Shengsheng Huang

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The MapReduce model is becoming prominent for the large-scale data analysis in the cloud. In this paper, we present the benchmarking, evaluation and characterization of Hadoop, an open-source implementation of MapReduce. We first introduce HiBench, a new benchmark suite for Hadoop. It consists of a set of Hadoop programs, including both synthetic(More)
Saliency in Context (SALICON) is an ongoing effort that aims at understanding and predicting visual attention. This paper presents a new method to collect large-scale human data during natural explorations on images. While current datasets present a rich set of images and task-specific annotations such as category labels and object segments, this work(More)
Although Big Data Cloud (e.g., MapReduce, Hadoop and Dryad) makes it easy to develop and run highly scalable applications, efficient provisioning and finetuning of these massively distributed systems remain a major challenge. In this paper, we describe a general approach to help address this challenge, based on distributed instrumentations and(More)
MapReduce and its popular open source implementation, Hadoop, are moving toward ubiquitous for Big Data storage and processing. Therefore, it is essential to quantitatively evaluate and characterize the Hadoop deployment through extensive benchmarking. In this paper, we present HiBench [1], a representative and comprehensive benchmark suite for Hadoop,(More)
Providing interactive control is a hot topic in crowd-navigation research. Here, the authors propose a simple but effective way for authoring a crowd scene. With their governing tool, users can easily drive the flow of crowds by sketching velocities on anchor points in the scene. This approach is fast enough to allow on-the-fly modification of vector fields.
Interactive control is one of the key issues when simulating crowd navigation in virtual environment. In this paper, we propose a simple but practical method for authoring crowd scenes in an effective and intuitive way. Radial Basis Functions (RBF) based vector field is employed as the governing tool to drive the motion flow. With this basic mathematical(More)
Eye tracking is commonly used in visual neuroscience and cognitive science to answer related questions such as visual attention and decision making. We envision that bigger eye-tracking data can advance the understanding of these questions due to the inherently complex nature of both the stimuli and the human cognitive process. The scale of current(More)
OBJECTIVE To establish a mouse model of spinal metastasis of human prostate cancer using fluorescence-labeled PC-3 cells to allow direct observation by in vivo imaging. METHODS PC-3 cells were infected with a lentivirus carrying green fluorescence protein (GFP) gene. The GFP-positive cell clone was expanded and prepared into cell suspension for injection(More)
We are on the verge of the “industrial revolution of Big Data,” which represents the next frontier for innovation, competition, and productivity.[1]. Big data is rich with promise, but equally rife with challenges—it extends beyond traditional structured (or relational) data, including unstructured data of all types; it is not only large in size, but also(More)
Red mud can use as remediation material to remediation for metal contaminated soil. On the basis, the particles were made and added in the soil from lead-zinc district. Through the five-step sequential extracting, different phases of lead have been extracted and determined. Effectiveness of remediation was measured by residue phase lead increased and other(More)
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