Optimizing Computations and Allocations on High Performance and Cloud Computing Systems

Over the last decade, many research and development projects have focused on Cloud Computing systems. After forming around the early research papers and the first commercial cloud offerings in 2006-2008, the field has seen a tremendous progress and has provided the primary infrastructure and technology for applications at small, medium, and large scales. Cloud Computing systems have provided diverse on-demand resources to individual researchers and developers, groups and entire institutions, as well as commercial companies and government organizations. Clouds have also found their niche in scientific computing applications, offering attractive alternatives to High Performance Computing models and systems. While cloud economics and technologies have significantly matured recently, there is much active research revolving around topics such as optimality, usability, manageability, and reproducibility in the latest studies. This dissertation presents our findings and relevant developments at the intersection of Cloud Computing and such “flavors” of computing as High Performance Computing and High Throughput Computing. We primarily focus on optimality issues in this area and propose solutions that address the needs of individual researchers and research groups with limited computational and financial resources

Optimizing Computations and Allocations on High Performance and Cloud Computing Systems

Over the last decade, many research and development projects have focused on Cloud Computing systems. After forming around the early research papers and the first commercial cloud offerings in 2006-2008, the field has seen a tremendous progress and has provided the primary infrastructure and technology for applications at small, medium, and large scales. Cloud Computing systems have provided diverse on-demand resources to individual researchers and developers, groups and entire institutions, as well as commercial companies and government organizations. Clouds have also found their niche in scientific computing applications, offering attractive alternatives to High Performance Computing models and systems. While cloud economics and technologies have significantly matured recently, there is much active research revolving around topics such as optimality, usability, manageability, and reproducibility in the latest studies. This dissertation presents our findings and relevant developments at the intersection of Cloud Computing and such “flavors” of computing as High Performance Computing and High Throughput Computing. We primarily focus on optimality issues in this area and propose solutions that address the needs of individual researchers and research groups with limited computational and financial resources

In Datacenter Performance, The Only Constant Is Change

All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. This phenomenon originates from many sources: some transient, such as noisy neighbors, and others more permanent but sudden, such as changes or wear in hardware, changes in the underlying hypervisor stack, or even undocumented interactions between the policies of the computing resource provider and the active workloads. Thus, performance measurements obtained on clouds, HPC facilities, and, more generally, datacenter environments are almost guaranteed to exhibit performance regimes that evolve over time, which leads to undesirable nonstationarities in application performance. In this paper, we present our analysis of performance of the bare-metal hardware available on the CloudLab testbed where we focus on quantifying the evolving performance regimes using changepoint detection. We describe our findings, backed by a dataset with nearly 6.9M benchmark results collected from over 1600 machines over a period of 2 years and 9 months. These findings yield a comprehensive characterization of real-world performance variability patterns in one computing facility, a methodology for studying such patterns on other infrastructures, and contribute to a better understanding of performance variability in general.Comment: To be presented at the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid, http://cloudbus.org/ccgrid2020/) on May 11-14, 2020 in Melbourne, Victoria, Australi

Defining the Optimal Inventory Management Program Using Bellman’s Dynamic Programming Method

The paper treats the issue of the Bellman’s dynamic programming defining optimal inventory management program when the delivery and shipment dates are taken into consideration

3rd workshop on hot topics in cloud computing performance (HotCloudPerf'20):Performance variability

The organizers of the Third Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2020) are delighted to welcome you to the workshop proceedings as part of the ICPE conference companion. The HotCloudPerf 2020 workshop is a full-day workshop on Tuesday, April 21, taking place jointly with WOSP-C as part of the ICPE conference week in Edmonton, Canada. Each year, the workshop chooses a focus theme to explore; for 2020, the theme is "Performance variability of cloud datacenters and the implications of such phenomena on application performance" Cloud computing is emerging as one of the most profound changes in the way we build and use IT. The use of global services in public clouds is increasing, and the lucrative and rapidly

Cloud performance variability prediction

Cloud computing plays an essential role in our society nowadays. Many important services are highly dependent on the stable performance of the cloud. However, as prior work has shown, clouds exhibit large degrees of performance variability. Next to the stochastic variation induced by noisy neighbors, an important facet of cloud performance variability is given by changepoints—the in- stances where the non-stationary performance metrics exhibit per- sisting changes, which often last until subsequent changepoints occur. Such undesirable artifacts of the unstable application performance lead to problems with application performance evaluation and prediction efforts. Thus, characterization and understanding of performance changepoints become important elements of studying application performance in the cloud. In this paper, we showcase and tune two different changepoint detection methods, as well as demonstrate how the timing of the changepoints they identify can be predicted. We present a gradient-boosting-based prediction method, show that it can achieve good prediction accuracy, and give advice to practitioners on how to use our results.Computer Systems, Imagery and Medi

Композитные валики для арматуры контактной сети

For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT Development of contact networks feeding electrified railways has a trend to use the devices, structures and elements that can be maintained with less efforts and as rarely as possible. The article considers an alternative to application of rollers KS-084 regarding the Russian practices but also suggests approaches and useful tools that can be used on the whole while assessing different operation aspects of power supply systems. Theoretical studies of the permissible normative load on the wire fastening assembly, as well as the experimental verification, including the evaluation of the mechanical strength of GRP rollers for failure in accordance with OST 32.204-2002, showed the complete availability of the composite products offered for operation in the construction of overhead contact systems. Keywords: railway, contact network, catenary, armature, roller, fiberglass, composite, shear, load.Текст аннотации на англ. языке и полный текст статьи на англ. языке находится в прилагаемом файле ПДФ (англ. версия следует после русской версии).Одной из приоритетных задач в сфере развития контактной сети железных дорог является внедрение малообслуживаемого оборудования, конструкций и элементов. В статье рассмотрена альтернатива применению валиков КС-084. Теоретические исследования допустимой нормативной нагрузки на узел крепления проводов, как и экспериментальная проверка, включавшая оценку механической прочности стеклопластиковых валиков на срыв в соответствии с ОСТ 32.204-2002, показали полную готовность предлагаемых изделий к эксплуатации в конструкциях воздушных линий электропередачи

Self-managed Cost-efficient Virtual Elastic Clusters on Hybrid Cloud Infrastructures

In this study, we describe the further development of Elastic Cloud Computing Cluster (EC3), a tool for creating self-managed cost-efficient virtual hybrid elastic clusters on top of Infrastructure as a Service (IaaS) clouds. By using spot instances and checkpointing techniques, EC3 can significantly reduce the total execution cost as well as facilitating automatic fault tolerance. Moreover, EC3 can deploy and manage hybrid clusters across on-premises and public cloud resources, thereby introducing cloud bursting capabilities. We present the results of a case study that we conducted to assess the effectiveness of the tool based on the structural dynamic analysis of buildings. In addition, we evaluated the checkpointing algorithms in a real cloud environment with existing workloads to study their effectiveness. The results demonstrate the feasibility and benefits of this type of cluster for computationally intensive applications. © 2016 Elsevier B.V. All rights reserved.This study was supported by the program "Ayudas para la contratacion de personal investigador en formacion de caracter pre doctoral, programa VALi+d" under grant number ACIF/2013/003 from the Conselleria d'Educacio of the Generalitat Valenciana. We are also grateful for financial support received from The Spanish Ministry of Economy and Competitiveness to develop the project "CLUVIEM" under grant reference TIN2013-44390-R. Finally, we express our gratitude to D. David Ruzafa for support with the arduous task of analyzing the executions data.Calatrava Arroyo, A.; Romero Alcalde, E.; Moltó Martínez, G.; Caballer Fernández, M.; Alonso Ábalos, JM. (2016). Self-managed Cost-efficient Virtual Elastic Clusters on Hybrid Cloud Infrastructures. Future Generation Computer Systems. 61:13-25. https://doi.org/10.1016/j.future.2016.01.018S13256