Wagner Meira

About

Wagner Meira is a leading researcher in the characterization and modeling of e-business and web workloads. His seminal work, "In search of invariants for e-business workloads" (2000, 140 citations), established foundational principles for understanding the complex interactions between customers and online sites, directly improving quality of service in electronic commerce. Meira's hierarchical and multiscale approach to workload analysis, detailed in a 2003 study (55 citations), provided a powerful framework for dissecting the layered nature of web traffic. He further advanced the field by pioneering the study of web robots and autonomous agents, analyzing their distinct impact on caching and overall site performance (34 citations). Through these contributions, Meira has shaped how modern systems are designed to handle the unpredictable, high-volume demands of e-business, making his work essential reading for anyone studying internet-scale systems, performance engineering, or web characterization.

Research Focus

Key Achievements

Top Papers

1. 1
   In search of invariants for e-business workloads

   140 citations · 2000
2. 2
   A hierarchical and multiscale approach to analyze E-business workloads

   55 citations · 2003
3. 3
   Analyzing Web Robots and Their Impact on Caching

   34 citations · 2001
4. 4
   Analyzing robot behavior in e-business sites

   15 citations · 2001
5. 5
   Analyzing robot behavior in e-business sites

   4 citations · 2001

Key Collaborators

Contact & Links