Proceedings of the10th International Conference on Utility and Cloud Computing最新文献_第3页

Cloud Trek: The Next Generation 《云之迷航:下一代

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3155014

R. Sinnott

{"title":"Cloud Trek: The Next Generation","authors":"R. Sinnott","doi":"10.1145/3147213.3155014","DOIUrl":"https://doi.org/10.1145/3147213.3155014","url":null,"abstract":"Educating the next generation of software engineers is essential with the increased move to an Internet-based society. The need to support big data and data analytics are challenging many of the typical scenarios and paradigms associated with software engineering. In the digital age, data is often messy, distributed and growing exponentially. In this context there are swathes of technologies that are shaping the landscape for dealing with these phenomenon. Cluster and high performance computing has been a core approach for processing larger scale data sets, but Cloud computing has now gained increasing prominence and acceptance. In this context, training and educating the next generation of software engineers to be savvy Cloud application developers is essential. Prof Sinnott has taught Cluster (HPC) and Cloud Computing at the University of Melbourne for 5 years and exposed students to the latest technologies for big data analytics. Many of these efforts are shaped by the portfolio of major projects utilising numerous big data technologies within the Melbourne eResearch Group (www.eresearch.unimelb.edu.au). This presentation covers the pedagogy of the course and describes the way in which it utilizes national cloud and storage resources made available across Australia. Examples of the shaping eResearch projects and the solutions developed by the students are illustrated to demonstrate the practical experiences in developing Cloud-based solutions that focus especially on 'big data' challenges.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"35 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":"122064421","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

Analysis of the Effects and Factors of Implementing Cloud Business Intelligence in Banking Systems 银行系统实施云商业智能的效果及影响因素分析

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149213

M. Sayedi, P. Ghafari, E. Hojati

{"title":"Analysis of the Effects and Factors of Implementing Cloud Business Intelligence in Banking Systems","authors":"M. Sayedi, P. Ghafari, E. Hojati","doi":"10.1145/3147213.3149213","DOIUrl":"https://doi.org/10.1145/3147213.3149213","url":null,"abstract":"Nowadays, the new big challenge in banking systems is dealing with large amount of sensitive data. Cloud Business Intelligence is a new technology to handle big data storing, sharing, and computing. Business Intelligence is a management concept which discuses about data processing, and extracting business information from raw business data. It helps to improve business management and make optimized business decisions that leads to improve the performance and financial benefits of the organization. The other important technology for big data computing is the concept of cloud computing, a notion in information technology area. Cloud computing is a model which provides a general access to the shared resources and services, such as infrastructure, platform, and software. Cloud Business Intelligence refers to the combination of the mentioned technologies. This notion provides Business Intelligence as a service over a cloud environment. The goal of this research is exploring effects and factors of using cloud business intelligence in banking systems. This study addresses the benefits, problems, and challenges of using cloud business intelligence in the banking systems, and examines the impact of using this technology on the reliability and credibility of banking systems. The purpose of this study is helping banking systems to move from using traditional models towards applying cloud ones, increase reliability, availability, and transactions speed, reduce the cost of banks, and in other words, moving towards modern banking systems. The results help us to select the best type of cloud business intelligence for a specific organization based on the characteristics of that.","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":"116968046","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

DISCO: Distributed Computing as a Service DISCO:分布式计算即服务

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149216

Balázs Mészáros, P. Harsh, T. Bohnert

引用次数: 0

Low Latency Stream Processing: Apache Heron with Infiniband & Intel Omni-Path 低延迟流处理:Apache Heron与Infiniband和Intel Omni-Path

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147232

Supun Kamburugamuve, K. Ramasamy, M. Swany, G. Fox

引用次数: 14

RT-SANE: Real Time Security Aware Scheduling on the Network Edge RT-SANE:网络边缘上的实时安全感知调度

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147216

Anil Singh, Nitin Auluck, O. Rana, Andrew C. Jones, S. Nepal

{"title":"RT-SANE: Real Time Security Aware Scheduling on the Network Edge","authors":"Anil Singh, Nitin Auluck, O. Rana, Andrew C. Jones, S. Nepal","doi":"10.1145/3147213.3147216","DOIUrl":"https://doi.org/10.1145/3147213.3147216","url":null,"abstract":"Edge computing extends a traditional cloud data centre model often by using a micro data centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center (cdc). In this paper, we propose a security and deadline aware scheduling algorithm called RT-SANE (Real-Time Security Aware scheduling on the Network Edge). Applications with stringent privacy requirements are scheduled on an mdc closer to the user, whereas others can be scheduled on a cdc or a remote mdc. We also discuss how application performance and network latency influence the choice of an mdc or cdc. The intuition is that due to a lower communication latency between the user & the mdc, more applications are able to meet their deadlines when run on the mdc. Conversely, applications with loose deadlines may be executed on a cdc. In order to facilitate this, we also propose a distributed orchestration architecture and protocol that is both performance & security aware. Simulation results show that RTSANE offers superior real-time performance compared to a number of other scheduling policies in an Edge computing environment, while meeting application privacy requirements.","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":"128470370","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: 25

Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds? 基于奇点的容器技术为在HPC云上运行MPI应用做好准备了吗?

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147231

Jie Zhang, Xiaoyi Lu, D. Panda

{"title":"Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds?","authors":"Jie Zhang, Xiaoyi Lu, D. Panda","doi":"10.1145/3147213.3147231","DOIUrl":"https://doi.org/10.1145/3147213.3147231","url":null,"abstract":"The Message Passing Interface (MPI) standard has become the de facto programming model for parallel computing with the last 25-year continuous community effort. With the development of building efficient HPC clouds, more and more MPI-based HPC applications start running on cloud-based environments. Singularity is one of the most attractive container technologies to build HPC clouds due to the claimed reproducible environments across the HPC centers. However, our investigations in the literature show that there is a lack of a systematical study on evaluating the performance of Singularity with various benchmarks and applications on different types of HPC platforms. Without these studies, it remains difficult to tell the community whether Singularity-based container technology is ready or not for running MPI applications on HPC clouds to gain desired performance. To fill this gap in the literature, as a third-party, we first propose a four-dimension evaluation methodology to cover various aspects and based on that, we conduct extensive studies on evaluating the performance of Singularity on modern processors, and high-performance interconnects. Performance results prove that Singularity-based container technology can achieve near-native performance for both Intel Xeon and Intel Xeon Knights Landing (KNL) platforms with different memory access modes (i.e., cache, flat). Singularity also shows very little overhead for running MPI-based HPC applications on both Omni-Path and InfiniBand networks. With the verification of our results, we believe that Singularity can be used for building next-generation HPC clouds with near-native performance as well as desired cloud features such as easy management and deployment.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"57 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":"129325345","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: 26

Proactive Re-replication Strategy in HDFS based Cloud Data Center 基于HDFS的云数据中心的主动重复制策略

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3147221

T. Shwe, M. Aritsugi

{"title":"Proactive Re-replication Strategy in HDFS based Cloud Data Center","authors":"T. Shwe, M. Aritsugi","doi":"10.1145/3147213.3147221","DOIUrl":"https://doi.org/10.1145/3147213.3147221","url":null,"abstract":"Cloud storage systems use data replication for fault tolerance, data availability and load balancing. In the presence of node failures, data blocks on the failed nodes are re-replicated to other remaining nodes in the system randomly, thus leading to workload imbalance. Balancing all the server workloads namely, re-replication workload and current running user's application workload during the re-replication phase has not been adequately addressed. With a reactive approach, re-replication can be scheduled based on current resource utilization but by the time replication kicks off, actual resource usage may have changed as resources are continuously in use. In this paper, we propose a proactive re-replication strategy that uses predicted CPU utilization, predicted disk utilization, and popularity of the replicas to perform re-replication effectively while ensuring all the server workloads are balanced. We consider both reliability of a data block and performance status of nodes in making decision for re-replication. Simulation results from synthetic workload data demonstrate that all the servers' utilization is balanced and our approach improves performance in terms of re-replication throughput and re-replication time compared to baseline Hadoop Distributed File System (HDFS). Our proactive approach maintains the balance of resource utilization and avoids the occurrence of servers' overload condition during re-replication.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"10 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":"124122286","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

Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory 迈向数字孪生云平台:微服务和计算工作流来管理智能工厂

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149234

K. Borodulin, G. Radchenko, A. Shestakov, L. Sokolinsky, A. Tchernykh, R. Prodan

引用次数: 38

Cloud-Based Interactive Video Streaming Service 基于云的交互式视频流服务

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149451

M. Salehi

{"title":"Cloud-Based Interactive Video Streaming Service","authors":"M. Salehi","doi":"10.1145/3147213.3149451","DOIUrl":"https://doi.org/10.1145/3147213.3149451","url":null,"abstract":"A wide range of applications, from e-learning to natural disaster management are reliant on video streaming. Video streaming will construct more than 80% of the whole Internet traffic by 2019. Currently, video stream providers offer little or no interactive services on their streamed videos. Stream viewers, however, demand a wide variety of interactive services (e.g., dynamic video summarization or dynamic transcoding) on the streams. Taking into account the long tail access pattern to video streams, it is not feasible to pre-process all possible interactions for all video streams. Also, Processing them is also not feasible on energy- and compute-limited viewers' thin-clients. The proposed research provides a cloud-based video streaming engine that enables interactive video streaming. Interactive Video Streaming Engine (IVSE) is generic and video stream providers can customize it by defining their own interactive services, depending on their applications and their viewers' desires. The engine enacts the defined interactive services through on-demand processing of the video streams on potentially heterogeneous cloud services, in a cost-efficient manner, and with respect to stream viewers' QoS demands.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"202 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":"116218902","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

Utility-Driven Deployment Decision Making 实用程序驱动的部署决策

Proceedings of the10th International Conference on Utility and Cloud Computing Pub Date : 2017-12-05 DOI: 10.1145/3147213.3149375

Radhika Loomba, Thijs Metsch, L. Feehan, Joe Butler

引用次数: 4