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PL
Artykuł dotyczy problemu gwarantowania jakości usług serwisów WWW zapewniających funkcjonowanie detalicznych sklepów internetowych. Zaproponowano nową metodę obsługi żądań w serwisie, której celem jest maksymalizowanie przychodu osiąganego przez właściciela e biznesu, przy jednoczesnym oferowaniu wyższej jakości usług dla bardziej wartościowych klientów. Do identyfikacji i oceny wartości kluczowych klientów zaproponowano zastosowanie analizy RFM (ang. Recency-Frequency-Monetary value analysis). Przedyskutowano nowy algorytm kontroli przyjęć i szeregowania żądań, realizujący sterowanie zgodnie z przyjętymi celami "biznesowymi".
EN
The paper deals with the problem of guaranteeing high Quality of Web Service (QoWS) in e-commerce Web servers. Due to the high variability and unpredictability of Web traffic, Web servers are subject to overloads, which result in users experiencing too long response times, their impatience and site abandonment. Such situations are detrimental to e-business conducted over the Internet, especially in the highly competitive Business-to-Consumer (B2C) e-commerce environment. In the paper, a novel request service method for a Web server system hosting a B2C Web site is proposed. The method aims at ensuring high revenue achieved by an online-retailer through successfully processed purchase transactions, as well as offering higher QoWS for more valued customers. To identify and evaluate values of key customers, RFM (Recency-Frequency-Monetary value) analysis has been applied to the method. A new admission control and scheduling algorithm realizing request service control according to business-oriented goals is discussed.
2
Content available remote Integrating a key customer-oriented strategy into the B2C e-commerce service
EN
The paper brings up the problem of broadening customer relationship management (CRM) in an e-commerce company to an automated mechanism of request service in a Web server system hosting a Business-to-Consumer (B2C) Web site. We propose applying RecencyFrequency-Monetary value (RFM) analysis to automatically compute customer values in a Web store, and using these values in a new admission control and scheduling algorithm for a Web server system. The proposed method and algorithm are discussed, and simulation results of its efficacy compared to the First-In-First-Out (FIFO) scheduling are presented.
EN
A Token-ManagedAdmission Control (TMAC) mechanism is introduced in order to provide efficient Quality-of-Service (QoS) support for different types of application on a best-effort Globally-Asynchronous Locally-Synchronous (GALS) interconnect fabric. The mechanism is applied at the ingress edges of the fabric using tokens to allocate dynamic network resources and prevent network congestion. The degree of fairness is controllable, in order to balance the desired throughput and data transfer resource allocation appropriately for a particular application. The simulation and analysis presented here shows efficient QoS provision. Our detailed implementation and analysis show that TMAC provides service guarantees on the network while using a modest physical area because of the simplicity of the control logic.
EN
Providing quality of service (QoS) into the networks based on the packet switched technologies, as ATM and IP, is currently the challenge for the military communication system designers. The main element for achieving QoS capabilities is to implement effective admission control (AC) function, which regulates the volume of submitted traffic to the network. The traditional approach for the AC is that it is invoked by each call requesting QoS. As a consequence, the call set-up latency is increasing and, in addition, the signaling traffic in the network is growing. This paper proposes a simple AC method that is based on the online traffic load measurements and assumes that the AC is involved only when the load exceeds a predefined threshold. As a consequence, for most of the connections the AC is not necessary to be executed and this causes lower set-up phase duration and limits the volume of signaling traffic. The numerical results showing effectiveness of the approach are included and compared with traditional AC performing.
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