Author
Zeydan, E., Narmanlıoğlu, Ömer
Publication Date
2017
Publication Place
-
IEEE
Subject
Software-defined storage, Mobile network operators, Scheduling algorithms, Software-defined storage, Mobile network operators, Scheduling
Type
Document
Language
Turkish
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-5090-6494-6
Record ID
e4fa475b-c144-46d5-a253-bd3105096c7e
Library Location
Electrical & Electronics Engineering
Date
2017
Notes
Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text
The concept of Software-Defined Storage (SDS) has recently emerged as a new technology in data centers. This technology will benefit both data center owners, application developers and Mobile
Network Operators (Mobile Network Operator, MNO), Mobile Virtual Network Operators (Mobile Virtual Network Operator, MVNO) etc. It can provide high availability, manageability, performance and cost advantages to subscribers, including In this study, the performance of the Max-Min Fairness scheduler algorithm, which regulates MNOs' access to storage units in the data center, is examined based on the demands and available storage resources in the data center. The allocation of resources is made taking into account the guaranteed and instantaneous storage amount. Satisfied-MNO-ratio (key performance indicator, KPI) and Round Robin, the simplest allocation algorithm, are used as benchmarks in comparisons., Software-Defined Storage (SDS) concept has recently emerged as a new technology inside data centers. It can provide high availability, manageability, performance and cost benefits to both data center owners, application developers and subscribers including Mobile Network Operators (MNO) or Mobile Virtual Network Operators (MVNO). In this paper, based on the assumption that MNOs are competing to access the storage units inside data centers, performance of Max-Min Fairness scheduler algorithms is investigated based on MNO's demands and available storage resources inside data center. The allocation of resources are performed under the consideration of both guaranteed and instantaneous storage amount. Satisfied-MNO-ratios are used as key performance indicator (KPI) and simplest allocation algorithm, Round Robin, is considered as benchmark in comparison.
DOI
10.1109/SIU.2017.7960313
