Analysis of Mixed Workloads from Shared Cloud Infrastructure
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F18%3A10132911" target="_blank" >RIV/63839172:_____/18:10132911 - isvavai.cz</a>
Result on the web
<a href="http://jsspp.org/papers17/paper_16.pdf" target="_blank" >http://jsspp.org/papers17/paper_16.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-77398-8_2" target="_blank" >10.1007/978-3-319-77398-8_2</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Mixed Workloads from Shared Cloud Infrastructure
Original language description
Modern computing environments such as clouds, grids or HPC clusters are both complex and costly installations. Therefore, it has always been a major challenge to utilize them properly. Workload scheduling is a critical process in every production system with an unwanted potential to hamper overall performance if the given scheduler is not adequate or properly configured. Therefore, researchers as well as system administrators are frequently using historic workload traces to model/analyze the behavior of real systems in order to improve existing scheduling approaches. In this work we provide such real-life workload traces from the CERIT-SC system. Importantly, our traces describe a "mixed" workload consisting of both cloud VMs and grid jobs executed over a shared computing infrastructure. Provided workloads represent an interesting scheduling problem. First, these mixed workloads involving both "grid jobs" and cloud VMs increase the complexity of required (co)scheduling necessary to efficiently use the underlying physical infrastructure. Second, we also provide a detailed description of the setup of the system, its operational constraints and unresolved issues, putting the observed workloads into a broader context. Last but not least, the workloads are made freely available to the scientific community allowing for further independent research and analysis.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ob Scheduling Strategies for Parallel Processing
ISBN
978-3-319-77397-1
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
18
Pages from-to
25-42
Publisher name
Springer
Place of publication
Netherlands
Event location
Orlando, Florida, USA
Event date
Jun 2, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—