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17 Apr 2019 ... So let's play with a few more and find the best OCR software for your needs. OCR Using Microsoft OneNote. Microsoft OneNote has advanced OCR functionality which works on both pictures and handwritten notes. SimpleOCR. Photo Scan. (a9t9) Free OCR Windows App. Capture2Text. Easy Screen OCR . 99 comments Write a Comment.

What sort of equipment do you need at your DR site What we offer in the following is not a complete list, but it makes a good starting point. Once again, different organizations will have different requirements for exactly what equipment they need at their DR site. The following are some of the items you will need: Computer equipment. For our purposes, it all starts with computer equipment. Do you have enough systems, both servers and desktops, to recover and then resume operating your business Will there be a decrease in performance and service Is everyone whom the decrease might affect aware of the limitations that will be imposed by a switchover to the DR site Have they accepted them Network equipment. Do you have sufficient bandwidth at the DR site to interconnect servers, clients, the Internet, and remote users Do you have private connections to your suppliers and customers Do those connections also go to their DR sites Network equipment includes LANs, WANs, and all of the additional networking equipment. Storage. Do you have all the disk drives, tape drives, and other storage devices that you ll need at your DR site



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Fractal network traf c modeling: past, present, and future In Proc 25th Allerton Conference on Communication, Control and Computing, pp 252 260, 1996 60 G Samorodnitsky and M Taqqu Stable Non-Gaussian Random Processes: Stochastic Models with In nite Variance Chapman and Hall, New York, 1994 61 A Shaikh, J Rexford, and K Shin Load-sensitive routing of long-lived IP ows In Proc ACM SIGCOMM '99, pp 215 226, 1999 62 M Taqqu, W Willinger, and R Sherman Proof of a fundamental result in self-similar traf c modeling Comput Commun Rev, 26:5 23, 1997 63 M S Taqqu and J B Levy Using renewal processes to generate long-range dependence and high variability In E Eberlein and M S Taqqu, eds, Progress in Probability and Statistics, Vol 11 Birkhauser, Boston, 1996 64 M S Taqqu, V Teverovsky, and W Willinger Estimators for long-range dependence: an empirical study, 1995 Preprint 65 B.





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Disk drives. Do you have sufficient disk space at the DR site to hold everything that you need right away Is the storage accessible by the systems that will need it Is the storage appropriately mirrored If your primary site survived, or if you have an additional DR site, you may want to make sure you can replicate your data to still another site. Tape drives and tapes. One of the lessons learned in the aftermath of September 11, 2001, in New York was that a lot of organizations did not have enough tape drives at their DR sites to restore their data

Tsybakov and N D Georganas On self-similar traf c in ATM queues: de nitions, over ow probability bound and cell delay distribution IEEE=ACM Trans Networking, 5(3):379 409, 1997 66 B Tsybakov and ND Georganas Self-similar traf c and upper bounds to buffer over ow in an ATM queue Performance Evaluation, 36(1):57 80, 1998..

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and systems quickly. Since it takes longer to restore than to backup, you may need more tape drives in your DR site than in your primary site. You ll also want to start taking backups, after you ve settled in at the DR site. Do you have enough tapes on site for that effort

67. T. Tuan and K. Park. Multiple time scale congestion control for self-similar network traf c. Performance Evaluation, 36:359 386, 1999. 68. T. Tuan and K. Park. Multiple time scale redundancy control for QoS-sensitive transport of real-time traf c. To appear in Proc. IEEE INFOCOM '00, 2000. 69. T. Tuan and K. Park. Performance evaluation of multiple time scale TCP under self-similar traf c conditions. Technical report, Dept. of Computer Sciences, Purdue University, 1999. CSD-TR-99-040. 70. A. Shwartz and A. Weiss. Large Deviations for Performance Analysis. Chapman and Hall, London, 1995. 71. W. Willinger. The discovery of self-similar traf c. In G. Haring, C. Lindemann and M. Reiser, eds, Performance Evaluation: Origins and Directions, LNCS. Springer-Verlag, New York (to appear). 72. W. Willinger and V. Paxson. Discussion of `Heavy tail modeling and teletraf c data' by S. I. Resnick. Ann. Statistics 25,1856 1866, 1998. 73. W. Willinger and V. Paxson. Where mathematics meets the Internet. Notices of the AMS 45:961 970, 1998. 74. W. Willinger, M. Taqqu, R. Sherman, and D. Wilson. Self-similarity through highvariability: statistical analysis of Ethernet LAN traf c at the source level. In Proc. ACM SIGCOMM '95, pp. 100 113, 1995. 75. W. Willinger, M. Taqqu, and A. Erramilli. A bibliographical guide to self-similar traf c and performance modeling for modern high-speed networks. In F. P. Kelly, S. Zachary, and I. Ziedins, eds., Stochastic Networks: Theory and Applications, pp. 339 366, Clarendon Press, Oxford, UK, 1996.

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