Publication: Yazılım-tanımlı veri depolama ağlarında servis kalite farkındalıklı zamanlamaya doğru
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Abstract
Yazılım-Tanımlı Veri Depolama (Software-Defined Storage, SDS) konsepti son zamanlarda veri merkezlerinde yeni bir teknoloji olarak ortaya çıkmıştır. Bu teknoloji, hem veri merkezi sahiplerine, hem uygulama geliştiricilerine hem de Mobil
Ağ Operatörleri (Mobile Network Operator, MNO), Mobil Sanal Ağ Operatörleri (Mobile Virtual Network Operator, MVNO) vb. dahil olmak üzere abonelere yüksek kullanılabilirlik, yönetilebilirlik, performans ve maliyet avantajları sağlayabilir. Bu çalışmada MNO’ların veri merkezindeki depolama birimlerine erişimini düzenleyen Max-Min Fairness programcı algoritmasının performansı, veri merkezindeki talepler ve mevcut depolama kaynakları temel alınarak incelenmektedir. Kaynakların tahsisi, garanti edilen ve anlık depolama miktarı göz önünde bulundurularak yapılmaktadır. Performans göstergesi (key performance indicator, KPI) olarak doymuş-MNO-oranı (satisfied-MNO-ratio) ve en basit tahsis algoritması olan, Round Robin, karşılaştırmalarda kıstas olarak kullanılmaktadır.
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.
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.
Date
2017
Publisher
IEEE
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