Application-level scheduling on distributed heterogeneous networks
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Future Generation Computer Systems
Communications of the ACM
Cloud computing and developing nations
Communications of the ACM
Dynamic resource allocation for shared data centers using online measurements
IWQoS'03 Proceedings of the 11th international conference on Quality of service
The Tower and the Cloud: Higher Education in the Age of Cloud Computing
The Tower and the Cloud: Higher Education in the Age of Cloud Computing
Tactile hand gesture recognition through haptic feedback for affective online communication
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part II
Towards autonomic detection of SLA violations in Cloud infrastructures
Future Generation Computer Systems
A cost model for hybrid clouds
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
How to do successful chargeback for cloud services
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Virtual machine placement for predictable and time-constrained peak loads
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Risk assessment in service provider communities
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Cloud computing for education: A new dawn?
International Journal of Information Management: The Journal for Information Professionals
| Hi-index | 0.00 |
Educational institutions have become highly dependent on information technology to support the delivery of personalised material, digital content, interactive classes, and others. These institutions are progressively transitioning into Cloud Computing technology to shift costs from locally-hosted services to a "renting model" often with higher availability, elasticity, and resilience. However, in order to properly explore the cost benefits of the pay-as-you-go business model, there is a need for processes for resource allocation, monitoring, and self-adjustment that take advantage of characteristics of the application domain. In this paper we perform a numerical analysis of three resource allocation methods that work by (i) pre-allocating resource capacity to handle peak demands; (ii) reactively allocating resource capacity based on current demand; and (iii) proactively allocating and releasing resources prior to load increases or decreases by exploring characteristics of the educational domain and more precise information about expected demand. The results show that there is an opportunity for both educational institutions and Cloud providers to collaborate in order to enhance the quality of services and reduce costs.