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High-Performance Storage Support for Scientific Applications on the Cloud

Dongfang Zhao, Xu Yang, Iman Sadooghi, Gabriele Garzoglio, Steven Timm, Ioan Raicu
2015 Proceedings of the 6th Workshop on Scientific Cloud Computing - ScienceCloud '15  
Although cloud computing has become one of the most popular paradigms for executing data-intensive applications (for example, Hadoop), the storage subsystem is not optimized for scientific applications  ...  We believe that when executing scientific applications in the cloud, a node-local distributed storage architecture is a key approach to overcome the challenges from the conventional shared/parallel storage  ...  One issue for scientific applications to be deployed on the cloud lies in the storage subsystem.  ... 
doi:10.1145/2755644.2755648 dblp:conf/hpdc/ZhaoYSGTR15 fatcat:3h2ay4o6ajd4rjtzyzckollfwe

An Investigation on Applications of Cloud Computing in Scientific Computing [chapter]

Huiying Chen, Feng Wang, Hui Deng
2011 Communications in Computer and Information Science  
Cloud computing provides a new computing pattern for scientific computing, which could make scientists dynamically access to computing infrastructure on demand, such as computing, storage resources and  ...  This thesis starts with the introduction of cloud computing, and then probes into the application prospect and results of cloud computing in scientific computing.  ...  Acknowledgment This work is primarily supported by Yunnan Computer Technology Application Key Lab in Kunming University of Science and Technology.  ... 
doi:10.1007/978-3-642-24022-5_33 fatcat:nraagq2o6ndu3pq432ngyxyy6q

Evaluating storage systems for scientific data in the cloud

Ketan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor Zavala, Michael Wilde
2014 Proceedings of the 5th ACM workshop on Scientific cloud computing - ScienceCloud '14  
We also find that storage-system driven application deployments in the cloud results in better runtime performance compared with an on-demand datastaging driven approach.  ...  Infrastructure-as-a-Service (IaaS) clouds are an appealing resource for scientific computing.  ...  We thank Amazon for AWS Amazon research grant award. Some work by DSK was supported by the National Science Foundation, while working at the Foundation.  ... 
doi:10.1145/2608029.2608034 dblp:conf/hpdc/MaheshwariWYKRZW14 fatcat:3rtqegs4rrbdxorejqj72hb76a

Cloud computing for small research groups in computational science and engineering: current status and outlook

Hong-Linh Truong, Schahram Dustdar
2010 Computing  
In this paper, we have analyzed current status of supporting tools for small CSE groups to utilize cloud computing.  ...  the complexity of computational and data infrastructure for their research, while cloud computing aims to eliminate that complexity from the user.  ...  Acknowledgments The work in this paper is motivated from our discussion with around 40 Austrian scientists who gathered to discuss the current status of CSE research and collaboration [48] .  ... 
doi:10.1007/s00607-010-0120-1 fatcat:cipmrfyx5bbbxedsk3d4iokroa


Kitty Ahuja .
2014 International Journal of Research in Engineering and Technology  
This paper focuses on enabling and scaling computing systems to support the execution of scientific and business applications.  ...  While cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that  ...  HIGH PERFORMANCE COMPUTING AND CLOUD COMPUTING INTERVENTIONS FOR SCIENTIFIC APPLICATIONS Research and development activities are focused on enabling and scaling scientific applications using distributed  ... 
doi:10.15623/ijret.2014.0301070 fatcat:xxctnysnmfbsrlbgqq52ij7xp4

DataSteward: Using Dedicated Compute Nodes for Scalable Data Management on Public Clouds

Radu Tudoran, Alexandru Costan, Gabriel Antoniu
2013 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications  
However, the storage services proposed by cloud providers suffer from high latencies, trading performance for availability.  ...  This collocated storage supports a high throughput but it can be very intrusive and subject to failures that can stop the host node and degrade the application performance.  ...  ACKNOWLEDGMENT This work was supported by the joint INRIA-Microsoft Research Center.  ... 
doi:10.1109/trustcom.2013.129 dblp:conf/trustcom/TudoranCA13 fatcat:ja3sbkwjfjaetnoty7unqyzose

A performance evaluation of Azure and Nimbus clouds for scientific applications

Radu Tudoran, Alexandru Costan, Gabriel Antoniu, Luc Bougé
2012 Proceedings of the 2nd International Workshop on Cloud Computing Platforms - CloudCP '12  
We compare the Azure and Nimbus clouds, considering all the primary needs of scientific applications (computation power, storage, data transfers and costs).  ...  The emergence of cloud computing brought the opportunity to use large-scale computational infrastructures for a broad spectrum of scientific applications.  ...  The main issues for the scientific applications arise from the impact of the data transfer protocols on the throughput, size limitations on the data objects, the coarse-grain access and the little support  ... 
doi:10.1145/2168697.2168701 fatcat:fwyk7pws4zhfxcdsmniwxacwcy

Evaluating caching and storage options on the Amazon Web Services Cloud

David Chiu, Gagan Agrawal
2010 2010 11th IEEE/ACM International Conference on Grid Computing  
With the availability of on-demand compute and storage infrastructures, many users are deploying data-intensive scientific applications onto Clouds.  ...  While tangential analyses have recently been proposed, ours in contrast focuses on cost and performance tradeoffs of maintaining a data cache with varying parameters of any Cloud application.  ...  Vecchiola, et al. deployed medical imaging application onto Aneka, their Cloud middleware [17] . An analysis on using storage Clouds [14] for large-scale projects have also been performed.  ... 
doi:10.1109/grid.2010.5697949 dblp:conf/grid/ChiuA10 fatcat:ynyysik5fngu3ok5frx47pe3ka

The application of cloud computing to scientific workflows: a study of cost and performance

G. B. Berriman, E. Deelman, G. Juve, M. Rynge, J.-S. Vockler
2012 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Processing will instead often take place on high-performance servers co-located with data.  ...  We report here the results of investigations of the applicability of commercial cloud computing to scientific computing, with an emphasis on astronomy, including investigations of what types of applications  ...  Running scientific applications on academic clouds (a) Development of academic clouds Clouds are under development in academia to evaluate technologies and support research in the area of on-demand computing  ... 
doi:10.1098/rsta.2012.0066 pmid:23230152 fatcat:6uwot47ocvay3lykbud53n77mi

A Taxonomy and Survey on eScience as a Service in the Cloud [article]

Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim
2014 arXiv   pre-print
We review recent efforts in developing and deploying scientific computing applications in the cloud.  ...  In particular, we introduce a taxonomy specifically designed for scientific computing in the cloud, and further review the taxonomy with four major kinds of science applications, including life sciences  ...  Since Aneka supports an extensible set of programming models, it can address a variety of different applications and thus offers a good opportunity for scientific applications to develop on the cloud with  ... 
arXiv:1407.7360v1 fatcat:doofgetfezel3f6glfkjluxqta

Recent work in utility and cloud computing

Geoffrey Fox, Shrideep Pallickara
2013 Future generations computer systems  
These articles encompass the following broad areas: (1) Cloud pricing and governance (2) Cloud runtimes and their support for iterative and scientific applications (3) Storage systems that scale with data  ...  As cloud deployments become pervasive, cloud runtimes must be able to support diverse applications beyond the ones that can be efficiently supported using the traditional MapReduce programming model.  ...  These articles encompass the following broad areas: (1) Cloud pricing and governance (2) Cloud runtimes and their support for iterative and scientific applications (3) Storage systems that scale with data  ... 
doi:10.1016/j.future.2013.01.002 fatcat:gxj4rjqso5cf7b7qpunzys6zya

The Design of a Community Science Cloud: The Open Science Data Cloud Perspective

Robert L. Grossman, Matthew Greenway, Allison P. Heath, Ray Powell, Rafael D. Suarez, Walt Wells, Kevin White, Malcolm Atkinson, Iraklis Klampanos, Heidi L. Alvarez, Christine Harvey, Joe J. Mambretti
2012 2012 SC Companion: High Performance Computing, Networking Storage and Analysis  
The goal of the OSDC is to provide petabyte-scale data cloud infrastructure and related services for scientists working with large quantities of data.  ...  In this paper we describe the design, and implementation of the Open Science Data Cloud, or OSDC.  ...  They connect to high performance 10G and 100G networks, they support high performance storage, and they have support staff that are familiar with the problems arising when managing and transporting large  ... 
doi:10.1109/sc.companion.2012.127 dblp:conf/sc/GrossmanGHPSWWAKAHM12 fatcat:hxlb5kykave43kq2aa3quqo6wm

A Cache-Based Data Movement Infrastructure for On-demand Scientific Cloud Computing [chapter]

David Abramson, Jake Carroll, Chao Jin, Michael Mallon, Zane van Iperen, Hoang Nguyen, Allan McRae, Liang Ming
2019 Lecture Notes in Computer Science  
As cloud computing has become the de facto standard for big data processing, there is interest in using a multi-cloud environment that combines public cloud resources with private on-premise infrastructure  ...  The system is evaluated on Amazon AWS and the Australian national cloud.  ...  We thank Amazon and HUAWEI for contributing cloud resources to this research project.  ... 
doi:10.1007/978-3-030-18645-6_3 fatcat:owc6xwtlkndfxnghwd63caxuuy

Understanding the Performance and Potential of Cloud Computing for Scientific Applications

Iman Sadooghi, Jesus Hernandez Martin, Tonglin Li, Kevin Brandstatter, Ketan Maheshwari, Tiago Pais Pitta de Lacerda Ruivo, Gabriele Garzoglio, Steven Timm, Yong Zhao, Ioan Raicu
2017 IEEE Transactions on Cloud Computing  
We also evaluate the performance of the scientific applications running in the cloud.  ...  This paper aims to assess the ability of the cloud to perform well, as well as to evaluate the cost of the cloud running scientific applications.  ...  This work was also possible in part due to the Amazon AWS Research Grants. We thank V. Zavala of ANL for power grid application.  ... 
doi:10.1109/tcc.2015.2404821 fatcat:xfrv3mmhozejjogccqdezlg45u


Lavanya Ramakrishnan, Anping Liu, Piotr T. Zbiegel, Scott Campbell, Rick Bradshaw, Richard Shane Canon, Susan Coghlan, Iwona Sakrejda, Narayan Desai, Tina Declerck
2011 Proceedings of the 2nd international workshop on Scientific cloud computing - ScienceCloud '11  
However, there is a limited understanding on how to operate and use clouds for scientific applications.  ...  Cloud resources promise to be an avenue to address new categories of scientific applications including data-intensive science applications, on-demand/surge computing, and applications that require customized  ...  The testbed is architected for flexibility and to support research. The hardware deployed is similar to high-end hardware in HPC clusters, thus catering to scientific applications Argonne.  ... 
doi:10.1145/1996109.1996119 fatcat:d2qjc7ckcbb6fegpoklmquvkpq
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