On Providing Deadline-Aware Cloud Storage Services

With the emergence of cloud computing and Big Data, many companies are increasingly relying on the cloud to store and retrieve tremendous amounts of data to leverage the scalability and performance offered by cloud storage services. As a result, data retrieval time has become of a paramount importance for cloud users especially. However, current data management systems are still not optimized to reduce such time. In this paper, we present a deadline-aware data request scheduling scheme, called DA-Resch, that aims at scheduling data requests in order to minimize data transfer times and to meet the deadlines specified by the users. We show through real experiments using OpenStack storage system (i.e., Swift) that, compared to the traditional Swift Client system, DA-Resch significantly increases the percentage of requests meeting their deadlines, reduces data transfer time and maximizes bandwidth usage.