Yazar
Koca, Melih, Arı, İsmail, Koçak, Uğur, Çalıkuş, O., Sezgin, C.
Basım Tarihi
2012
Basım Yeri
-
IEEE
Konu
Batch processing (computers), Cloud computing, File organisation, Invoicing, Marketing, Mobile communication, Mobile computing, Parallel processing, Pipeline processing, Public domain software, Records management, User interfaces
Tür
Belge
Dil
Türkçe
Dijital
Evet
Yazma
Hayır
Kütüphane
Özyeğin Üniversitesi
Demirbaş Numarası
978-1-4673-0055-1
Kayıt Numarası
85e01fea-cabb-4006-8efa-d5fe3c484e25
Lokasyon
Computer Science
Tarih
2012
Notlar
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin
The fast increase in mobile device and bandwidth usage is generating big workloads on the IT infrastructures of mobile service providers and increasing management costs. These providers collect log files continuously and use these logs for billing, operational and marketing purposes. In this paper, we describe the design, implementation and efficient parallel processing of large-scale mobile logs using the open-source Hadoop-based low-cost private cloud system for near real-time analytics. We find that batching of small files, parallel loading and pipelining of different workloads by overlapping their disk-and-CPU intensive phases can have significant performance benefits. Optimizations were performed in the light of these findings. Our web-based interface helps users explore progress and performance of their workloads.
DOI
10.1109/SIU.2012.6204832
