Performance of a Composite Attribute and Join Index
IEEE Transactions on Software Engineering
Optimization for dynamic inverted index maintenance
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Join processing in relational databases
ACM Computing Surveys (CSUR)
Incremental updates of inverted lists for text document retrieval
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Use of composite index in DDBMS
CSC '86 Proceedings of the 1986 ACM fourteenth annual conference on Computer science
A relational model of data for large shared data banks
Communications of the ACM
The case for power management in web servers
Power aware computing
TelegraphCQ: continuous dataflow processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Lucene in Action (In Action series)
Lucene in Action (In Action series)
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Run-Time Monitoring of Instances and Classes of Web Service Compositions
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Efficient in-memory extensible inverted file
Information Systems
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Enhancing P2P file-sharing with an internet-scale query processor
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Response time in man-computer conversational transactions
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
Nagios: System and Network Monitoring
Nagios: System and Network Monitoring
Run-time correlation engine for system monitoring and testing
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Genoa Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming
Computer Networks: The International Journal of Computer and Telecommunications Networking
Scalable Run-Time Correlation Engine for Monitoring in a Cloud Computing Environment
ECBS '10 Proceedings of the 2010 17th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Summarized trace indexing and querying for scalable back-in-time debugging
Proceedings of the 25th European conference on Object-oriented programming
Managing Gigabytes: Compressing and Indexing Documents and Images
IEEE Transactions on Information Theory - Part 2
Practical power consumption estimation for real life HPC applications
Future Generation Computer Systems
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In the Cloud computing environment, enterprise applications can produce high volumes of data, which need to be effectively analyzed for administrators to understand system behaviors. Many run-time data analysis tools can give the most up-to-date knowledge of the system to administrators. However, when troubleshooting a problem in depth, the offline data analysis functionality is necessarily required to get the complete knowledge for system diagnosis. In this paper, we propose a composite tree index structure for the Run-Time Correlation Engine framework to achieve efficient event indexing and searching tasks. The framework has been previously proposed as an automatic tool for easing many run-time data analysis tasks. By integrating the data indexing solution to the framework, we are able to further enhance the tool to perform offline data analysis tasks to provide a more sophisticated monitoring service in the Cloud computing environment.