In cloud, do MTC or HTC service providers benefit from the economies of scale?
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers
Decentralized Resource Availability Prediction for a Desktop Grid
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Pools of virtual boxes: building campus grids with virtual machines
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Journal of Parallel and Distributed Computing
An automated approach to cloud storage service selection
Proceedings of the 2nd international workshop on Scientific cloud computing
Practical cloud evaluation from a nordic eScience user perspective
Proceedings of the 5th international workshop on Virtualization technologies in distributed computing
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
Proceedings of the 20th international symposium on High performance distributed computing
Towards a Powerful European DCI Based on Desktop Grids
Journal of Grid Computing
Mobile Networks and Applications
An efficient broker cloud management system
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
MATE-EC2: a middleware for processing data with AWS
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
Future Generation Computer Systems
A data dependency based strategy for intermediate data storage in scientific cloud workflow systems
Concurrency and Computation: Practice & Experience
A cost model for hybrid clouds
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise
Software—Practice & Experience
SpeQuloS: a QoS service for BoT applications using best effort distributed computing infrastructures
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
Deadline-driven provisioning of resources for scientific applications in hybrid clouds with Aneka
Future Generation Computer Systems
Failure-aware resource provisioning for hybrid Cloud infrastructure
Journal of Parallel and Distributed Computing
SAPDS: self-healing attribute-based privacy aware data sharing in cloud
The Journal of Supercomputing
VMR: volunteer MapReduce over the large scale internet
Proceedings of the 10th International Workshop on Middleware for Grids, Clouds and e-Science
An economic and energy-aware analysis of the viability of outsourcing cluster computing to a cloud
Future Generation Computer Systems
On a Catalogue of Metrics for Evaluating Commercial Cloud Services
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
Enhancing performance of failure-prone clusters by adaptive provisioning of cloud resources
The Journal of Supercomputing
Future Generation Computer Systems
Scientific computing with Google App Engine
Future Generation Computer Systems
Cost models - pillars for efficient cloud computing: position paper
International Journal of Intelligent Systems Technologies and Applications
Improving data transfer performance of web service workflows in the cloud environment
International Journal of Computational Science and Engineering
SpeQuloS: a QoS service for hybrid and elastic computing infrastructures
Cluster Computing
Hi-index | 0.00 |
Cloud Computing has taken commercial computing by storm. However, adoption of cloud computing platforms and services by the scientific community is in its infancy as the performance and monetary cost-benefits for scientific applications are not perfectly clear. This is especially true for desktop grids (aka volunteer computing) applications. We compare and contrast the performance and monetary cost-benefits of clouds for desktop grid applications, ranging in computational size and storage. We address the following questions: (i) What are the performance tradeoffs in using one platform over the other? (ii) What are the specific resource requirements and monetary costs of creating and deploying applications on each platform? (iii) In light of those monetary and performance cost-benefits, how do these platforms compare? (iv) Can cloud computing platforms be used in combination with desktop grids to improve cost-effectiveness even further? We examine those questions using performance measurements and monetary expenses of real desktop grids and the Amazon elastic compute cloud.