Mixture distribution model for resources availability in volunteer computing systems

Kenan Matawie; Bahman Javadi

Mixture distribution model for resources availability in volunteer computing systems

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Characterizing, analysis and modelling resources availability in volunteer computing systems is becoming extremely important and essential for efficient application scheduling and systems utilization. In this paper we describe, analyse and model the availability characteristics using mixture probability density functions. We apply Mixture-gamma model as a predictive method to estimate the availability tail probability using the real availability traces from the SETI@home project with more than 230,000 hosts.

Original language	English
Title of host publication	Proceedings of the 29th International Workshop on Statistical Modelling, July 14-18, 2014, Gottingen, Germany
Publisher	Georg-August-University
Pages	105-108
Number of pages	4
Publication status	Published - 2014
Event	International Workshop on Statistical Modelling - Duration: 14 Jul 2014 → …

Conference

Conference	International Workshop on Statistical Modelling
Period	14/07/14 → …

Cite this

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title = "Mixture distribution model for resources availability in volunteer computing systems",

abstract = "Characterizing, analysis and modelling resources availability in volunteer computing systems is becoming extremely important and essential for efficient application scheduling and systems utilization. In this paper we describe, analyse and model the availability characteristics using mixture probability density functions. We apply Mixture-gamma model as a predictive method to estimate the availability tail probability using the real availability traces from the SETI@home project with more than 230,000 hosts.",

author = "Kenan Matawie and Bahman Javadi",

year = "2014",

language = "English",

pages = "105--108",

booktitle = "Proceedings of the 29th International Workshop on Statistical Modelling, July 14-18, 2014, Gottingen, Germany",

publisher = "Georg-August-University",

note = "International Workshop on Statistical Modelling ; Conference date: 14-07-2014",

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TY - GEN

T1 - Mixture distribution model for resources availability in volunteer computing systems

AU - Matawie, Kenan

AU - Javadi, Bahman

PY - 2014

Y1 - 2014

N2 - Characterizing, analysis and modelling resources availability in volunteer computing systems is becoming extremely important and essential for efficient application scheduling and systems utilization. In this paper we describe, analyse and model the availability characteristics using mixture probability density functions. We apply Mixture-gamma model as a predictive method to estimate the availability tail probability using the real availability traces from the SETI@home project with more than 230,000 hosts.

AB - Characterizing, analysis and modelling resources availability in volunteer computing systems is becoming extremely important and essential for efficient application scheduling and systems utilization. In this paper we describe, analyse and model the availability characteristics using mixture probability density functions. We apply Mixture-gamma model as a predictive method to estimate the availability tail probability using the real availability traces from the SETI@home project with more than 230,000 hosts.

UR - http://handle.uws.edu.au:8081/1959.7/564011

UR - http://www.uni-goettingen.de/en/432678.html

M3 - Conference Paper

SP - 105

EP - 108

BT - Proceedings of the 29th International Workshop on Statistical Modelling, July 14-18, 2014, Gottingen, Germany

PB - Georg-August-University

T2 - International Workshop on Statistical Modelling

Y2 - 14 July 2014

ER -

Mixture distribution model for resources availability in volunteer computing systems

Abstract

Conference

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