ACM Transactions on Database Systems (TODS)
Improvements on a heuristic algorithm for multiple-query optimization
Data & Knowledge Engineering
Multiple-query optimization at algorithm-level
Data & Knowledge Engineering
Workload scheduling for multiple query processing
Information Processing Letters
Query execution techniques for caching expensive methods
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Tuning the performance of I/O-intensive parallel applications
Proceedings of the fourth workshop on I/O in parallel and distributed systems: part of the federated computing research conference
Performance impact of proxies in data intensive client-server applications
ICS '99 Proceedings of the 13th international conference on Supercomputing
Querying very large multi-dimensional datasets in ADR
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Efficient and extensible algorithms for multi query optimization
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Batch Scheduling in Parallel Database Systems
Proceedings of the Ninth International Conference on Data Engineering
Knowledge Discovery from Client-Server Databases
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Multiple Query Processing in Deductive Databases using Query Graphs
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
A Performance Study of Query Optimization Algorithms on a Database System Supporting Procedures
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Anatomy of a Mudular Multiple Query Optimizer
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Algorithms for Materialized View Design in Data Warehousing Environment
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Optimizing Execution of Component-based Applications using Group Instances
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Optimizing Retrieval and Processing of Multi-Dimensional Scientific Datasets
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Caching Derived Data in Object-Oriented Databases, and An Intelligent System Design for Selecting Their Materialization Strategies
A Framework for Caching in an Object-Oriented System
A Framework for Caching in an Object-Oriented System
Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Scheduling Multiple Data Visualization Query Workloads on a Shared Memory Machine
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Active Proxy-G: optimizing the query execution process in the grid
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A component-based implementation of multiple sequence alignment
Proceedings of the 2003 ACM symposium on Applied computing
Optimizing the Execution of Multiple Data Analysis Queries on Parallel and Distributed Environments
IEEE Transactions on Parallel and Distributed Systems
Time and space optimization for processing groups of multi-dimensional scientific queries
Proceedings of the 18th annual international conference on Supercomputing
Multiple query scheduling for distributed semantic caches
Journal of Parallel and Distributed Computing
JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
CoScan: cooperative scan sharing in the cloud
Proceedings of the 2nd ACM Symposium on Cloud Computing
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Applications that analyze, mine, and visualize large datasets are considered an important class of applications in many areas of science, engineering, and business. Queries commonly executed in data analysis applications often involve user-defined processing of data and application-specific data structures. If data analysis is employed in a collaborative environment, the data server should execute multiple such queries simultaneously to minimize the response time to clients. In this paper we present the design of a runtime system for executing multiple query workloads on a shared-memory machine. We describe experimental results using an application for browsing digitized microscopy images.