SCDA: SLA-Aware Cloud Datacenter Architecture for Efficient Content Storage and Retrieval

Provided by: University of Idaho
Topic: Cloud
Format: PDF
With the fast growth of (online) content and the need for high quality content services, cloud data centers are increasingly becoming the preferred places to store data and retrieve it from. With a highly variable network traffic and limited resources, efficient server selection and data transfer rate allocation mechanisms become necessary. However, current approaches rely on random server selection schemes and inefficient data transmission rate control mechanisms. In this paper, the authors present SCDA, an efficient server selection, resource allocation and enforcement mechanism with many salient features. SCDA has prioritized rate allocation mechanism to satisfy different Service Level Agreements (SLA)s on throughput and delays. The allocation scheme can achieve max/min fairness. SCDA has a mechanism to detect and hence mitigate SLA violation in realtime.

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