Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme

İlksen Çaǧlar; D. Turgay Altilar

doi:10.1109/UBMK.2017.8093548

Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme

İlksen Çaǧlar
, D. Turgay Altilar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Scheduling of computational load and actual processing is an important problem to be considered from the perspectives of time and consumed energy for execution in the scale of data centers. In this paper, time-series analysis of the arrivals of the workloads have been done by applying auto regression (AR), moving average (MA), auto regression and moving average (ARMA), and Holt-Winters approaches. Performances of the four methods was evaluated and compared for Google workload logs that is publicly available in the Internet.

Tercüme edilen katkı başlığı	Cloud work load prediction through different models based on time-series
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2nd International Conference on Computer Science and Engineering, UBMK 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	856-860
Sayfa sayısı	5
ISBN (Elektronik)	9781538609309
DOI'lar	https://doi.org/10.1109/UBMK.2017.8093548
Yayın durumu	Yayınlandı - 31 Eki 2017
Etkinlik	2nd International Conference on Computer Science and Engineering, UBMK 2017 - Antalya, Türkiye Süre: 5 Eki 2017 → 8 Eki 2017

Yayın serisi

Adı	2nd International Conference on Computer Science and Engineering, UBMK 2017

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2nd International Conference on Computer Science and Engineering, UBMK 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	5/10/17 → 8/10/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

Cloud
Computational loads
Data centers
Holt-winters
Regression
Time-series analysis

Belgeye Erişim

10.1109/UBMK.2017.8093548

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çaǧlar, İ., & Altilar, D. T. (2017). Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme. In 2nd International Conference on Computer Science and Engineering, UBMK 2017 (pp. 856-860). Makale 8093548 (2nd International Conference on Computer Science and Engineering, UBMK 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2017.8093548

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abstract = "Scheduling of computational load and actual processing is an important problem to be considered from the perspectives of time and consumed energy for execution in the scale of data centers. In this paper, time-series analysis of the arrivals of the workloads have been done by applying auto regression (AR), moving average (MA), auto regression and moving average (ARMA), and Holt-Winters approaches. Performances of the four methods was evaluated and compared for Google workload logs that is publicly available in the Internet.",

keywords = "Cloud, Computational loads, Data centers, Holt-winters, Regression, Time-series analysis",

author = "İlksen {\c C}aǧlar and Altilar, \{D. Turgay\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Computer Science and Engineering, UBMK 2017 ; Conference date: 05-10-2017 Through 08-10-2017",

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Çaǧlar, İ & Altilar, DT 2017, Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme. in 2nd International Conference on Computer Science and Engineering, UBMK 2017., 8093548, 2nd International Conference on Computer Science and Engineering, UBMK 2017, Institute of Electrical and Electronics Engineers Inc., pp. 856-860, 2nd International Conference on Computer Science and Engineering, UBMK 2017, Antalya, Türkiye, 5/10/17. https://doi.org/10.1109/UBMK.2017.8093548

Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme. / Çaǧlar, İlksen; Altilar, D. Turgay.
2nd International Conference on Computer Science and Engineering, UBMK 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 856-860 8093548 (2nd International Conference on Computer Science and Engineering, UBMK 2017).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme

AU - Çaǧlar, İlksen

AU - Altilar, D. Turgay

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Scheduling of computational load and actual processing is an important problem to be considered from the perspectives of time and consumed energy for execution in the scale of data centers. In this paper, time-series analysis of the arrivals of the workloads have been done by applying auto regression (AR), moving average (MA), auto regression and moving average (ARMA), and Holt-Winters approaches. Performances of the four methods was evaluated and compared for Google workload logs that is publicly available in the Internet.

AB - Scheduling of computational load and actual processing is an important problem to be considered from the perspectives of time and consumed energy for execution in the scale of data centers. In this paper, time-series analysis of the arrivals of the workloads have been done by applying auto regression (AR), moving average (MA), auto regression and moving average (ARMA), and Holt-Winters approaches. Performances of the four methods was evaluated and compared for Google workload logs that is publicly available in the Internet.

KW - Cloud

KW - Computational loads

KW - Data centers

KW - Holt-winters

KW - Regression

KW - Time-series analysis

UR - https://www.scopus.com/pages/publications/85040560191

U2 - 10.1109/UBMK.2017.8093548

DO - 10.1109/UBMK.2017.8093548

M3 - Konferans katkısı

AN - SCOPUS:85040560191

T3 - 2nd International Conference on Computer Science and Engineering, UBMK 2017

SP - 856

EP - 860

BT - 2nd International Conference on Computer Science and Engineering, UBMK 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Computer Science and Engineering, UBMK 2017

Y2 - 5 October 2017 through 8 October 2017

ER -

Çaǧlar İ, Altilar DT. Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme. In 2nd International Conference on Computer Science and Engineering, UBMK 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 856-860. 8093548. (2nd International Conference on Computer Science and Engineering, UBMK 2017). doi: 10.1109/UBMK.2017.8093548

Bulut Uygulamalari için Farkli Zaman Serisi Modelleriyle İş Yükü Tahminleme

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap