By Jan A. Audestad (auth.), Willem Jonker (eds.)
Just just like the prior workshop at VLDB 1999 in Edinburgh, the aim of this workshop is to advertise telecom info administration as one of many center study parts in database learn and to set up a powerful connection among the telecom and database study groups. As I wrote within the preface of these complaints, facts administration in telecommuni- tions is an engaging sector of analysis given the truth that either carrier administration and repair provisioning are very info extensive, and pose severe necessities on information administration expertise. Given the suggestions at the earlier workshop we determined to maintain a similar application set-up for this workshop: an invited speaker, a suite of analysis papers, and a panel dialogue. We obtained 18 high quality papers from which we chosen 12 to build a really attention-grabbing application. this system has been divided into 4 sections. the 1st part specializes in CDR facts warehouse and information mining know-how. info warehousing and knowledge mining round buyer utilization information is still a big niche for telecommunication operators. The turning out to be festival, in particular within the cellular marketplace, implies that operators need to positioned extra attempt into consumer retention and pride. the second one part specializes in functionality matters round databases in telecommunication. because telecommunication databases are characterised through their severe requisites, for instance when it comes to volumes of knowledge to be processed or reaction instances, excessive quantity facts administration and embedded and real-time information administration are key elements of the telecommunication info administration difficulties in today’s operational environments.
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Extra info for Databases in Telecommunications II: VLDB 2001 International Workshop Rome, Italy, September 10, 2001 Proceedings
At 200 GB the very large CDR table is joined with the result of the nested loop join, the large result of this join has to be joined to the KLT table and ADS table, which results in a lot of data processing. For 400 GB first all the small tables are joined to each other and finally this result is joined to the large CDR table. The strategy at 400 GB results in less data processing and therefore relative better response time at DB400 and a good scale-up factor. /7 •$'6 5HVXOW$ 5HVXOW$•&'5 5HVXOW$•&'5 5HVXOW% 5HVXOW% 5HVXOW%∪5HVXOW%∪ 5HVXOW%∪5HVXOW% )LJ4XHU\VWHSVIRUWKH0-XVLQJFRORFDWLRQ 5HVXOW$ 5HVXOW$•&'5 5HVXOW% Experimenting NT Cluster Technology for Massive CDR Processing 35 But a more detailed looked at the communication over the switch showed a maximum throughput below 10Mbit/sec, which is far below the practical maximum of 300Mbit/sec of the switch.
We will use this notation in the rest of the paper. 4 Experiment Set-up In this paragraph we continue with a description of the experiments that were performed to investigate the technology. In the experiments we will address manageability, robustness and scalability aspects for the layers Hardware, Operation System and DBMS. The manageability and robustness experiments will have a qualitative character and scalability has a more quantitative character. 1 Manageability and Robustness Manageability is defined as the ease of which the total system is configured and changed.
The speed-up is linear if the response time speedup is linear as shown in Fig. 6 for LINEAR. The speed-up is above linear if the response time speedup is above linear and the speed-up is below linear if the response time speedup is below linear. Hence, the higher the response time speed-up, the better. P. Wijnands et al. 00 1 cpu 2 cpu's 3 cpu's 4 cpu's Num ber of CPU's Fig. 7. CPU speedup at DB100 From Fig. 7 we see that the MQ has the most linear CPU response time speed-up. This query appeared to be CPU bound for the one CPU setting.
Databases in Telecommunications II: VLDB 2001 International Workshop Rome, Italy, September 10, 2001 Proceedings by Jan A. Audestad (auth.), Willem Jonker (eds.)