How can we design and analyze data structures and algorithms to efficiently process large-scale graph data in
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How can we design and analyze data structures and algorithms to efficiently process large-scale graph data in distributed and parallel computing environments, taking into account factors such as data sparsity, data distribution, load balancing, fault tolerance, and communication overhead, to support various graph processing applications such as social network analysis, recommendation systems, and scientific simulations?
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Service Management Operations Strategy Information Technology
ISBN: 978-0077841201
8th edition
Authors: James Fitzsimmons, Mona Fitzsimmons, Sanjeev Bordoloi
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