Cloud Computing

3 researchers across 2 institutions

3 Researchers
2 Institutions
0 Grant PIs
0 High Impact

Research in cloud computing focuses on the design, development, and application of distributed computing systems that deliver services over the internet. Investigations examine efficient resource allocation, performance optimization, and security mechanisms within cloud environments. This includes exploring novel architectures for managing vast amounts of data, enhancing the scalability of applications, and ensuring the reliability and availability of cloud-based services. Methodologies often involve simulation, modeling, and the development of new algorithms to address challenges in areas such as dynamic resource provisioning and fault tolerance.

The development of robust cloud computing infrastructure and expertise is relevant to Arkansas's diverse economy. Industries such as advanced manufacturing, agriculture, and logistics can benefit from scalable and cost-effective computing solutions for data analysis, supply chain management, and operational efficiency. Furthermore, cloud technologies support advancements in telehealth and public health initiatives by enabling secure data sharing and remote access to medical resources, addressing the needs of both urban and rural populations across the state.

This research area intersects with fields including high-performance computing, embedded systems, and blockchain technology. Engagement spans multiple institutions within Arkansas, fostering a collaborative environment for advancing cloud computing knowledge and applications.

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Top Researchers

Name Institution h-index Citations Career Stage Badges
Leando Soares Indrusiak University of Arkansas 1 1
Amit Kumar Singh University of Arkansas 1 2
Venkata Surya Hanuma Sivakrishna Penugonda Arkansas State University 1 1

Strategic Outlook

Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW

Global trajectory
11,998 works in 2026
-2.4% CAGR 2018–2026
Leadership concentration
3.0% held by global top 5 institutions
Fragmented HHI 7
Arkansas position
Arkansas not in global top 100
No AR institution among the top-100 contributors to this topic over the 2018–2026 window.

Top US institutions in this area

  1. 1 IBM (United States) 1,652
  2. 2 Microsoft (United States) 1,209
  3. 3 University of Illinois Urbana-Champaign 970
  4. 4 Georgia Institute of Technology 933
  5. 5 Carnegie Mellon University 928
Browse All 3 Researchers in Directory