CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
advantage <strong>and</strong> enhanced pr<strong>of</strong>its.<br />
(Appears also in Section VIII.)<br />
10. Bakshi, Y., A.H. Diaz, K. Meier Hellstern, R.A. Milito <strong>and</strong> R. Skoog. Overload control in a<br />
distributed system. Teletraffic Contributions for the Information Age. Proceedings <strong>of</strong> the 15th<br />
International Teletraffic Congress, ITC-15. Elsevier, Amsterdam, The Netherl<strong>and</strong>s, 1997, 571–<br />
582.<br />
Abstract. A new algorithm for the joint call distribution <strong>and</strong> overload control in a distributed<br />
environment is proposed <strong>and</strong> evaluated. The algorithm, which falls into the category <strong>of</strong> direct<br />
adaptive control methods, integrates three mechanisms: (i) adaptive throttling; (ii) adaptive call<br />
allocation; (iii) call routing. The throttling mechanism adjusts the arrival rejection rate to meet<br />
performance requirements, the call allocation mechanism adaptively determines the fractions <strong>of</strong><br />
calls to be assigned to different nodes, <strong>and</strong> the call routing ensures the regularity <strong>of</strong> the routing<br />
sequence that meets the allocated fractions (including the fraction <strong>of</strong> rejections).<br />
Keywords: Overload control, Distributed system, Joint call distribution, Direct adaptive control<br />
methods, Adaptive throttling, Adaptive call allocation, Call routing, Arrival rejection rate,<br />
Routing sequence, Distributed overload control<br />
11. Gordon, J.J., K. Murti <strong>and</strong> A. Rayes. Overview <strong>of</strong> Internet traffic issues on the PSTN. Teletraffic<br />
Contributions for the Information Age. Proceedings <strong>of</strong> the 15th International Teletraffic<br />
Congress, ITC-15. Elsevier, Amsterdam, The Netherl<strong>and</strong>s, 1997, 643–652.<br />
Abstract. Recent evidence indicates that Internet traffic is saturating the public switched<br />
telephone network (PSTN). Methods must be developed to traffic-engineer <strong>and</strong> administer the<br />
network so that an extensive range <strong>of</strong> data <strong>and</strong> voice services can be provided at reasonable<br />
cost. Traffic engineering methods must determine the sufficient capacity to meet the anticipated<br />
dem<strong>and</strong> while meeting different grade-<strong>of</strong>-service (GoS) objectives, <strong>and</strong> ensure that the capacity<br />
is not so excessive as to render network services uneconomical. In order to engineer <strong>and</strong> administer<br />
the network effectively traffic engineers must recognize <strong>and</strong> deal with a variety <strong>of</strong> new traffic<br />
characteristics <strong>and</strong> be able to evaluate their effects <strong>and</strong> the factors that affect them. This paper<br />
addresses the impacts <strong>of</strong> Internet traffic on the PSTN. It includes an overview <strong>of</strong> the behavior <strong>of</strong><br />
the combined voice <strong>and</strong> data traffic such as long holding time distribution, call arrival patterns,<br />
call retrials, peakedness <strong>and</strong> traffic variation, <strong>and</strong> engineering periods.<br />
Keywords: Internet traffic, PSTN, Public switched telephone network, Data services, Voice<br />
services, Traffic engineering, Capacity, Grade-<strong>of</strong>-service, Network services, Holding time distribution,<br />
Call arrival patterns, Call retrials, Peakedness, Traffic variation<br />
12. Xia, P. Knowledge discovery in integrated call centers: a framework for effective customer-driven<br />
marketing. Proceedings <strong>of</strong> the Third International Conference on Knowledge Discovery <strong>and</strong> Data<br />
Mining. AAAI Press, Menlo Park, CA, USA, 1997, 279–282.<br />
Abstract. As call centers become more pervasive, the customers seek individualized service <strong>and</strong><br />
greater attention. The call centers are becoming the contact centers-a one-stop, single interface<br />
124