Slashing the Disaggregation Tax in Heterogeneous Data Centers with FractOS
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Disaggregated heterogeneous data centers promise higher efficiency, lower total costs of ownership, and more flexibility for data-center operators. However, current software stacks can levy a high tax on application performance. Applications and OSes are designed for systems where local PCIe-connected devices are centrally managed by CPUs, but this centralization introduces unnecessary messages through the shared data-center network in a disaggregated system. We present FractOS, a distributed OS that is designed to minimize the network overheads of disaggregation in heterogeneous data centers. FractOS elevates devices to be first-class citizens, enabling direct peer-to-peer data transfers and task invocations among them, without centralized application and OS control. FractOS achieves this through: (1) new abstractions to express distributed applications across services and disaggregated devices, (2) new mechanisms that enable devices to securely interact with each other and other data-center services, (3) a distributed and isolated OS layer that implements these abstractions and mechanisms, and can run on host CPUs and SmartNICs. Our prototype shows that FractOS accelerates real-world heterogeneous applications by 47%, while reducing their network traffic by 3×.
Details
Original language | English |
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Title of host publication | EuroSys 2022 - Proceedings of the 17th European Conference on Computer Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 352-367 |
Number of pages | 16 |
ISBN (electronic) | 9781450391627 |
ISBN (print) | 9781450391627 |
Publication status | Published - 28 Mar 2022 |
Peer-reviewed | Yes |
Conference
Title | 17th European Conference on Computer Systems, EuroSys 2022 |
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Duration | 5 April 2022 |
City | Rennes |
Country | France |
External IDs
Mendeley | c0771692-23bd-3d53-ba98-04df0d8f5307 |
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dblp | conf/eurosys/VilanovaMBMHARH22 |
Keywords
Research priority areas of TU Dresden
ASJC Scopus subject areas
Keywords
- Capabilities, Data center, Distributed systems, Operating systems, Resource disaggregation