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Muneeb Ali

dblp:84/6951 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · unresolved

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

Computer networks · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

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.

Network and information security
1 paper
Blockchain and cryptocurrency security · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 55% Parallel and multicore computing · 46%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › distributed storage
decentralized storage
0.112016
Blockstack: A Global Naming and Storage System Secured by Blockchains · USENIX ATC 2016
Parallel and multicore computing › programming models
event-driven programming
0.112006
Protothreads: simplifying event-driven programming of memory-constrained embedded systems · SenSys 2006

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

state machine reduction · 0.1protothreads · 0.1
YearPublicationVenuePosition
2016 Blockstack: A Global Naming and Storage System Secured by Blockchains
Muneeb Ali, Jude C. Nelson, Ryan Shea, Michael J. Freedman
USENIX ATC1
2013 Enabling Author-Centric Ranking of Web Content
Muneeb Ali, Andrea S. LaPaugh
WebDB1
2006 Protothreads: simplifying event-driven programming of memory-constrained embedded systems
abstract
Event-driven programming is a popular model for writing programs for tiny embedded systems and sensor network nodes. While event-driven programming can keep the memory overhead down, it enforces a state machine programming style which makes many programs difficult to write, maintain, and debug. We present a novel programming abstraction called protothreads that makes it possible to write event-driven programs in a thread-like style, with a memory overhead of only two bytes per protothread. We show that protothreads significantly reduce the complexity of a number of widely used programs previously written with event-driven state machines. For the examined programs the majority of the state machines could be entirely removed. In the other cases the number of states and transitions was drastically decreased. With protothreads the number of lines of code was reduced by one third. The execution time overhead of protothreads is on the order of a few processor cycles.
Adam Dunkels, Oliver Schmidt, Thiemo Voigt, Muneeb Ali
SenSys4
2005 MMAC: a mobility-adaptive, collision-free MAC protocol for wireless sensor networks
abstract
Mobility in wireless sensor networks poses unique challenges to the medium access control (MAC) protocol design. Previous MAC protocols for sensor networks assume static sensor nodes and focus on energy-effciency. In this paper, we present a mobility-adaptive, collision-free medium access control protocol (MMAC) for mobile sensor networks. MMAC caters for both weak mobility (e.g., topology changes, node joins, and node failures) and strong mobility (e.g., concurrent node joins and failures, and physical mobility of nodes). MMAC is a scheduling-based protocol and thus it guarantees collision avoidance. MMAC allows nodes the transmission rights at particular timeslots based on the traffic information and mobility pattern of the nodes. Simulation results indicate that the performance of MMAC is equivalent to that of TRAMA [1] in static sensor network environments. In sensor networks with mobile nodes or high network dynamics, MMAC outperforms existing MAC protocols, like TRAMA and S-MAC [2], in terms of energy-efficiency, delay, and packet delivery.
Muneeb Ali, Tashfeen Suleman, Zartash Afzal Uzmi
IPCCC1