Xingjun Hao

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The rapid development of Internet of Things (IoT) enables people to track objects by deploying multiple sensors, e.g., to track people in indoor spaces using RFID sensors. Multi-sensor object-tracking data are usually produced as records, which are thereby organized into small files and written to servers. However, the small-size property and high(More)
On-Line Analytical Processing (OLAP) enables powerful analytics by quickly computing aggregate values of numerical measures over multiple hierarchical dimensions for massive datasets. However, many types of source data, e.g., from GPS, sensors, and other measurement devices, are intrinsically inaccurate (imprecise and/or uncertain) and thus OLAP cannot be(More)
Phase change memory (PCM) has emerged as a promising candidate for next-generation memories, owing to its low power consumption, non-volatility, and high storage-density. However, PCM has limited write endurance, i.e., it can only undergo a limited number of write operations, leading to a short lifecycle. Thus, it is an important issue to find out an(More)
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