Advanced search ?

Object

Download

Title: Data and Task Scheduling in Distributed Computing Environments, Journal of Telecommunications and Information Technology, 2014, nr 4

Creator:

Szmajduch, Magdalena

Date:

2014, nr 4

Resource Type:

artykuł

Description:

ecome a major research and engineering issue. Data Grids (DGs), Data Clouds (DCs) and Data Centers are designed for supporting the processing and analysis of massive data, which can be generated by distributed users, devices and computing centers. Data scheduling must be considered jointly with the application scheduling process. It generates a wide family of global optimization problems with the new scheduling criteria including data transmission time, data access and processing times, reliability of the data servers, security in the data processing and data access processes. In this paper, a new version of the Expected Time to Compute Matrix (ETC Matrix) model is defined for independent batch scheduling in physical network in DG and DC environments. In this model, the completion times of the computing nodes are estimated based on the standard ETC Matrix and data transmission times. The proposed model has been empirically evaluated on the static grid scheduling benchmark by using the simple genetic-based schedulers. A simple comparison of the achieved results for two basic scheduling metrics, namely makespan and average flowtime, with the results generated in the case of ignoring the data scheduling phase show the significant impact of the data processing model on the schedule execution times.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1811 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2014.4.1049

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

data processing data grid data scheduling data cloud ETC Matrix

Object collections:

Last modified:

Sep 4, 2024

In our library since:

Jan 16, 2015

Number of object content hits:

120

All available object's versions:

https://bc.itl.waw.pl/publication/2072

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Szmajduch, Magdalena, Data and Task Scheduling in Distributed Computing Environments, Journal of Telecommunications and Information Technology, 2014, nr 4 Sep 4, 2024

Objects Similar
Infrastructure and Energy Conservation in Big Data Computing: A Survey, Journal of Telecommunications and Information Technology, 2019, nr 2

Niewiadomska-Szynkiewicz, Ewa Karpowicz, Michał P.

2019, nr 2
artykuł
Monitoring of a Cloud-Based Environment for Resilient Telecommunication Services, Journal of Telecommunications and Information Technology, 2016, nr 1

Wilczewski, Grzegorz

2016, nr 1
artykuł
My City Dashboard: Real-time Data Processing Platform for Smart Cities, Journal of Telecommunications and Information Technology, 2017, nr 1

Pop, Florin Usurelu, Catalin-Constantin

2017, nr 1
artykuł
2024, nr 2, JTIT-artykuły
2024, nr 2, JTIT-artykuły
An Energy Efficient and Scalable WSN with Enhanced Data Aggregation Accuracy, Journal of Telecommunications and Information Technology, 2024, nr 2

Saadallah, Noor Raad Alabady, Salah Abdulghani

2024
artykuł
Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion, Journal of Telecommunications and Information Technology, 2019, nr 4

Szuster, Piotr

2019, nr 4
artykuł
A dedicated computer system for FM-CW radar applications, Journal of Telecommunications and Information Technology, 2001, nr 4

Ligthart, Leo P. Zwan van der, Fred W. Sinttruijen van, Jaques S. Heijnen, Silvester H.

2001, nr 4
artykuł
2023, nr 2, JTIT-artykuły
2023, nr 2, JTIT-artykuły
Improving Quality of Watermarked Medical Images Using Symmetric Dilated Convolution Neural Networks, Journal of Telecommunications and Information Technology, 2023, nr 2

Pulgam, Namita D. Shinde, Subhash K.

2023, nr 2
artykuł
Solving Support Vector Machine with Many Examples, Journal of Telecommunications and Information Technology, 2010, nr 3

Białoń, Paweł

2010, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information