SKICEWICZ, J., DINDA,P.,AND SCHOPF, J. Multi-resolution resource behavior queries using wavelets. In Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC 2001. Home/Search Document Details and Download
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Multiscale Predictability of Network Traffic - Qiao, Skicewicz, Dinda (2004) (2 citations) Self-citation (Skicewicz Dinda) (Correct)
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SKICEWICZ, J., DINDA,P.,AND SCHOPF, J. Multi-resolution resource behavior queries using wavelets. In Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC 2001.
An Empirical Study of the Multiscale Predictability of Network .. - Yi Qiao Jason (2003) (1 citation) Self-citation (Skicewicz Dinda) (Correct)
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SKICEWICZ, J., DINDA, P., AND SCHOPF, J. Multiresolution resource behavior queries using wavelets. In Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC 2001.
Multiscale Predictability of Network Traffic - Qiao, Skicewicz, Dinda (2002) (2 citations) Self-citation (Skicewicz Dinda) (Correct)
....can make due with low resolution. Note that a one step ahead prediction of a low resolution signal corresponds to a long range prediction in time. To easily support this need for multi resolution views of resource signals, we have proposed disseminating them using a wavelet domain representation [32]. A sensor would capture a one dimensional signal at high resolution and apply an # level streaming wavelet transform to it, generating # signals with exponentially decreasing resolutions and sample rates. Tools like the MTTA would then reconstruct the signal at the resolution they require by ....
....necessary to reconstruct the sensor s output to the resolution it requires, using just the bandwidth necessary for that resolution. Other applications could subscribe to other subsets of the approximations and details. An initial study on the prospects for this are given in an earlier paper [32]. Other techniques, such as wavelet denoising, for further compression of the signal could be applied before it is sent over the network. Our second purpose is to support predictions of sensor output at many different timescales, such as was described in the introduction s discussion of the ....
SKICEWICZ, J., DINDA,P.,AND SCHOPF, J. Multi-resolution resource behavior queries using wavelets. In Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC 2001.
Exploiting Packet Header Redundancy for Zero Cost Dissemination of .. - Dinda (2002) (1 citation) Self-citation (Dinda) (Correct)
....producers to consumers can potentially consume a significant portion of the available network bandwidth, especially when there are many resources being monitored. The general approach to this problem is to encode the data in the most efficient way possible given the constraints of the consumers [12, 15]. However, even if such methods are used and the bandwidth consumed is limited, it is still the case that additional packets are introduced into the network, packets that may interact badly with the non monitoring traffic. Here, we propose an orthogonal technique that could be used to avoid ....
SKICEWICZ, J., DINDA, P., AND SCHOPF, J. Multi-resolution resource behavior queries using wavelets. In Proceedings of the 10th IEEE Symposium on High-Performance Distributed Computing (HPDC 2001) (August 2001), pp. 395--405.
Tsunami: A Wavelet Toolkit for Distributed Systems - Skicewicz, al. (2003) (Correct)
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J. Skicewicz, P. Dinda, and J. Schopf. Multi-resolution resource behavior queries using wavelets. In Proceedings of the 10th Intl. Symp. on High Performance Distriubuted Computing (HPDC-10), pages 395--405, San Francisco, CA, August 2001.
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