Sentence examples for scalable adaptive from inspiring English sources

In this thesis, we explore these issues by developing a scalable, adaptive and network-aware infrastructure for efficient content delivery, namely Scalable Content Access Network (SCAN).

J. Chang, J. Meister, P. R. Prucnal, "Implementing a novel highly scalable adaptive photonic beamformer using "blind" guided accelerated random search", IEEE/OSAJournal of Lightwave Technology, vol. 32, no.

J. Chang, M. P. Fok, R. M. Corey, J. Meister, and P. R. Prucnal, "Highly scalable adaptive photonic beamformer using a single mode to multimode optical combiner," IEEE Microwave and Wireless Component Letters, vol. 23, no. 10, pp. 563 565, Oct. 2013.

In this architecture, the display nodes and rendering nodes typically use a middleware such as scalable adaptive graphics environment (SAGE), a specialized graphics streaming architecture and middleware.

Our results show that RACE is a scalable adaptive resource management framework and yields a predictable and high-performance system, even in the face of changing operational conditions and input workload.

We show that SeCond is a scalable and adaptive protocol which takes the heterogeneity of the peers into account.

Thus, it is profitable to have on-the-shelf shell scalable and adaptive hardware designs that implement these soft techniques.

Some important mechanisms in neuroendocrine-immune (NEI) system are inspired to design a decentralized, evolutionary, scalable, and adaptive system for Web service composition and management.

In particular, scalable and adaptive implementations of gradient-based optimisation methods are presented for both multi-core CPUs and field programmable gate arrays.

This paper will discuss the code development and computational science research (e.g. domain decomposition, scalable eigensolvers, adaptive mesh refinement) that have enabled the large-scale simulations needed for meeting the computational challenges posed by the NLC as well as projects such as the PEP-II and RIA.

In this paper, we propose a novel real-time scalable and adaptive collaborative filtering algorithm, SASCF, suitable for personalized and item-to-item recommendations, in which the underlying neighborhood-based model is updated on-the-fly with the streaming user feedback.