Proceedings of the10th International Conference on Utility and Cloud Computing最新文献_第4页

Secure and Privacy-Aware Data Dissemination for Cloud-Based Applications 基于云的应用程序的安全和隐私意识数据传播

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147230

Lilia Sampaio, Fábio Silva, Amanda Souza, Andrey Brito, P. Felber

引用次数: 9

GO-MaDE: Goal Oriented Mashup Development Editor to Provide Extended End User Support for Developing Service Mashups GO-MaDE:面向目标的Mashup开发编辑器，为开发服务Mashup提供扩展的最终用户支持

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149211

S. Minhas, P. Sampaio, N. Mehandjiev

引用次数: 0

HPC Meets Cloud: Building Efficient Clouds for HPC, Big Data, and Deep Learning Middleware and Applications HPC与云:为HPC、大数据和深度学习中间件和应用程序构建高效云

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149455

D. Panda, Xiaoyi Lu

{"title":"HPC Meets Cloud: Building Efficient Clouds for HPC, Big Data, and Deep Learning Middleware and Applications","authors":"D. Panda, Xiaoyi Lu","doi":"10.1145/3147213.3149455","DOIUrl":"https://doi.org/10.1145/3147213.3149455","url":null,"abstract":"Significant growth has been witnessed during the last few years in HPC clusters with multi-/many-core processors, accelerators, and high-performance interconnects (such as InfiniBand, Omni-Path, iWARP, and RoCE). To alleviate the cost burden, sharing HPC cluster resources to end users through virtualization for both scientific computing and Big Data processing is becoming more and more attractive. In this tutorial, we first provide an overview of popular virtualization system software on HPC cloud environments, such as hypervisors (e.g., KVM), containers (e.g., Docker, Singularity), OpenStack, Slurm, etc. Then we provide an overview of high-performance interconnects and communication mechanisms on HPC clouds, such as InfiniBand, RDMA, SR-IOV, IVShmem, etc. We further discuss the opportunities and technical challenges of designing high-performance MPI runtime over these environments. Next, we introduce our proposed novel approaches to enhance MPI library design over SR-IOV enabled InfiniBand clusters with both virtual machines and containers. We also discuss how to integrate these designs into popular cloud management systems like OpenStack and HPC cluster resource managers like Slurm. Not only for HPC middleware and applications, we will demonstrate how high- performance solutions can be designed to run Big Data and Deep Learning workloads (like Hadoop, Spark, TensorFlow, CNTK, Caffe) in HPC cloud environments.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"116 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113985640","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

Components and Rationale of a Big Data Toolkit Spanning HPC, Grid, Edge and Cloud Computing 跨HPC、网格、边缘和云计算的大数据工具箱的组件和基本原理

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3155012

G. Fox

{"title":"Components and Rationale of a Big Data Toolkit Spanning HPC, Grid, Edge and Cloud Computing","authors":"G. Fox","doi":"10.1145/3147213.3155012","DOIUrl":"https://doi.org/10.1145/3147213.3155012","url":null,"abstract":"We look again at Big Data Programming environments such as Hadoop, Spark, Flink, Heron, Pregel; HPC concepts such as MPI and Asynchronous Many-Task runtimes and Cloud/Grid/Edge ideas such as event-driven computing, serverless computing, workflow, and Services. These cross many research communities including distributed systems, databases, cyberphysical systems and parallel computing which sometimes have inconsistent worldviews. There are many common capabilities across these systems which are often implemented differently in each packaged environment. For example, communication can be bulk synchronous processing or data flow; scheduling can be dynamic or static; state and fault-tolerance can have different models; execution and data can be streaming or batch, distributed or local. We suggest that one can usefully build a toolkit (called Twister2 by us) that supports these different choices and allows fruitful customization for each application area. We illustrate the design of Twister2 by several point studies. We stress the many open questions in very traditional areas including scheduling, messaging and checkpointing.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"5 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891925","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

Scalable and Adaptive Software Defined Network Management for Cloud-hosted Group Communication Applications 用于云托管组通信应用的可扩展和自适应软件定义网络管理

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147220

Prithviraj Patil, Akram Hakiri, Shashank Shekhar, A. Gokhale

{"title":"Scalable and Adaptive Software Defined Network Management for Cloud-hosted Group Communication Applications","authors":"Prithviraj Patil, Akram Hakiri, Shashank Shekhar, A. Gokhale","doi":"10.1145/3147213.3147220","DOIUrl":"https://doi.org/10.1145/3147213.3147220","url":null,"abstract":"Group communications form the primary communication pattern for many cloud-hosted applications and cloud infrastructure management services, such as system health monitoring, multimedia distribution, collaborative applications and distributed databases. Although IP multicast has been used to support group communication semantics in diverse Internet-based distributed applications, its deployment in cloud Data Center Networks (DCNs) has been limited due to its higher resource consumption, scalability, and stability issues, which in turn degrades the utility of the cloud. Software Defined Networking (SDN) has enabled the re-engineering of multicast capabilities to overcome these limitations. To that end, this paper presents an autonomous, dynamic and flexible middleware solution called SDN-based Multicast (SDMC), which provides both network load-aware and switch memory-efficient group communication semantics in DCNs. Thus, SDMC improves DCN resource utilization while allowing applications to remain agnostic to the underlying group communication semantics by efficiently toggling between unicast and multicast in accordance with changing network bandwidth and switch memory usage. Empirical studies comparing SDMC with traditional IP multicast shows up to 60% better latency performance for different DCNs topologies, and up to 50% better performance in the switch memory utilization for multicast groups exceeding size 30.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"48 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":"121467774","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

IoT Implementation for Cancer Care and Business Analytics/Cloud Services in Healthcare Systems 医疗保健系统中癌症护理和业务分析/云服务的物联网实施

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149217

Adeniyi Onasanya, M. Elshakankiri

引用次数: 17

Scheduling Scientific Workloads in Private Cloud: Problems and Approaches 在私有云中调度科学工作负载:问题和方法

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147223

D. Klusácek, Boris Parák, Gabriela Podolníková, András Ürge

{"title":"Scheduling Scientific Workloads in Private Cloud: Problems and Approaches","authors":"D. Klusácek, Boris Parák, Gabriela Podolníková, András Ürge","doi":"10.1145/3147213.3147223","DOIUrl":"https://doi.org/10.1145/3147213.3147223","url":null,"abstract":"Public cloud providers are using the \"pay-per-use\" model when providing their resources to customers. Among other advantages, it allows the provider to react to changing demands, e.g., by modifying prices or by extending its physical capacities using the profit obtained. In this paper we deal with a completely different model. We describe a private scientific cloud where resources are provided to researchers for free. As we demonstrate, the \"absence of money\" means that the system must employ other mechanisms to guarantee reasonable performance and utilization. Especially, the problem of guaranteeing user-to-user fairness represents a major issue. Moreover, since there is no financial burden related to the use of cloud infrastructure, many resources can be wasted by long running idle virtual machines (VM) that their users no longer need. This leads to underutilization and resource fragmentation. This paper discusses these problems using real-life data from the CERIT Scientific Cloud and proposes several techniques to guarantee fair and efficient use of system resources. Furthermore, we present a prototype of a new experimental OpenNebula-compatible VM scheduler which was designed as a replacement for the default scheduler provided in OpenNebula distribution. Unlike the default scheduler, our new scheduler provides complex fair-sharing mechanisms as well as modular and easy-to-extend architecture to enable further development of advanced VM scheduling policies.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"16 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":"125463690","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: 6

Understanding Performance Interference Benchmarking and Application Profiling Techniques for Cloud-hosted Latency-Sensitive Applications 理解云托管延迟敏感应用程序的性能干扰基准测试和应用程序分析技术

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149453

Shashank Shekhar, Yogesh D. Barve, A. Gokhale

引用次数: 5

LambdaLink: an Operation Management Platform for Multi-Cloud Environments LambdaLink:面向多云环境的运营管理平台

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147224

K. Keahey, Pierre Riteau, Nicholas P. Timkovich

{"title":"LambdaLink: an Operation Management Platform for Multi-Cloud Environments","authors":"K. Keahey, Pierre Riteau, Nicholas P. Timkovich","doi":"10.1145/3147213.3147224","DOIUrl":"https://doi.org/10.1145/3147213.3147224","url":null,"abstract":"The last several years have seen an unprecedented growth in data availability, with dynamic data streams from sources ranging from social networks to small, inexpensive sensing devices. This new data availability creates an opportunity, especially in geospatial data science where this new, dynamic, data allows novel insight into phenomena ranging from environmental to social sciences. Much work has focused on creating venues or portals for publishing and accessing such dynamic datasets. However access to data in itself is not sufficient to turn data into information the data needs to be filtered, correlated, and otherwise analyzed using methods that are dynamically developed and constantly improved by a distributed community of experts. Further, these methods are increasingly required to deliver results with specific qualities of service, e.g., providing results by a certain deadline or ensuring a certain accuracy of the results. Delivering such qualities of service requires generic but often sophisticated tools managing the execution of operations and ensuring their correctness. This paper presents LambdaLink, an operation management platform for multi-cloud environments, and explains how it supports the structured contribution and repeatable, time-controlled execution of operations. We describe the architecture and implementation of LambdaLink, its approach to appliance management in a multi-cloud context, and compare it with related systems.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"1 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":"129273685","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

Machine Learning GPU Power Measurement on Chameleon Cloud 基于变色龙云的机器学习GPU功耗测量

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149450

J. Y. Chuah

引用次数: 2