报告题目：Big Data Analytics over Encrypted Datasets with Seabed

报 告 人：张建峰

报告时间：2017年6月14日（周三） 下午 2:00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：

This paper presents Seabed, a system that enables efficient analytics over large encrypted datasets. In contrast to previous systems, which rely on asymmetric encryption schemes, Seabed uses a novel, additively symmetric homomorphic encryption scheme (ASHE) to perform large-scale aggregations efficiently.

报告题目：Understanding I/O Performance Behaviors of Cloud Storage from a Client’s Perspective

报 告 人：张建平

报告时间：2017年6月14日（周三） 下午 2:00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：

In this paper , Cloud storage has gained increasing popularity in the past few years. For such a new storage model, our prior wisdom about conventional storage may not remain valid nor applicable to the emerging cloud storage. In this paper, we present a comprehensive study and attempt to gain insight into the unique characteristics of cloud storage, primarily from the client’s perspective.