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The Scalability Metric based on Cost-Effectiveness in Distributed Systems
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 15 |
| Year of Publication: 2018 |
| Authors: Emmanuel Kwabena Gyasi, Dominic Asamoah, Emmanuel Ofori Oppong, Stephen Opoku Oppong |
10.5120/ijais2018451773
|
Emmanuel Kwabena Gyasi, Dominic Asamoah, Emmanuel Ofori Oppong, Stephen Opoku Oppong . The Scalability Metric based on Cost-Effectiveness in Distributed Systems. International Journal of Applied Information Systems. 12, 15 ( September 2018), 1-10. DOI=10.5120/ijais2018451773
Abstract
Today’s computer systems are more complex, more rapidly evolving, and more essential to the conduct of business than those of recent past. The complexity becomes more rigid in the case of distributed systems. As businesses grow, the systems that support their functions also need to grow to support more users, process more data, or both. As they grow, it is important to maintain their performance in terms of responsiveness or throughput. Despite its importance, scalability is poorly understood and few organizations understand how to quantitatively evaluate an application’s scalability. The derived scalability metric of this paper is based on cost effectiveness, in which the effectiveness is a function of the system's throughput and its QoS. It is a strategy based scalability metric that generalizes the well-known metrics for scalability of parallel computations to describe heterogeneous distributed systems. Scalability is measured by the range of scale factors that gives a satisfactory value of the metric, since a good scalability is a joint property of the initial design and the scaling strategy. What makes this derived metric unique is the fact that, it separates the impact of throughput and response time on the metric, formalizing the notation of a scaling strategy, introducing QoS evaluation and more also, introducing formal scalability enablers which are optimized at each scale factor.
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