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Performance-cost trade-offs in heterogeneous clouds

Abstract : Cloud infrastructures provide on-demand access to a large variety of computing devices with different performance and cost. This creates many opportunities for cloud users to run applications having complex resource requirements, starting from large numbers of servers with low-latency interconnects, to specialized devices such as GPUs and FPGAs. User expectations regarding the execution of applications may vary between the fastest possible execution, the cheapest execution or any trade-off between the two extremes. However, enabling cloud users to easily make performance-cost trade-offs is not a trivial exercise and choosing the right amount and type of resources to run applications accordingto user expectations is very difficult. This thesis proposes three contributions to enable performance-cost trade-offs for application execution in heterogeneous clouds by following two directions: make good use of resources and make good choice of resources. We propose as a first contribution a method to share FPGA-based accelerators in cloud infrastructures having the objective to improve their utilization. As a second contribution we propose profiling methods to automate the selection of heterogeneous resources for executing applications under user objectives. Finally, we demonstrate how these technologies can be implemented and exploited in heterogeneous cloud platforms.
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Submitted on : Monday, January 9, 2017 - 4:50:29 PM
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  • HAL Id : tel-01419975, version 2


Ancuta Iordache. Performance-cost trade-offs in heterogeneous clouds. Operating Systems [cs.OS]. Université Rennes 1, 2016. English. ⟨NNT : 2016REN1S045⟩. ⟨tel-01419975v2⟩



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