Market mechanisms for managing datacenters with heterogeneous microarchitectures
ACM Transactions on Computer Systems (TOCS)
The sharing architecture: sub-core configurability for IaaS clouds
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
REF: resource elasticity fairness with sharing incentives for multiprocessors
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Price theory based power management for heterogeneous multi-cores
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Hi-index | 0.00 |
Specialization of datacenter resources brings performance and energy improvements in response to the growing scale and diversity of cloud applications. Yet heterogeneous hardware adds complexity and volatility to latency-sensitive applications. A resource allocation mechanism that leverages architectural principles can overcome both of these obstacles. We integrate research in heterogeneous architectures with recent advances in multi-agent systems. Embedding architectural insight into proxies that bid on behalf of applications, a market effectively allocates hardware to applications with diverse preferences and valuations. Exploring a space of heterogeneous datacenter configurations, which mix server-class Xeon and mobile-class Atom processors, we find an optimal heterogeneous balance that improves both welfare and energy-efficiency. We further design and evaluate twelve design points along the Xeon-to-Atom spectrum, and find that a mix of three processor architectures achieves a 12脳 reduction in response time violations relative to equal-power homogeneous systems.