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Receive calls, faxes, emails Investigate shipments Respond with anticipated delivery dates Resolve customer schedule problems
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[10] G. Aggelou and R. Tafazolli, On the relaying capability of next generation GSM cellular networks, IEEE Personal Commun. Mag., vol. 8, no. 1, pp. 40 47, Feb. 2001. [11] I. F. Akyildiz, X. Wang, and W. Wang, Wireless mesh networks: a survey, Comput. Networks, vol. 47, no. 4, pp. 445 487, Mar. 2005. [12] S. A. Mahmud, S. Khan, S. Khan, and H. Al-Raweshidy, A comparison of MANETs and WMNs: commercial feasibility of community wireless networks and MANETs, Proceedings of the ACM International Conference on Access Networks, Sept. 2006. [13] Q. Yin, P.-Y. Kong, and H. Wang, Quantitative robustness metric for QoS performances of communication networks, Proceeding of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1 5, Sept. 2006. [14] D. England, J. Weissman, and J. Sadagopan, A new metric for robustness with application to job scheduling, IEEE International Symposium on High Performance Distributed Computing, pp. 135 143, July 2005. [15] O. Arpacioglu, T. Small, and Z. J. Haas, Notes on scalability of wireless ad hoc networks, IETF Internet Draft Document draft-irtf-and-scalability-notes-00.txt, Aug. 2003. [16] C. A. Santivanez, B. McDonald, I. Stavrakakis, and R. Ramanathan, On the scalability of ad hoc routing protocols, Proceedings of IEEE INFOCOM, pp. 1688 1697, Mar. 2002. [17] P. Gupta and P. R. Kumar, The capacity of wireless networks, IEEE Trans. Inf. Theory, vol. 46, no. 2, pp. 388 404, Mar. 2000. [18] Y. Yang, J. Wang, and R. Kravets, Designing routing metrics for mesh networks , Proceedings of the IEEE Workshop on Wireless Mesh Networks, 2005. [19] R. Draves, J. Padhye, and B. Zill, Comparison of routing metrics for static multi-hop wireless networks, Proceedings of ACM SIGCOMM, pp. 133 144, Aug. 2004. [20] A. Adya, P. Bahl, J. Padhya, A. Wolman, and L. Zhou, A multi-radio uni cation protocol for IEEE 802.11 wireless networks, Proceedings of the International Conference on Broadband Networks, pp. 344 354, 2004. [21] R. Draves, J. Padhye, and B. Zill, Routing in multi-radio multi-hop wireless networks, Proceedings of ACM MOBICOM, pp. 114 128, Sept. 2004. [22] M. Kim and B. Noble, Mobile network estimation, Proceedings of ACM MOBICOM, 2001. [23] D. S. J. Couto, D. Aguayo, J. Bicket, and R. Morris, A high-throughput path metric for multi-hop wireless routing, Proceedings of ACM MOBICOM, Sept. 2003. [24] A. Woo and D. Culler, Evaluation of ef cient link reliability estimators for low-power wireless networks, Tech. Rep. UCB/CSD-03-1270, Electrical Engineering and Computer Sciences Department, University of California Berkeley, 2003. [25] J. L. Sobrinho, Algebra and algorithm for QoS path computation and hop-by-hop routing in the internet, IEEE/ACM Trans. Network., vol. 10, no. 4, pp. 541 550, Aug. 2002. [26] J. L. Sobrinho, Network routing with path vector protocols: theory and applications, Proceedings of ACM SIGCOMM, pp. 49 60, Aug. 2003. [27] C. E. Perkins and E. M. Royer, Ad-hoc on demand distance vector routing, Proceedings of the IEEE Workshop on Mobile Computing Systems and Applications, pp. 90 100, Febr. 1999.
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Figure 4.20 shows a New High Break-out Formation that appeared on a regular basis to Livermore in numerical form. Charts have been used for expediency. Why these formations repeat themselves is unknown. Livermore attributed this repetition to human nature: All through time, people have basically acted the same way in the stock market as a result of greed, fear, ignorance, and hope that is why the formations and patterns recur on a constant basis. The patterns the trader observes are simply the re ections of human emotional behavior.
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"We also can take it all the way down to the performance of each specific ad on a particular day. So we look at it in day increments. We can drill down to a specific ad and see [how] it performed over the last week day-by-day and make some predictions based on that. Is this a good one to reduce increase remove based on the patterns we've seen over the last week. "We typically give the creative over to the agency, and it is their responsibility to put in the instrumentation. We have our internal marketing people that use this instrumentation. The first few times I had to come and sit side by side with my data miners so that they can actually see it while it's happening and use their marketing expertise. After the data modeling, we go back to the agency and request one of these tweaks that we talked about. "Let's say a campaign starts over a weekend. Monday, Tuesday, somewhere around then, we do the first pass of the optimization. By Tuesday or so, we will go back to the agency and they will have a couple of days to do simple things like change impressions, change location, all of that kind of stuff. So by the end of that week, which is the second week of the campaign, we've made our first pass at improvement. Then we measure again and we will do this one more pass. In a month-long campaign, we typically tweak it at the halfway point or after 1 week and then again at like week three." Remember Ron Richards from ResultsLab Remember how he likes to only change one thing at a time They understand the importance of Ron's perspective at Compaq. "We like to do these changes independently. I have one resident statistician on board whose job is to measure the effectiveness on the back end and to remove the complications of one tweak and how they effect another tweak. "Even more importantly, to take into account macro kinds of attributes, like a merger with HP and what Greenspan might have done to the interest rates and stuff like that. So one of the things that we are introducing is a lot of statistical rigor into the process. At the end of the day we can have actual results with controlled tests as opposed to contextual things."
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overpays the company that prints the billboards for DexCo. The printer then delivers a gift to the marketing executive that is difficult to trace. In the last year, this executive has received a new car for his son, a vacation in Hawaii, an envelope full of gift cards to major stores, and jewelry. In total this year, he has received over a hundred thousand dollars in kickbacks from his advertising agency, paid for by DexCo s marketing dollars that he is stealing. This may not sound like a lot of money, but recent events have shown that fraud in marketing can be a liability for public companies. In the last few years in New York, for example, a number of employees of prominent companies, their ad agencies, and printing suppliers have gone to jail for this kind of crime. How does that affect DexCo Jim Wilde s problem, which he doesn t even know about, is that he might inadvertently put this fox in charge of the complete marketing henhouse. If he promotes this corrupt executive, he will be handing the entire marketing budget of the company over to a thief. Catching fraud of this kind can be very tricky, but rigorous internal controls that mandate and enforce multiple bids, approved vendors, as well as careful auditing of project billing records can uncover even a dedicated crook. What is virtually certain, though, is that DexCo s controls for marketing spending are way too loose to catch the problem. Combining the three departments will only make it worse.
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Summary: Yoursite.com offers a basic level of customer service but fails to take advantage of the opportunities for "Wow" customer service that the Internet offers. Attempts to enhance the customer service-related technology on your site offers should be coupled with a concerted effort to add more personality to site and email content. The way your site "talks to" existing and prospective customers will be a key determinant of whether your site makes a connection with them. Remember, customer service will be a key factor in how visitors differentiate your site from its many competitors.
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11.4.2 IEEE 802.11e EDCA MAC The contention-based IEEE 802.11e [2] uses carrier-sense multiple access with collision avoidance (CSMA/CA) similar to that in Section 4.3. The main differences are that it allows for multiple classes and supports the transmission of several data frames at one go with block acknowledgment. There are eight priority classes, and they are mapped into four access categories (ACs). The four access categories are for background, best effort, video, and voice traf c. The channel access for these traf cs is differentiated by using different arbitration interframe spaces (AIFSs) and the minimum and maximum contention window sizes. The shorter the AIFS, the higher the priority for these access categories. Figure 11.8 shows the channel access for IEEE 802.11e. Table 11.9 shows the AIFSN for background, best effort, video, and voice
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