Session 1B: Data Mining and Management

نویسندگان

  • Allan K. Y. Wong
  • Wentong Cai
  • Stephen Jarvis
  • Laurence T. Yang
چکیده

Multiprotocol label switching (MPLS) has become an attractive technology for the next generation backbone networks. To provide high quality services, fault tolerance should be taken into account in the design of a backbone network. In an MPLS based backbone network, the fault-tolerant issue concerns how to protect traffic in a carried path (label switched path (LSP)) against node and link failures. This paper presents a new efficient fault-tolerant approach for MPLS. When a node or link failure occurs in a working LSP, the traffic of the faulty LSP (the affected traffic) is distributed to be carried by other failure-free working LSPs. To minimize the affections on the failure-free LSPs, the affected traffic distribution is transferred to the minimum cost flow to be solved. Finally, extensive simulations are performed to quantify the effectiveness of the proposed approach over previous approaches.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Special Session 16: Differential , Integral Equations And Their Applications

The costing and data mining of logistics costs will become increasingly important to all firms seeking competitive advantages. Activity Based Costing (ABC) is considered as the optimized and most promising method of costing and controlling logistics cost now, and logistics cost data mining based on ABC is playing a very important role in business management. The paper firstly analyses the princ...

متن کامل

Customer behavior mining based on RFM model to improve the customer relationship management

Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...

متن کامل

An Optimal Model for Medicine Preparation Using Data Mining

Introduction: Lack of financial resources and liquidity are the main problems of hospitals. Pharmacies are one of the sectors that affect the turnover of hospitals and due to lack of forecast for the use and supply of medicines, at the end of the year, encounter over-inventory, large volumes of expired medicines, and sometimes shortage of medicines. Therefore, medicine prediction using availabl...

متن کامل

Modelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach

In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...

متن کامل

Customer Retention Based on the Number of Purchase: A Data Mining Approach

Purpose: this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005