Yüksek-ölçekli mobil iletişim verilerinin açık-kaynak hadoop çerçevesi kullanılarak paralel ve iş-hatlı işlenmesi

Name: Yüksek-ölçekli mobil iletişim verilerinin açık-kaynak hadoop çerçevesi kullanılarak paralel ve iş-hatlı işlenmesi
Author: Koca, Melih, Arı, İsmail, Koçak, Uğur, Çalıkuş, O., Sezgin, C.

İsim	Yüksek-ölçekli mobil iletişim verilerinin açık-kaynak hadoop çerçevesi kullanılarak paralel ve iş-hatlı işlenmesi
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

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Yüksek-ölçekli mobil iletişim verilerinin açık-kaynak hadoop çerçevesi kullanılarak paralel ve iş-hatlı işlenmesi

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