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Mustaque Ahamad

Researcher at Georgia Institute of Technology

Publications -  172
Citations -  6183

Mustaque Ahamad is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Consistency (database systems) & Shared memory. The author has an hindex of 39, co-authored 169 publications receiving 5882 citations. Previous affiliations of Mustaque Ahamad include New York University Abu Dhabi & University of Georgia.

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Proceedings ArticleDOI

Securing context-aware applications using environment roles

TL;DR: By introducing environment roles, this work creates a uniform access control framework that can be used to secure context-aware applications and presents a security architecture that supports security policies that make use of environment roles to control access to resources.
Journal ArticleDOI

Causal memory: definitions, implementation, and programming

TL;DR: This paper provides a formal definition of causal memory and gives an implementation for message-passing systems, and describes a practical class of programs that, if developed for a strongly consistent memory, run correctly with causal memory.
Journal ArticleDOI

The grid protocol: a high performance scheme for maintaining replicated data

TL;DR: In the new protocol, transaction processing is shared effectively among nodes storing copies of the data, and both the response time experienced by transactions and the system throughput are improved significantly.
Proceedings ArticleDOI

Incentives in BitTorrent induce free riding

TL;DR: The analysis and the experimental results show that the original incentive mechanism of BitTorrent can induce free riding because it is not effective in rewarding and punishing downloaders properly, and a new mechanism proposed is shown to be more robust against free riders.
Proceedings ArticleDOI

A context-aware security architecture for emerging applications

TL;DR: This document provides a concrete realization of a generalized access control model that makes significant use of contextual information in policy definition by presenting a system-level service architecture, as well as early implementation experience with the framework.