Name
Abstract | ||
|---|---|---|
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to manage and diagnose. In this paper we propose Macroscope, a new approach to extracting the dependencies of networked applications automatically by combining application process information with network level packet traces. We evaluate Macroscope on traces collected at 52 laptops within a large enterprise and show that Macroscope is accurate in finding the dependencies of networked applications. We also show that Macroscope requires less human involvement and is significantly more accurate than state of the art approaches that use only packet traces. Using our rich profiles of the application-service dependencies, we explore and uncover some interesting characteristics about this relationship. Finally, we discuss several usage scenarios that can benefit from Macroscope. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1658939.1658966 | CoNEXT |
Keywords | Field | DocType |
application process information,complex networked application,application-service dependency,large enterprise,networked application dependency discovery,art approach,large number,packet trace,data center network,networked application,network level packet trace,end-point approach,data center,complex network | Network level,Computer science,Network packet,Computer network,End point,Data center,Distributed computing | Conference |
Citations | PageRank | References |
15 | 0.86 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucian Popa | 1 | 369 | 20.39 |
| Byung-Gon Chun | 2 | 3832 | 234.37 |
| I. Stoica | 3 | 21406 | 1710.11 |
| Jaideep Chandrashekar | 4 | 411 | 30.25 |
| Nina Taft | 5 | 2109 | 154.92 |