Are Public Clouds Elastic Enough for Scientific Computing?

被引：0
作者：
Galante, Guilherme [1 ]
Erpen De Bona, Luis Carlos [1 ]
Mury, Antonio Roberto [2 ]
Schulze, Bruno [2 ]
机构：
[1] Fed Univ Parana UFPR, Dept Informat, Curitiba, Parana, Brazil
[2] Natl Lab Sci Comp LNCC Petrpolis, Petrpolis, RJ, Brazil
来源：
SERVICE-ORIENTED COMPUTING - ICSOC 2013 WORKSHOPS | 2014年 / 8377卷
关键词：
Cloud computing; elasticity; scientific applications;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Elasticity can be seen as the ability of a system to increase or decrease the computing resources allocated in a dynamic and on demand way. It is an important feature provided by cloud computing, that has been widely used in web applications and is also gaining attention in the scientific community. Considering the possibilities of using elasticity in this context, a question arises: "Are the available public cloud solutions suitable to support elastic scientific applications?" To answer the question, we present a review of some solutions proposed by public cloud providers and point the open issues and challenges in providing elasticity for scientific applications. We also present some initiatives that are being developed in order to overcome the current problems. In our opinion, current computational clouds have not yet reached the necessary maturity level to meet all scientific applications elasticity requirements.
引用
收藏
页码：294 / 307
页数：14
相关论文
共 39 条
  • [21] Kranjc Janez, 2012, Machine Learning and Knowledge Discovery in Databases. Proceedings of the European Conference (ECML PKDD 2012), P816, DOI 10.1007/978-3-642-33486-3_54
  • [22] Marshall Paul, 2010, Proceedings 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), P43, DOI 10.1109/CCGRID.2010.80
  • [23] Ming Mao, 2012, 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), P423, DOI 10.1109/CLOUD.2012.103
  • [24] Oliveira D., MIGRATING SCI EXPT C
  • [25] SLA-driven Elastic Cloud Hosting Provider
    Oriol Fito, J.
    Goiri, Inigo
    Guitart, Jordi
    [J]. PROCEEDINGS OF THE 18TH EUROMICRO CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING, 2010, : 111 - 118
  • [26] Pandey S., 2011, Cloud Computing: Principles and Paradigms, P321, DOI DOI 10.1002/9780470940105.CH12
  • [27] Rajan D., 2011, Proceedings of the 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science (CloudCom 2011), P383, DOI 10.1109/CloudCom.2011.58
  • [28] Raveendran A., 2011, 2011 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, P940, DOI 10.1109/IPDPS.2011.240
  • [29] Roy N, 2011, INT CONF PERVAS COMP, P63, DOI 10.1109/PERCOM.2011.5767596
  • [30] Shams Khawaja S., 2010, Proceedings 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), P606, DOI 10.1109/CCGRID.2010.117
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