Fazlina Binti Mohd Ali
ABSTRACT
The cloud replication environment is an established and prominent technology globally recognized to deal with the issue of high-volume data that users are expected to access from anywhere at any time. Abundant researchers embarked their efforts to develop heterogeneous strategies to complement the ambiguities of cloud platform and system requirements. Regardless the resilient and durable service technologies provided by cloud providers, the limitation in respective cloud replication strategies are inevitable. The key issue is when acquired data demanded to be always accessible to users irrespective of time and location, appears to be crucial problem which is relative to many inefficient system implementations. Therefore, we selected existing research work named “Dynamic Popularity aware Replication Strategy (DPRS) and concentrated on finding the research strength, gaps and limitations. A thorough case study was conducted via establishing re-simulation on DPRS algorithm and rigorous review was focused on the algorithm process flow. Subsequently, this study specifically reveals the limitations in particular algorithm and proposed potential area for improvements. The case study was simulated using simulation tools called, CloudSim. In order to optimize multi-performance in cloud replication environments, algorithms are presented as part of the proposed model. Finally, analytical results and discussion are shared to evidence proposed algorithms are explicitly contributes betterments in storage consumptions, data availability, network usage and replication frequency.
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