By Hamid Sarbazi-Azad; Albert Y Zomaya
A hugely obtainable reference providing a large variety of themes and insights on huge scale network-centric allotted platforms Evolving from the fields of high-performance computing and networking, huge scale network-centric dispensed platforms keeps to develop as some of the most vital issues in computing and conversation and plenty of interdisciplinary parts. facing either stressed out and instant networks, this ebook specializes in the layout and function problems with such platforms. huge Scale Network-Centric allotted platforms presents in-depth insurance starting from ground-level matters (such as buffer association, router hold up, and circulate keep an eye on) to the high-level matters instantly pertaining to software or process clients (including parallel programming, middleware, and OS aid for such computing systems). prepared in 5 components, it explains and analyzes complicated issues to an unheard of degree. Read more...
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Additional resources for Large Scale Network-Centric Distributed Systems
2 Task execution time. . . . . . . . . . . . . . . 3 Expenditure. . . . . . . . . . . . . . . . . 4 Task distribution. . . . . . . . . . . . . . . . 04 (excluding idle times)). . . . . . . . . . . . . . 2 Workflow structures of three MTW applications with the information on computation time (CT) and input/output data size of each task. . . 2. . 4 Comparison of the makespan of ScaleStar and LOSS3 for synthetic workflows.
10 Flits traverse the connection between nodes X and Y (the black solid line) in five cycles in a pipelined fashion. Flits are buffered at the black switches. . . . . . . . . . . . . . . . . . 11 The implementation of a mesh on the reconfigurable topology among all network nodes (a) and a selected set of cores, where the black nodes are active and the gray cores are inactive (dark) (b). . . . . . . 11 The area overhead of the reconfigurable NoC for different buffer depths (flits), network sizes (number of nodes), and link widths (bits).
23 Comparison of different algorithms’ MFT in random topologies of different size using MSTS. . . . . . . . . . . . . . 24 Comparison of different algorithms’ execution time in MCI network using MSTS. . . . . . . . . . . . . . . . . . 25 Comparison of different algorithms’ execution time in 100 nodes random topology using MSTS. . . . . . . . . . . . . . 26 Comparison of different algorithms’ execution time on random topologies with different size using MSTS.