Research Papers on MapReduce,
Data Warehousing, Business Intelligence

This resource contains published academic papers written by Aster Data employees about the challenges facing the data community.

Analytic Power

• SQL-MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions
• A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses
• The Architecture of PIER: an Internet-Scale Query Processor
• Querying at Internet-Scale
• Turbo-charging Vertical Mining of Large Databases
• Minimizing View Sets without Losing Query-Answering Power
• SETS: Search Enhanced by Topic Segmentation
• Efficient and Extensible Algorithms for Multi Query Optimization
• Don't Trash your Intermediate Results, Cache 'em
• Materialized View Selection and Maintenance Using Multi-Query Optimization
• Pipelining in Multi-Query Optimization
• Garbage Collection in Object-Oriented Databases Using Transactional Cyclic Reference Counting
• OSQR: Overlapping Clustering of Query Results
• Enhanced Business Intelligence Using EROCS
• Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations
• Extracting Cyber Communities Through Patterns

Availability

• Recursive Restartability: Turning the Reboot Sledgehammer into a Scalpel
• Reducing Recovery Time in a Small Recursively Restartable System
• Crash-Only Software
• The Price of Validity in Dynamic Networks
• Transience of Peers and Streaming Media

Manageability

• DART: Distributed Automated Regression Testing for Large-Scale Network Applications
• Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization
• Predictable Software - A Shortcut to Dependable Computing?
• Middleware-based Replication: The Gaps Between Theory and Practice

Reliability

• A Utility-Centered Approach to Building Dependable Infrastructure Services
• ConfErr: A Tool for Assessing Resilience to Human Configuration Errors
• GnatDb: A Small-Footprint, Secure Database System

Scalability

• PlanetLab: An Overlay Testbed for Broad-coverage Services
• User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
• Distributed Hash Queues: Architecture and Design
• OnCall: Defeating Spikes with a Free-Market Application Cluster
• Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems
• Peer-to-Peer Research at Stanford
• Symphony: Distributed Hashing in a Small World
• Locality-Aware Request Distribution in Cluster-based Network Servers
• Soft Timers: Efficient Microsecond Software Timer Support for Network Processing
• Efficient Support for P-HTTP in Cluster-Based Web Servers
• Cluster Reserves: A Mechanism for Resource Management in Cluster-based Network Servers
• The SawMill Framework for Virtual Memory Diversity
• Distributed File Organization with Scalable Cost/Performance
• A Performance Model of a Design for a Minimally Replicated Distributed Database for Database-Driven Telecommunications Services
• DERBY: A Memory Management System for Distributed Main Memory Databases
• Snowball: Scalable Storage on Networks of Workstations with Balanced Load
• Architectural Considerations for Efficient Software Execution on Parallel Microprocessors

Security

• Detecting identity-based attacks in wireless networks using signal prints
• MobiCom poster: public-key-based secure Internet access.
• DoS and authentication in wireless public access networks
• Authenticity and availability in PIPE networks
• MIDAS: An Impact Scale for DDoS attacks
• Analyzing Large DDoS Attacks using Multiple Data Sources
• Reval: A Tool for Real-time Evaluation of DDoS Mitigation Strategies