Resource
allocation in cloud systems generally operates on the basis of the overall
usage. Academic clouds usually have specific requirements corresponding to
specific resources. This chapter presents a multi cloud resource provisioning
model that operates on the basis of the intensity of the user requirements. Another
major area being concentrated in the current study is the usage of e-Learning
materials. These materials tend to contain information that relies on heavy
bandwidth usage. Further, these materials are being accessed by external users
from different geographical locations. Hence by using multiple deployment
locations, access speed and usability could be improved and would also help in
effective management of workload. This chapter presents an effective mechanism
to enable cloud package selection specifically tuned to the needs of e-Learning
users. Region based user clustering is performed and cluster based quality
requirements are identified by this approach. These quality parameters are used
as the baseline requirements to select appropriate packages from cloud vendors.
Since the process is widespread and is across several geographical barriers,
multi cloud based package selection is preferred over utilizing a single cloud
provider to avoid vendor lock-ins.
Author(s) Details
Dr. C. Madhumathi
Department of Computer Applications (BCA), Bishop Heber College (Autonomous), Tiruchirapalli, Tamil Nadu, India.
Dr. Gopinath Ganapathy,
Bharathidasan University, Tiruchirapalli, Tamil Nadu, India.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/200
Author(s) Details
Dr. C. Madhumathi
Department of Computer Applications (BCA), Bishop Heber College (Autonomous), Tiruchirapalli, Tamil Nadu, India.
Dr. Gopinath Ganapathy,
Bharathidasan University, Tiruchirapalli, Tamil Nadu, India.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/200
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