SEARCH
ISTC-CC NEWSLETTER
RESEARCH HIGHLIGHTS
Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
ISTC-CC Abstract
VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications
ACM Middleware (Middleware'12), December 2012.
Chengwei Wang, Infantdani Abel Rayan+, Greg Eisenhauer,
Karsten Schwan, Vanish Talwar, Matthew Wolf, Chad Huneycutt
Georgia Institute of Technology
HP Labs
+Riot Games
Data-Intensive infrastructures are increasingly used for on-line processing of live data to guide operations and decision making. VScope is a exible monitoring and analysis middleware for troubleshooting such large-scale, time-sensitive, multi-tier applications. With VScope, lightweight anomaly detection and interaction tracking methods can be run continuously throughout an application's execution. The runtime events generated by these methods can then initiate more detailed and heavier weight analyses which are dynamically deployed in the places where they may be most likely fruitful for root cause diagnosis and mitigation. We comprehensively evaluate VScope prototype in a virtualized data center environment with over 1000 virtual machines (VMs), and apply VScope to a representative on-line log processing application. Experimental results show that VScope can deploy and operate a variety of on-line analytics functions and metrics with a few seconds at large scale. Compared to traditional logging approaches, VScope based troubleshooting has substantially lower perturbation and generates much smaller log data volumes. It can also resolve complex cross-tier or cross-software-level issues unsolvable solely by application-level or per-tier mechanisms.
KEYWORDS: Cloud, Data Center, Management, Troubleshooting
FULL PAPER: pdf