the reliability and minimizing the energy-consumption of cloud computing systems, three resource provisioning and virtual machine (VM) allocation policies using the aforementioned mathematical models are proposed. These three policies are named Reliability Aware Best Fit Decreasing (RABFD), Energy Aware Best Fit Decreasing (EABFD), Reliability-Energy Aware Best Fit Decreasing (REABFD). A simulation based evaluation of the proposed policies has been done by using real failure traces and workload models. The results of our experiments demonstrated that by considering both reliability and energy factors during resource provisioning and VM allocation, the reliability and energy consumption of the system can be improved by 23% and 61%, respectively.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114277451","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: 12

A Crop Water Stress Monitoring System Utilising a Hybrid e-Infrastructure 利用混合电子基础设施的作物水分胁迫监测系统

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147222

Gaojie Sun, Hongzheng Xie, R. Sinnott

{"title":"A Crop Water Stress Monitoring System Utilising a Hybrid e-Infrastructure","authors":"Gaojie Sun, Hongzheng Xie, R. Sinnott","doi":"10.1145/3147213.3147222","DOIUrl":"https://doi.org/10.1145/3147213.3147222","url":null,"abstract":"There are many challenges involved in irrigation systems in agricultural environments. Many approaches simply support crop watering as a simple standardised solution - watering the fields uniformly. However, depending on the topology of the ground and the crop species that exists, considerable improvements can be achieved that can greatly impact on the overall crop yield. Too little watering or too much watering in the wrong areas can impact the overall output. With the rapid growth in unmanned aerial vehicles (UAVs) and drones, image capture technology is now readily available. If the water-stressed areas could be identified, irrigation systems could offer targeted irrigation to only those crops in need. To support this, a crop water stress monitoring system has been designed utilising the thermal images of the crops. The analysis of such data can be computationally demanding when large crop fields are considered, hence the system has been designed to use multi-core high performance computing and Cloud-based systems. This paper outlines the requirements and design of the crop water stress monitoring system and how it provides an efficient and effective analysis of crop water stress index. The paper also benchmarks the algorithms across the hybrid infrastructure.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"88 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087935","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

GPaaScaler: Green Energy Aware Platform Scaler for Interactive Cloud Application GPaaScaler:面向交互式云应用的绿色能源感知平台缩放器

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147227

Md. Sabbir Hasan, Frederico Alvares, T. Ledoux

{"title":"GPaaScaler: Green Energy Aware Platform Scaler for Interactive Cloud Application","authors":"Md. Sabbir Hasan, Frederico Alvares, T. Ledoux","doi":"10.1145/3147213.3147227","DOIUrl":"https://doi.org/10.1145/3147213.3147227","url":null,"abstract":"Recently, smart usage of renewable energy has been a hot topic in the Cloud community. In this vein, we have recently proposed the creation of green energy awareness around Interactive Cloud Applications, but in static amount of underlying resources. This paper adds to previous ones as it considers elastic underlying infrastructure, that is, we propose a PaaS solution which efficiently utilize the elasticity nature at both infrastructure and application levels, by leveraging adaptation in facing to changing condition i.e., workload burst, performance degradation, quality of energy, etc. While applications are adapted by dynamically re-configuring their service level based on performance and/or green energy availability, the infrastructure takes care of addition/removal of resources based on application's resource demand. Both adaptive behaviors are implemented in separated modules and are coordinated in a sequential manner.We validate our approach by extensive experiments and results obtained over Grid'5000 test bed. Results show that, application can reduce significant amount of brown energy consumption by 35% and daily instance hour cost by 37% compared to a baseline approach when green energy aware adaptation is considered.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126594549","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