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Chapel is an emerging PGAS (Partitioned Global Address Space) language whose design goal is to make parallel programming more productive and generally accessible. To date, the implementation effort has focused primarily on correctness over performance. We present a performance measurement technique for Chapel and the idea is also applicable to other PGAS models. The unique feature of our tool is that...
For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model...
In this paper, we show that for a given pair of metrics, such as IGTE vs. IGFE, number of packets vs. number of network flows, etc., the functional relation between them may be complex and can not be described perfectly by linear equation. In order to capture this complex relationship, we make use of evidence function framework to automatically determine the optimal model for the metrics. Then we...
The real-time information on the Web changes dynamically and surge quickly, which cause considerable difficulty in access to interested information. How to mine hot events, how to analyze the correlation of events and how to organize information structurally are challenging tasks. In this paper, to address these problems, we propose STeller, an approach to mine context-aware story — a series of correlated...
A high-quality label layout is critical for effective information understanding and consumption. Existing labeling methods fail to help users quickly gain an overview of visualized data when the number of labels is large. Visual clutter is a major challenge preventing these methods from being applied to real-world applications. To address this, we propose a context-aware label layout that can measure...
Coding in a new metric space, the Enomoto-Katona space, is considered recently in connection to the study of implication structures of functional dependencies and their generalizations in relational databases. The central problem here is the determination of C(n, k, d), the size of an optimal code of length n, weight k, and distance d in the Enomoto-Katona space. The value of C(n, k, d) is known only...
In order to improve the development and quality of FLOSS, the OpenSource Maturity Model(OMM) has been proposed by the QualiPSo project. However, it is essential to check if it is effective. Therefore, this paper focuses on the research of OMM experiments approach to represent the experiment framework including the scope of the experiments, the subjects that took part, the tasks they performed, the...
In this paper, three joint processing schemes for the downlink are characterized and compared within a cluster of base stations. The motivation of this study is to analyze the performance of these schemes over the cluster area, as a first step towards designing an adaptive joint processing scheme supporting dynamic usage scenarios. Each one of the analyzed schemes, the centralized, partial and distributed...
Today's networked systems are extensively instrumented for collecting a wealth of monitoring data. In this paper, we propose a framework called System-wide Similarity Query (S2Q) to support a new type of similarity queries on monitoring data for managing complex networked systems. The similarity queries are defined on a novel data model that captures system states, and the implementation includes...
In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center design. We discovered interesting statistical properties on both static and temporal dimensions of the workload; they include file duration and popularity distributions, arrival rate dynamics and predictability, and workload...
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