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Research
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The Network and Information Systems Lab (NISL) at the Wayne State University focuses on efficient, reliable and secure storage and delivery
of information across varieties of networks.
With the constant
increase in computing power, network bandwidth and storage capacity, as
well as rapid expansion of wireless networks, we envision a general information
network that enables ubiquitous data access and exchange. In such a network
a user data is properly coded and
stored on multiple nodes, such as proxy nodes, routers, wireless
access points, and a user can access data from multiple nodes
simultaneously. Such a network is an extension of many existing data networks,
such as content distribution networks, peer-to-peer networks, and even sensor
networks. It can be viewed as a generalized data storage system, which can
provide high efficiency, more reliability, as well as strong security.
Currently our research focuses on a few fundamental building blocks
in such a network, both theoretically and experimentally:
- data distribution schemes
Instead of naive data
mirroring or replication, we are studying more generalized data placement
schemes using error correcting codes,
that provide robust data distribution
schemes to maintain high availability of data access, as well as high
data security and overall data system performance in terms of throughput
and resource utilization. Currently these schemes are being integrated into
Hydra ( with some
screen shots of a simple demo of
the Hydra ), a general platform
for secure and survivable networked storage systems.
- data security
Data security, mainly data privacy and integrity, is an important
component in virtually all information systems. We are studying novel
schemes that are much more computationally efficient than traditional
crypto-operations ( such as encryptions ) to ensure data security. Examples
include multicast key distribution, distributed data storage.
- data dissemination schemes
Broadcast or multicast, which is inherent in most wireless networks,
provides an efficient means to disseminate data to
a large group of receivers. We are studying various data dissemination
schemes over broadcast/multicast networks,
such as video-on-demand and more general broadcast
scheduling schemes.
- data transmission protocols
We study protocols that enable efficient transfer of massive data, especially
multimedia streaming data, over high speed networks.
Our goals include decreasing network congestions by smoothing and stabilizing
source sending rate, reducing data retransmission when packet loss occurs
and increasing overall transmission throughput and network resource utilization.
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| People |
The NISL is looking for energetic and devoted GRAs and post doctoral researchers to join and make contributions. If interested in, please contact lihao @ cs. wayne. edu
Lihao Xu
Jianqiang Luo
Mochan Shrestha
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Alumni
Cheng Huang (Microsoft Research Labs)
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Ramaprabhu Janakiraman (google)
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Publications
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An Efficient XOR-Scheduling Algorithm for Erasure Codes Encoding
( pdf ), Dec. 2008
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A Performance Evaluation and Examination of Open-Source
Erasure Coding Libraries For Storage ( pdf ), Sep. 2008
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SCAN: An Efficient Sector Failure Recovery Algorithm for RAID-6 Codes
( pdf ), Dec. 2007
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Quantifying Benefit and Cost of Erasure Code Based File Systems
( pdf ), Dec. 2007
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Efficient Erasure Decoding for Generalized Reed Solomon Codes
( pdf ), Jan. 2007
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On the Erasure Recoverability of MDS Codes under Concurrent Updates(pdf), Jan. 2005,
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Optimal Broadcast Scheduling for Random-Loss Channels
(
pdf), Apr. 2004,
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Efficient Fault-tolerant Distributed Storage using Erasure Codes(pdf), Feb. 2004,
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Fast Software Implementations of Finite Field Operations
(
pdf), Dec. 2003,
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Reliable and Secure Distributed Data Storage Using Erasure Codes
(
pdf), Aug. 2003,
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Efficient FEC Codes for Data Loss Recovery
( ps or
pdf), Jun. 2003,
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Efficient Reliable Data Broadcast over Multiple Channels
( ps or
pdf), Feb. 2003,
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SRC: Stable Rate Control for Streaming Media
( ps or
pdf), Feb. 2003
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Multirate Data Distribution with Channel Subscription Cost
( ps or
pdf), Feb., 2003
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Achieving Scalable and Efficient Video-on-Demand Over Multicast
( ps or
pdf ), Oct. 2002
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Computation Efficient Multicast Key Distribution
( ps or
pdf ), Mar. 2002
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Maximizing Burst Erasure Correction Capability of MDS Codes
( ps or pdf), Aug. 2001
- An Efficient XOR-Scheduling Algorithm for Erasure Codes Encoding
( pdf ),
Proc. of DSN 2009, June 29 to July 2, 2009, Estoril, Lisbon, Portugal.
- A Performance Evaluation and Examination of Open-Source Erasure Coding Libraries for Storage
( pdf ),
Proc. of FAST 2009, Feb. 24 to 27, 2009, San Francisco, CA.
- HyFS: A Highly Available Distributed File System, ( Abstract )
WiP of FAST 2008, Feb. 26 to 29, 2008, San Jose, CA.
- Optimizing Cauchy Reed-Solomon Codes for Fault-Tolerant Network Storage Applications ( pdf ) Proc. of The 5th IEEE International Symposium on Network Computing and Applications (IEEE NCA06), Cambridge, MA, July, 2006. ( Best Paper for Network Computing )
- STAR: An Efficient Coding Scheme for Correcting Triple Storage Node Failures ( pdf ) Proc. of FAST 2005, December 14 to 16, 2005, San Francisco, CA.
- Hydra: A Platform for Survivable and Secure Data Storage Systems ( pdf ) Proc. of StorageSS 2005, Fair Fax, Virginia, USA, Nov. 2005.
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Optimal Broadcast Scheduling for Random-Loss Channels ( pdf ) Proc. of ISIT 05, Adelaide, Australia, Sep. 2005.
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On the Erasure Recoverability of MDS Codes under Concurrent Updates ( pdf ) Proc. of ISIT 05, Adelaide, Australia, Sep. 2005.
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Using Erasure Codes Efficiently for Storage in a Distributed System(pdf),
Proc. DSN 2005, Yokohama, Japan, June-July 2005.
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Study of A Practical FEC Scheme for Wireless Data Streaming
(pdf),
IASTED Internet and Multimedia Systems and Applications,
Grindelwald, Switzerland, Feb. 2005.
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Optimal Coding Rate Control for Scalable Streaming Media
(pdf),
Proc. International Packet Video Workshop,
Irvine, CA, Dec. 2004.
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Optimal Control of Multiple Bit Rates for Streaming Media
(pdf),
Proc. Picture Coding Symposium,
San Francisco, CA, Dec. 2004.
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Loss-Resilient On-demand Media Streaming using Priority Encoding
(pdf),
ACM Multimedia 2004, New York, NY, October 2004,
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Efficient and Flexible Parallel Retrieval using Priority Encoded Transmission(pdf), NOSSDAV 2004, Kinsale, Ireland, June 2004,
- Scheduling for Efficient Data Broadcast over Two Channels
( ps or
pdf ),
ISIT 2004, Chicago, IL, Jun.-Jul. 2004,
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Layered Priority Encoded Transmission for Video Streaming to Heterogeneous Receivers
(pdf),
ISIT 2004, Chicago, IL, Jun.-Jul. 2004,
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SRC: Stable Rate Control for Streaming Media
( ps or
pdf), Globecom 2003, San Francisco, Dec., 2003
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Maximizing Burst Erasure Correction Capability of MDS Codes
( pdf )
or ( ps ),
41st Annual Allerton Conference on Communication, Control and Computing,
Oct., 2003
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A General Encryption Scheme Based on MDS Code
( ps or
pdf ),
ISIT 2003, Yokohama, Japan, Jun. 2003
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Computation Efficient Multicast Key Distribution
( ps or
pdf ),
ISIT 2003, Yokohama, Japan, Jun. 2003
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Coding and Scheduling for Efficient Loss-Resilient Data
Broadcasting
( ps or
pdf ),
ISIT 2003, Yokohama, Japan, Jun. 2003
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Scalable and Efficient Multi-rate Data Distribution
( ps or
pdf ),
ISIT 2003, Yokohama, Japan, Jun. 2003
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Coding for High Density Storage Systems
( pdf ), 40th Annual Allerton
Conference on Communication, Control and Computing, Oct., 2002
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Soft Decoding of Several Classes of Array Codes
( ps or
pdf ), IEEE ISIT, Lausanne,
Switzerland, Jun., 2002
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Fuzzycast: Efficient Video-on-demand over Multicast
( ps or
pdf ), IEEE INFOCOM, New York,
Jun., 2002
- Efficient and Scalable Data Streaming Using UEP Codes
( ps or pdf
), ACM Multimedia, Ottawa, Canada, Oct. 2001
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| Acknowledgement |
Part of the research is being supported by the NSF.
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| Links |
Copyright © Network and Information Systems Lab. All Rights Reserved.
Graphics by Art for the web
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