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Andrew Muir

dblp:07/485 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-authorSecurity and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless networking · 59% Optical networks · 23% Internet architecture and protocols · 18%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › medium access control › carrier sense multiple access
collision detection
0.011997
Group Allocation Multiple Access with Collision Detection · INFOCOM 1997
Wireless networking
medium access control
0.011997
Group Allocation Multiple Access with Collision Detection · INFOCOM 1997
Wireless networking › multiple access protocols
distributed queueing
0.011996
Distributed Queue Packet Scheduling Algorithms for WDM-Based Networks · INFOCOM 1996
Internet architecture and protocols
packet scheduling
0.011996
Distributed Queue Packet Scheduling Algorithms for WDM-Based Networks · INFOCOM 1996
Optical networks
WDM networks
0.011996
Distributed Queue Packet Scheduling Algorithms for WDM-Based Networks · INFOCOM 1996
Performance modeling and evaluation › network performance analysis
throughput and delay analysis
0.011997
Group Allocation Multiple Access with Collision Detection · INFOCOM 1997
Optical networks › fiber optic local area network
passive star network
0.011996
Distributed Queue Packet Scheduling Algorithms for WDM-Based Networks · INFOCOM 1996

Methods — techniques the papers use, named apart from their topics

simulation · 0.1analytical modeling · 0.0queueing analysis · 0.0
YearPublicationVenuePosition
1998 A channel access protocol for multihop wireless networks with multiple channels
abstract
The Group Allocation Multihop Multiple Access (GAMMA) protocol is presented; this protocol schedules data traffic over a multihop, multi-channel, wireless network. GAMMA provides excellent performance and remains stable under all network load levels by dividing the channel into cycles; each cycle is composed of a combination of contention and data slots. Every station in the network has a unique channel for receiving data. Each station maintains a set of stations called the "transmission group", only members of this group are allowed to transmit data collision-free to the station maintaining the group.
Andrew Muir, J. J. Garcia-Luna-Aceves
ICC1
1998 An Efficient Packet Sensing MAC Protocol for Wireless Networks
Andrew Muir, J. J. Garcia-Luna-Aceves
Mob. Networks Appl.1
1997 Group Allocation Multiple Access with Collision Detection
abstract
The group allocation multiple access with collision detection (GAMA/CD) protocol for scheduling variable-length packet transmissions in a local area network is specified and analyzed. The GAMA/CD provides the advantages of both TDMA and CSMA/CD by maintaining a dynamically-sized cycle that varies in length depending on the network load; each cycle is composed of a contention period and a group-transmission period. During the contention period, a station with one or more packets to send competes for membership in the transmission group. Once a member of the transmission group, a station is able to send data without collision during each cycle; as long as a station has data to send, it maintains its position in the group. This can be viewed as either allowing stations to "share the floor" in an organized manner, or as establishing frames that are not synchronized on a slot-basis and vary their length dynamically based on demand. Both the throughput and the delay of GAMA/CD are presented and analyzed. To validate our analysis, the results of both models are compared to the throughput and delay produced by a simulation of GAMA/CD.
Andrew Muir, J. J. Garcia-Luna-Aceves
INFOCOM1
1996 Distributed Queue Packet Scheduling Algorithms for WDM-Based Networks
abstract
Two protocols for scheduling variable-length packet transmissions in an optical passive star network using wavelength division multiplexing (WDM) are specified and analyzed. These protocols require: a separate channel for transmission of control packets, a fixed transmitter and receiver and a tunable transmitter and receiver. The distinction between these protocols and other WDM protocols is that message transmissions are initiated by the receipt of a control message; other schemes schedule packet transmission for some fixed point in the future. This flexibility allows these protocols to avoid "head-of-line" blocking which is a problem encountered in some other protocols. The protocols presented place no constraints on the size of a message, the size of a packet or on the number of available data channels; maintain a distributed queue for each of the output nodes; and guarantee that there are no receiver or data channel collisions. The delay characteristics of these protocols are analyzed and compared to those of the TTAS algorithm.
Andrew Muir, J. J. Garcia-Luna-Aceves
INFOCOM1
1995 A Longitudinal Survey of Internet Host Reliability
abstract
An accurate estimate of host reliability is important for correct analysis of many fault-tolerance and replication mechanisms. In a previous study, we estimated host system reliability by querying a large number of hosts to find how long they had been functioning, estimating the mean time-to-failure (MTTF) and availability from those measures, and in turn deriving an estimate of the mean time-to-repair (MTTR). However, this approach had a bias towards more reliable hosts that could result in overestimating MTTR and underestimating availability. To address this bias we have conducted a second experiment using a fault-tolerant replicated monitoring tool. This tool directly measures TTF, TTR, and availability by polling many sites frequently from several locations. We find that these more accurate results generally confirm and improve our earlier estimates, particularly for TTR. We also find that failure and repair are unlikely to follow Poisson processes.
Darrell D. E. Long, Andrew Muir, Richard A. Golding
SRDS2