Abstract
Sensitivity assessment of availability for data center networks (DCNs) is of paramount importance in design and management of cloud computing based businesses. Previous work has presented a performance modeling and analysis of a fat-tree based DCN using queuing theory. In this paper, we present a comprehensive availability modeling and sensitivity analysis of a DCell-based DCN with server virtualization for business continuity using stochastic reward nets (SRN). We use SRN in modeling to capture complex behaviors and dependencies of the system in detail. The models take into account (i) two DCell configurations, respectively, composed of two and three physical hosts in a DCell0unit, (ii) failure modes and corresponding recovery behaviors of hosts, switches, and VMs, and VM live migration mechanism within and between DCell0s, and (iii) dependencies between subsystems (e.g., between a host and VMs and between switches and VMs in the same DCell0). The constructed SRN models are analyzed in detail with regard to various metrics of interest to investigate system’s characteristics. A comprehensive sensitivity analysis of system availability is carried out in consideration of the major impacting parameters in order to observe the system’s complicated behaviors and find the bottlenecks of system availability. The analysis results show the availability improvement, capability of fault tolerance, and business continuity of the DCNs complying with DCell network topology. This study provides a basis of designing and management of DCNs for business continuity.
Highlights
Cloud computing based businesses have been demanding a rapid escalation of IT infrastructures with efficient resources organization and high level of continuity
Stochastic Petri Net Package (SPNP) provides two ways to implement the stochastic reward nets (SRN) models: (i) raw input language for SPNP called CSPL (C-based SPN Language), an extension of the C programming language with a variety of application programming interfaces (API) for easier description of SRN models; and (ii) a Graphical User Interface (GUI) for intuitive specification of the SRN models, which later is converted into CSPL automatically by the software itself
This paper has presented a comprehensive availability modeling and sensitivity analysis of a DCell-based data center networks (DCNs)
Summary
Cloud computing based businesses have been demanding a rapid escalation of IT infrastructures with efficient resources organization and high level of continuity. Data centers have drastically evolved in their size and architecture design to host a variety of cloud computing applications and services such as online social networking, e-commerce services, scientific computing, and big data processing. Internet enterprises may incur millions of dollar per hour [2] due to their service outage, since their business operations require constantly connected and online services. Designing of a DCN for fault tolerance and business continuity is critical and a sharp focus of both academia and industry areas
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
