Requirement Intensity Based Resource Provisioning for E-learning in Multi-Cloud to Avoid Vendor Lock- Ins: Brief Overview

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.