Research Papers On Distributed Systems

The below is a collection of material I've found useful for motivating these changes.Ramblings that make you think about the way you design.Not everything can be solved with big servers, databases and transactions.

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Parallel and distributed algorithms, focusing on topics such as: numerical, combinatorial, and data-intensive parallel algorithms, locality-aware and power-aware parallel algorithms, streaming algorithms, parallel algorithms in specific domains such as machine learning and network science, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.

Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific, biological and medical applications, and mobile computing.

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