Performance Analysis of 5A’s Web Robots

Human nature is greedy to follow less effort heuristics in seeking of scientific literature. Despite of manual literature investigation, web robots are vital tools that provide vision to gigantic passageway of WWW knowledge for information seekers. The reputation and implication of web robots need not be introduced further. Optimal searching approach requires efficient response and reliable services with limited time to quest large array of worldwide information. The list of search engines is too vast with varying index size and performance characteristics. This study evaluates performance metrics like (1) response time, (2) load, (3) page download time, (4) health status, (5) down time, (6) uptime and (7) reliability for popular search engines (AOL, Ask, AltaVista, Alltheweb, Aliweb) starting with initial alphabetic ‘A’ so called 5A’s Web Robots. These 5A’s crawlers have not been evaluated with such technical characteristics before. This paper evaluates selected web robots under practical estimation of technical factors with maximum capacity of seven effective performance metrics. We used two web bench marking tools (Mange Engine Application Manager and Web Application Testing WAPT 6.0) under Active probing techniques to obtain experimental results as this approach has active literature support. Finally, this study concludes new and beneficial results for researcher