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Scalability

Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding resources to the system.[1]

In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is scalable because more packages can be delivered by adding more delivery vehicles. However, if all packages had to first pass through a single warehouse for sorting, the system would not be as scalable, because one warehouse can handle only a limited number of packages.[2]

In computing, scalability is a characteristic of computers, networks, algorithms, networking protocols, programs and applications. An example is a search engine, which must support increasing numbers of users, and the number of topics it indexes.[3] Webscale is a computer architectural approach that brings the capabilities of large-scale cloud computing companies into enterprise data centers.[4]

In distributed systems, there are several definitions according to the authors, some considering the concepts of scalability a sub-part of elasticity, others as being distinct. According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant." Serverless technologies fit this definition but you need to consider total cost of ownership not just the infra cost. [5]

In mathematics, scalability mostly refers to closure under scalar multiplication.

In industrial engineering and manufacturing, scalability refers to the capacity of a process, system, or organization to handle a growing workload, adapt to increasing demands, and maintain operational efficiency. A scalable system can effectively manage increased production volumes, new product lines, or expanding markets without compromising quality or performance. In this context, scalability is a vital consideration for businesses aiming to meet customer expectations, remain competitive, and achieve sustainable growth. Factors influencing scalability include the flexibility of the production process, the adaptability of the workforce, and the integration of advanced technologies. By implementing scalable solutions, companies can optimize resource utilization, reduce costs, and streamline their operations. Scalability in industrial engineering and manufacturing enables businesses to respond to fluctuating market conditions, capitalize on emerging opportunities, and thrive in an ever-evolving global landscape.[citation needed]

  1. ^ Bondi, André B. (2000). Characteristics of scalability and their impact on performance. Proceedings of the second international workshop on Software and performance – WOSP '00. p. 195. doi:10.1145/350391.350432. ISBN 158113195X.
  2. ^ Hill, Mark D. (1990). "What is scalability?" (PDF). ACM SIGARCH Computer Architecture News. 18 (4): 18. doi:10.1145/121973.121975. S2CID 1232925. and
    Duboc, Leticia; Rosenblum, David S.; Wicks, Tony (2006). A framework for modelling and analysis of software systems scalability (PDF). Proceedings of the 28th international conference on Software engineering – ICSE '06. p. 949. doi:10.1145/1134285.1134460. ISBN 1595933751.
  3. ^ Laudon, Kenneth Craig; Traver, Carol Guercio (2008). E-commerce: Business, Technology, Society. Pearson Prentice Hall/Pearson Education. ISBN 9780136006459.
  4. ^ "Why web-scale is the future". Network World. 2020-02-13. Retrieved 2017-06-01.
  5. ^ Building Serverless Applications on Knative. O'Reilly Media. ISBN 9781098142049.

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