loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Georgios L. Stavrinides 1 and Eleni Karatza 2

Affiliations: 1 Department of Informatics, Aristotle University of Thessaloniki, Greece ; 2 Aristotle University of Thessaloniki, Greece

ISBN: 978-989-758-190-8

Keyword(s): Scheduling, Complex Workload, SaaS Cloud, Performance, Modeling, Simulation.

Abstract: As Software as a Service (SaaS) cloud computing gains momentum, the efficient scheduling of different types of applications in such platforms is of great importance, in order to achieve good performance. In SaaS clouds the workload is usually complex and comprises applications with various degrees of parallelism and priority. Therefore, one of the major challenges is to cope with the case where high-priority real-time single-task applications arrive and have to interrupt other non-real-time parallel applications in order to meet their deadlines. In this case, it is required to effectively deal with the real-time applications, at the smallest resulting degradation of parallel performance. In this paper, we investigate by simulation the performance of strategies for the scheduling of complex workloads in a SaaS cloud. The examined workload consists of non-real-time applications featuring fine-grained parallelism (gangs) and periodic high-priority soft real-time single-task applications that can tolerate deadline misses by bounded amounts. We examine the impact of gang service time variability on the performance of the scheduling algorithms, by considering service demands that follow a hyper-exponential distribution. The simulation results reveal that the relative performance of the employed scheduling strategies depends on the type of the workload. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.26.182.28

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Stavrinides G.; Karatza E. and (2016). Scheduling Different Types of Applications in a SaaS Cloud.In Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-758-190-8, pages 144-151. DOI: 10.5220/0006223101440151

@conference{bmsd16,
author={Georgios L. Stavrinides and Eleni Karatza},
title={Scheduling Different Types of Applications in a SaaS Cloud},
booktitle={Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},
year={2016},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006223101440151},
isbn={978-989-758-190-8},
}

TY - CONF

JO - Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - Scheduling Different Types of Applications in a SaaS Cloud
SN - 978-989-758-190-8
AU - Stavrinides, G.
AU - Karatza, E.
PY - 2016
SP - 144
EP - 151
DO - 10.5220/0006223101440151

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.