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Detecting anomalous behaviors of cloud platforms is one of critical tasks for cloud providers. Every anomalous behavior potentially causes incidents, especially some unaware and/or unknown issues, which severely harm their SLA (Service Level Agreement). Existing solutions generally monitor cloud platform at different layers and then detect anomalies based on rules or learning algorithms on monitoring...
Modern chip-level multiprocessors (CMPs) contain multiple processor cores sharing a common last-level cache, memory interconnects, and other hardware resources. Workloads running on separate cores compete for these resources, often resulting in highly-variable performance. To improve fairness and performance, it is helpful to co-schedule workloads having minimal cache and other forms of resource contention...
Performance anomaly is one of the key issues to threaten the Quality of Service of the applications in cloud. However, the complexities and consolidation of application, the fluctuation of workload or other factors make the anomaly detection a burdensome task. Traditional solutions exploit the metrics at system level to detect the anomaly. However, system level metrics are too coarse to remedy the...
This paper deals with a method to miniaturize an artificial magnetic conductor using interdigital capacitances. An artificial magnetic conductor with a resonance frequency of 2.66 GHz is designed and manufactured. The size of a unit cell is 15 χ 15 mm2 or 0.13 × 0.13 λο. The measurement result shows a resonance frequency slightly higher than the simulated one. Two circuit models are proposed to model...
Internet continues to serve as the dominating platform for sharing and delivering multimedia contents. kNN queries are an enabling functionality for many multimedia applications. However, scaling kNN queries over large highdimensional multimedia datasets remains challenging. In this paper we present Hike, a high performance multimedia kNN query processing system, it integrate the proposed novel Distance-Precomputation...
Traditionally, communication networks have been designed to tolerate few link and/or network equipment failures. With the wide deployment of network infrastructures and increasingly stringent requirement on network reliability, the multiple-failure scenario including large-scale damage have become the major thread to network survivability. Some research efforts have been recently devoted to the study...
MBR (Minimum Bounding Rectangle) has been widely used to represent multimedia data objects for multimedia indexing techniques. In kNN search, MINDIST and MINMAXDIST was the most popular pruning metrics employed by MBR based index structures. However, with the increase of dimensionality, the computation costs of above two metrics are expensive, and the involved distance computations may become the...
With the repaid development of multi-media and network, information are generated and spread quickly than before. New application such as search engine, video share depends on the scale and access speed of huge data set. Data-intensive computing became a hot point of computer science. In Data-intensive environments, data access ability is the bottleneck instead of computing ability. In this paper,...
High interprocess communication latency is detrimental to parallel and grid computing. Over the years, the network bandwidth has increased rapidly while the end-to-end latency has not decreased much. This is because the latency is dominated by the protocol software execution time in the kernel instead of the raw transmission time over the link. In this paper, we perform an anatomical analysis of the...
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