All-pairs: An abstraction for data-intensive cloud computing

Moretti, Christopher; Bulosan, J.; Thain, Douglas; Flynn, Patrick J.

doi:10.1109/ipdps.2008.4536311

Cited by 84 publications

(65 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are papers explaining the importance and relevance of data intensive research, and why it is essential for Cloud development and services (Moretti et al, 2008;Hey, 2009). This Cloud Bioinformatics allows plugs and play, which means adding additional hard disks to existing NAS, or new NAS, can still provide services in place.…”

Section: Plug and Play Features In Cloud Bioinformatics -How This Relmentioning

confidence: 99%

Cloud Bioinformatics in a Private Cloud Deployment

Chang

2015

Cloud Technology

View full text Add to dashboard Cite

show abstract

Section: Plug and Play Features In Cloud Bioinformatics -How This Relmentioning

confidence: 99%

Cloud Bioinformatics in a Private Cloud Deployment

Chang

2015

Cloud Technology

View full text Add to dashboard Cite

show abstract

“…There are papers explaining the importance and relevance of data intensive research, and why it is essential for Cloud development and services [22,26]. This Cloud Storage allows plugs and play, which means adding additional hard disks to existing NAS, or new NAS, can still provide services in place.…”

Section: Plug and Play Features In Cloud Storage For Data Intensive Rmentioning

confidence: 99%

Cloud Storage and Bioinformatics in a Private Cloud Deployment: Lessons for Data Intensive Research

Chang

Walters

Wills

2013

Communications in Computer and Information Science

View full text Add to dashboard Cite

Abstract. This paper describes service portability for a private cloud deployment, including a detailed case study about Cloud Storage and bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). Our Cloud Storage design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture and user support. Experiments for data services (backup automation, data recovery and data migration) are performed and results confirm backup automation is completed swiftly and is reliable for data-intensive research. The data recovery result confirms that execution time is in proportion to quantity of recovered data, but the failure rate increases in an exponential manner. The data migration result confirms execution time is in proportion to disk volume of migrated data, but again the failure rate increases in an exponential manner. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules and simulations for medical training. Our Cloud Storage solution described here offers cost reduction, timesaving and user friendliness.

show abstract

“…Data Mining: Another set of applications that perform data analysis can be classified in the "All-Pairs" class of applications [60]. These applications aim to understand the behavior of a function on two sets, or to learn the covariance of these sets on a standard inner product.…”

Section: Bioinformaticsmentioning

confidence: 99%