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However, many clients labeled their systems with asset tags that clearly identified the name of the company who owned them Some administrators considered it to be a game to figure out who owned which cages Impact of others problems If one cage had a fire or some other kind of serious physical problem, neighboring cages would be affected through no fault of their own Impact on recovery time If a system is located a 45-minute subway ride away from the main office, how will travel time impact recovery time, if a visit is required Physical space Is there room in the cage for all of the equipment Can you arrange it without violating the China Syndrome model Will there still be room to move around the equipment Will you be able to repair one system without affecting any of the others Adequate cooling and power.



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25. T. J. Ott, T. V. Lakshman, and A. Tabatabai. A scheme for smoothing delay sensitive traf c offered to ATM networks. In Proc. IEEE INFOCOM '92, pp. 776 785, 1992. 26. G. Ramamurthy and B. Sengupta. Modeling and analysis of variable bit rate video multiplexer. In 7th Specialist Seminar, International Teletraf c Conference, Morristown, NJ, 1990. 27. V. Venkateshwara Rao, K. R. Krishnan, and D. P. Heyman. Performance of nite-buffer queues under traf c with long-range dependence. In Proc. IEEE Globecom '96, pp. 3 14, London, 1996. 28. B. K. Ryu and A. Elwalid. The importance of long-range dependence of VBR video traf c in ATM traf c engineering: myths and realities. Proc. ACM SIGCOMM'96, Stanford, CA, 1996. 29. K. Sriram and W. Whitt. Characterizing superposition arrival processes in packet multiplexers for voice and data. IEEE J. Select. Areas Commun., SAC-4(6):833 846, 1986. 30. W. Verbiest and L. Pinnoo. A variable bit rate video codec for asynchronous transfer mode networks. IEEE J. Select. Areas Commun., 7:761 770, 1989. 31. W. Verbiest, L. Pinnoo, and B. Vosten. The impact of the ATM concept on video coding. IEEE J. Select. Areas Commun., 6:1623 1632, 1988. 32. Y. Yasuda, H. Yasuda, H. Ohta, and F. Kishino. Packet video transmission through ATM networks. In Proc. IEEE Globecom, pp. 25.1.1 25.1.5, 1989.





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Katie Delahaye Paine (KDPaine & Partners) has been personally associated with every serious effort to develop public relations measurement standards for longer than would be gentlemanly of me to say. In 1996, after a heated discussion at a Public Relations Society of America conference, she was on the team that wrote the rst Institute for Public Relations white paper, Guidelines and Standards for Measuring the Effectiveness of PR Programs and Activities. (www .instituteforpr.org/research single/measuring activities) These days, Katie is focused on outcomes as the critical metric, and she divides the business outcomes of

Early-generation OHFs were not prepared for the onslaught of customers that they saw They did not have sufficient cooling or power, and customers were often forced to shut down their busy equipment to conserve power or to prevent overheating Beware of large temporary cooling units in the aisles between cages; that s a sure sign of trouble Safe working conditions Small, cramped cages filled with lots of equipment and cables are a surefire recipe for trouble There are tripping and banging hazards galore for system administrators under these conditions The removal of raised floor tiles makes tripping and falling even more likely..

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Self-Similar Network Traf c and Performance Evaluation, Edited by Kihong Park and Walter Willinger Copyright # 2000 by John Wiley & Sons, Inc. Print ISBN 0-471-31974-0 Electronic ISBN 0-471-20644-X

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Department of Electrical & Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China

To support multimedia applications, high-speed networks must be able to provide quality-of-service (QoS) guarantees for connections with drastically different traf c characteristics. Some of the characteristics fall beyond the conventional framework of Markov traf c modeling. For instance, recent studies have demonstrated convincingly that there exists long-range dependence or self-similarity in packet video, which is an important traf c component in high-speed networks. Essentially, longrange dependence cannot be captured by Markov traf c models. Although longrange dependence in network traf c has been widely recognized [1, 2, 4, 8, 11, 15, 17, 18], QoS impact of long-range dependence is still an open issue. For example, there are different opinions regarding whether Markov traf c models can still be used to predict loss performance in the presence of long-range dependence. This and other related issues are also discussed in 12 of this book. QoS guarantee for long-range dependent (LRD) traf c is the topic of s 16 and 19 as well. The issue of congestion control for self-similar traf c is addressed in 18.

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