A Novel Method for the Synthetic Generation of Non-I.I.D Workloads for Cloud Data Centers

Date

2020-07-01

Author

Koltuk, Furkan
Schmidt, Şenan Ece

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

156
views

0
downloads

© 2020 IEEE.Cloud data center workloads have time- dependencies and are hence non-i.i.d (independent and identically distributed). In this paper, we propose a new model-based method for creating synthetic workload traces for cloud data centers that have similar time characteristics and cumulative distributions to those of the actual traces. We evaluate our method using the actual resource request traces of Azure collected in 2019 and the well-known Google cloud trace. Our method enables generating synthetic traces that can be used for a more realistic evaluation of cloud data centers.

Subject Keywords

cloud computing, distribution fitting, model-based workload generation

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85094164200&origin=inward
https://hdl.handle.net/11511/99887

DOI

https://doi.org/10.1109/iscc50000.2020.9219577

Conference Name

2020 IEEE Symposium on Computers and Communications, ISCC 2020

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Realistic Workload Generation for Cloud Data Centers Bulut Veri Merkezleri icin Gercekci Is Yuku Uretimi Koltuk, Furkan; Schmidt, Şenan Ece (2020-10-05) © 2020 IEEE.This paper proposes a new method for creating synthetic workload traces in accordance with the distribution and time characteristics of a given actual workload trace. To this end, we first find the distribution that fits to the actual workload trace, then rearrange the random samples that are generated from this distribution such that the final synthetic trace has time characteristics that are similar to the actual trace. We evaluate our method using real virtual machine and task request traces ...
CLOUDGEN: Workload generation for the evaluation of cloud computing systems CLOUDGEN: Bulut Bilişim Sistemlerinin Başarim Deǧerlendirmesi icin Iş Yuku Uretimi Koltuk, Furkan; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01) In this paper, we propose CLOUDGEN workflow that produces synthetic workloads for Infrastructure and Platform as a Service for the evaluation of resource management approaches in cloud computing systems. To this end, CLOUDGEN systematically processes and clusters records in a given workload trace and fits distributions for different workload parameters within the clusters. Different than the previous work, clustering is carried out to produce different virtual machine types for achieving models that are sui...
A generalization of openstack for managing heterogeneous cloud resources Heterojen bulut kaynaklarinin yonetimi için openstack genelleştirimi Erol, Ahmet; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01) This paper describes the generalization of OpenStack cloud resource management software to manage hardware resources other than the standard resources on the servers. To this end, OpenStack resource data structure is updated and the Nova project, which runs on the compute node, is rewritten so that it can run on different hardware platforms without depending on the operating system.
A Cloud Based Workflow for a Finite Element Analysis Preprocessor Kurt, Tolga; Arıcı, Yalın; Kurç, Özgür (2015-03-24) This paper presents a cloud based workflow and a software implementation that has a web-based GUI and a modular backend server which consists of an interface and many worker applications that are distributed over a network of computers or virtual machines. The implemented software is capable of three-dimensional modelling, mesh generation and analysis of large dam models using finite element and analysis. Visualization is performed with a web browser using the JavaScript library three.js which drives the We...
A semantic-based user privacy protection framework for Web services Tumer, A; Dogac, A; Toroslu, İsmail Hakkı (2005-01-01) Web service technology is an Internet-based distributed computing paradigm to address interoperability in heterogeneous distributed systems. In this paper, we present a privacy framework for Web services which allows user agents to automatically negotiate with Web services on the amount of personal information to be disclosed on behalf of the user. In developing this framework the following key privacy considerations are taken into account: revealing only the minimal pertinent information about the user, no...

Citation Formats

F. Koltuk and Ş. E. Schmidt, “A Novel Method for the Synthetic Generation of Non-I.I.D Workloads for Cloud Data Centers,” Rennes, Fransa, 2020, vol. 2020-July, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85094164200&origin=inward.