Concepedia

Concept

scalable computing

Parents

Children

1.9K

Publications

120K

Citations

5.8K

Authors

1.2K

Institutions

About

Scalable computing is a concept and research area focused on designing, building, and managing computing systems capable of handling increasing workloads, data volumes, or processing demands efficiently and reliably. It investigates principles and techniques for constructing systems whose performance, throughput, or capacity can be increased by adding resources, often proportionally to the added resources. This field examines architectural patterns, algorithms, software designs, and infrastructure strategies that enable systems to maintain desired performance, availability, and cost characteristics as the operational scale grows. Key characteristics include elasticity, efficiency under increasing load, and the ability to distribute work across multiple resources. Its significance lies in enabling the effective processing and analysis required by big data applications, large-scale simulations, and internet services that serve a continuously expanding user base or handle complex computational tasks.

Top Authors

Rankings shown are based on concept H-Index.

DK

The Ohio State University

IS

University of California, Berkeley

IR

Illinois Institute of Technology

XS

Illinois Institute of Technology

RB

The University of Melbourne

Top Institutions

Rankings shown are based on concept H-Index.

Google (United States)

Mountain View, United States

University of California, Berkeley

Berkeley, United States

The Ohio State University

Columbus, United States

Microsoft (United States)

Redmond, United States

IBM (United States)

Armonk, United States