ABOUT THE PDL
The Parallel Data Lab at Carnegie Mellon University is academia's premiere storage systems research center. An interdisciplinary group, its 40-50 members come mainly from the Computer Science and ECE Departments. We also have a lot of friends in industry who generously provide us with advice, and some of the funding and equipment necessary to carry out our research.
Our research addresses a broad spectrum of storage-related challenges, including storage security, emerging technologies, disk characterization and modeling, efficient storage access, storage networking, and network-attached storage clusters.
- ARGON (Storage QoS) - performance insulation for shared storage servers
- Astro-DISC - new algorithms, data structures, and software tools for the analysis of massive astronomical and cosmological datasets.
- Database I/O - optimizing database performance
- Data Center Observatory (DCO) - A working data center and a research vehicle for the study of data center automation and efficiency
- Data-Intensive Supercomputing (DISC) - research to extend the type of computing systems used for Internet search to a larger range of applications
- dbug - exploring an alternative method to stress testing called systematic testing, which controls the order in which certain concurrent events occur
- DiskReduce - a framework for integrating RAID into replicated storage systems to lower storage capacity overhead
- DiskSim - an efficient, accurate, highly-configurable disk system simulator.
- eScience - PDL projects that are data-intensive and thus heavily invested in the use of computers for advancement
- FAWN - fast arrays of wimpy nodes
- Fingerpointing - problem diagnosis in distributed systems
- Home Storage - data management for the home
- Incast - addressing catastrophic TCP throughput collapse in storage server networks
- Enabling Non-Volatile Memory Techonologies - examining the use of NVM technologies as part of main memory, accessed directly using load/store instructions in order to overcome the challenges associated with building a DRAM-only main memory
- Otus - improving resource attribution through a monitoring system implementation
- PDL vCloud - replacing a multitude of single-purpose clusters, managed and underutilized by individual groups, with an IaaS private cloud for class projects, simulations, data analyses, and cluster and data-intensive computing activities
- Petascale Data Storage Institute (PDSI) - addressing the challenges of petascale computing for scientific discovery on information storage capacity, performance, concurrency, reliability, availability, and manageability
- pNFS - considers the problem of limited bandwidth to NFS servers
- Problem Analysis - analyzing performance and reliability problems in deployed large-scale systems
- pWalrus - a storage service layer that integrates parallel file systems effectively into cloud storage
- Survivable Storage (PASIS) - decentralized storage systems whose availability and security policies can survive component failures and successful malicious attacks
- Self-Securing Devices - systems with security functionality equally distributed among physically distinct system components
- Self-Securing Storage - storage devices that prevent successful intruders from undetectably tampering with or permanently deleting stored data
- Self-* Storage - a new storage architecture that integrates automated management functions and simplifies the human administrative task. Self*-systems are self configuring, self-organizing, self-managing, etc.
- YCSB++ - an advanced benchmark suite for categorizing cloud table stores
, PDL Director
, PDL Executive Director
, PDL Administrative Manager
Computer Science Department
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue - CIC 2209
Pittsburgh, PA 15213-3891
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