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Scalability refers to a systemic ability to accommodate resources based on the level of demand (Karakus & Durresi, 2017). In this regard, high user demand may necessitate the use of more resources compared to when there is low user demand. Processes, networks, or systems should handle an increasing workload. Scalability allows firms to satisfy the growing needs of their clients (Karakus & Durresi, 2017). On the other hand, virtualization refers to the addition of abstraction layers between underlying hardware and software systems (Swathi, Srikanth, & Reddy, 2014). Cloud-based applications have an in-built capability to scale. The paper will outline the effects of scalability on virtualization solutions.
One of the major effects of scalability is the enhanced functionality and reliability of virtualization solutions. Organizations benefit when they consider scalability while evaluating their virtualization needs. Computer systems often become instable due to an unexpected influx of users (Swathi et al., 2014). Sudden hardware failures and poor network connection can affect the functionality of virtualization solutions. Scalability allows firms to create a separate platform of flexibility (Karakus & Durresi, 2017). Business systems that seem critical can be replicated in several areas to ensure continuity. In fact, scalability contributes to the self-sufficiency of virtualization solutions. Future failure points are eliminated since the system initiates disaster recovery protocols. Consequently, scalability empowers virtualization solutions to become more reliable.
Another effect of scalability is that it reduces the costs associated with virtualization solutions. The prevalence of tough economic conditions makes it imperative for organizations to manage their expenses. Vertical scaling and horizontal scaling demonstrate the cost-saving impact on virtualization (Karakus & Durresi, 2017). Horizontal scaling refers to the capability of connecting several software or hardware entities. Servers that function as a single unit can reduce the costs of system repairs and migrations. Wide scaling enables companies to handle a high traffic of customers without compromising on budgetary allocations. On the other hand, vertical scaling refers to when resources are added to enhance the capacity of software or hardware components (Karakus & Durresi, 2017). The latter form of scaling allows businesses to use bigger servers without incurring expenses related to coding changes. Therefore, scalability empowers entities to have cheaper virtualization solutions.
In addition, scalability reduces the complexity of virtualization solutions. Companies can eliminate old equipment and consolidate servers. Legacy systems are especially vital since they make it easy to manage software. Scalability contributes to the centralization of servers (Karakus & Durresi, 2017). It is important for firms to maintain operational oversight of all systems. However, virtualization solutions could be hampered if hardware and software were independent. Scalability allows firms to balance workloads manage migration. Virtualized systems benefit since several servers can share physical hardware (Swathi et al., 2014). Fewer servers may be needed due to simpler management of assets and reduced network ports.
Indeed, scalability enhances virtualization solutions by limiting costs, increasing efficiency, and reducing complexity. Network systems are often encumbered by sudden failures. Scalability allows organizations to create contingency plans for the sake of failure points. Distinct platforms are created to enhance the flexibility of virtualization solutions. Furthermore, scalability reduces the expenses incurred in setting up and maintaining virtualization solutions. Vertical scaling allows organizations to add resources to existing components. The latter concept spares firms the costs of making changes in code. Horizontal scaling contributes to cost-saving since multiple servers can be interconnected. Besides, scalability makes it easier for companies to manage and provide virtualization solutions. Centralized servers allow smooth operational oversight and faster transition.
Karakus, M., & Durresi, A. (2017). A survey: Control plane scalability issues and approaches in software-defined networking (SDN). Computer Networks, 112, 279-293.
Swathi, T., Srikanth, K., & Reddy, S. R. (2014). Virtualization in cloud computing. International Journal of Computer Science and Mobile Computing, 3(5), 540-546.
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