Z. Luan

The Hadoop Distributed File System (HDFS) is a distributed storage system that stores large-scale data sets reliably and streams those data sets to applications at high bandwidth. Expand

We propose an integrated VM power model called iMeter, which overcomes the drawbacks of overpresumption and overapproximation in segregated power models used in previous studies. Expand

We apply principal component analysis and cluster analysis to 45 different metrics, which derive relationships between workload characteristics and corresponding performance under different Hadoop configurations. Expand

This paper presents a virtual machine mapping policy based on multi-resource load balancing, which resolves the load balancing conflicts of each independent resource caused by different demand for resources of cloud applications. Expand

We propose a statistic analysis approach to identify the relationships among workload characteristics, Hadoop configurations and workload performance. Expand

We identify several workload metrics that have strong correlations with energy consumption. Expand

Dressing the problem of virtual screening is a long-term goal in the drug discovery field, which if properly solved, can significantly shorten new drugs’ R&D cycle. Expand

In this paper, (1) we propose resource-aware non-uniform slack distribution to enhance the schedulability ofRT tasks (the total amount of work of RT tasks whose deadlines can be satisfied on a given amount of resources) in GPU-enabled systems; we propose deadline-aware dynamic GPU partitioning to allow RT and BE tasks to run on a GPU simultaneously. Expand

We formalize the operator placement problem with network usage as the optimization objective and use two resource allocation related QoS metrics: throughput and end-to-end delay. Expand

We propose swTVM that extends the original TVM to support ahead-of-time compilation for architecture requiring cross-compilation such as Sunway. Expand