Amazon S3 for science grids: a viable solution?
By Mayur Palankar, Adriana Iamnitchi, Matei Ripeanu, Simson L. Garfinkel. DADC '08, 2008
495 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/1d809b769a9bb75fbc64b1f6f43248e52c7b0541
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Marty A. Humphrey
- Ming Mao
- Jie Li
- Ewa Deelman
- Franck Cappello
- Bahman Javadi
- Paul Malecot
- Derrick Kondo
In Information Systems
- Marty A. Humphrey
- Ming Mao
- Jie Li
- Bahman Javadi
- Franck Cappello
- Paul Malecot
- Derrick Kondo
- Ewa Deelman
Citations in the corpus
- The cost of doing science on the cloud: The Montage example (2008, background): “Some recent work have focused mainly on the performance issues related with these services [35].”
- MetaCDN: Harnessing 'Storage Clouds' for high performance content delivery (2009, unknown): “Whilst individual Storage Clouds have been trialled successfully for application domains such as Science Grids (Palankar et al., 2007; Matei Ripeanu, 2007) and offsite file backup (Jungle Disk, Inc.,), their utility for general purpose content delivery, which requires low latency and high throughput,”
- Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud (2010, background): “In addition, previous work has examined the performance of individual Amazon AWS components, e.g., the simple storage service (S3) [20].”
- Cost-benefit analysis of Cloud Computing versus desktop grids (2009, background): “In [23], the authors consider the Amazon data storage service S3 for scientific data-intensive applications.”
- An Early Performance Analysis of Cloud Computing Services for Scientific Computing (2008, unknown): “The security of the Amazon services has been investigated elsewhere [ 34 ].”
- Cloud auto-scaling with deadline and budget constraints (2010, background): “Their configuration and prices are borrowed from the Amazon Web Service [6] and related performance studies [105][106].”
- On the Performance Variability of Production Cloud Services (2011, background): “A number of studies [6]‐[ 8 ], [8]‐[11], including our previous work [11], investigate the performance of AWS, but none investigate the performance variability or even system availability for a period of over two months.”