VLDB 2026 Research / reviewers in the wild / expert
Chrisma Pakha
dblp:207/1877
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 44% Cloud and datacenter computing · 44% Parallel and multicore computing · 13% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › i/o › i/o subsystem
i/o scheduling |
0.3 | 1 | 2017 | MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS Interface · SOSP 2017 |
Storage systems › i/o architecture › i/o subsystem
i/o stack |
0.3 | 1 | 2017 | MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS Interface · SOSP 2017 |
Cloud and datacenter computing › quality of service
tail latency |
0.3 | 1 | 2017 | MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS Interface · SOSP 2017 |
Parallel and multicore computing › data parallelism
data-parallel applications |
0.1 | 1 | 2017 | MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS Interface · SOSP 2017 |
Methods — techniques the papers use, named apart from their topics
fast rejection · 0.6SLO prediction · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | MittOS: Supporting Millisecond Tail Tolerance with Fast Rejecting SLO-Aware OS InterfaceabstractMittOS provides operating system support to cut millisecond-level tail latencies for data-parallel applications. In MittOS, we advocate a new principle that operating system should quickly reject IOs that cannot be promptly served. To achieve this, MittOS exposes a fast rejecting SLO-aware interface wherein applications can provide their SLOs (e.g., IO deadlines). If MittOS predicts that the IO SLOs cannot be met, MittOS will promptly return EBUSY signal, allowing the application to failover (retry) to another less-busy node without waiting. We build MittOS within the storage stack (disk, SSD, and OS cache managements), but the principle is extensible to CPU and runtime memory managements as well. MittOS' no-wait approach helps reduce IO completion time up to 35% compared to wait-then-speculate approaches. Mingzhe Hao, Huaicheng Li, Michael Hao Tong, Chrisma Pakha, Riza O. Suminto, Cesar A. Stuardo, Andrew A. Chien, Haryadi S. Gunawi |
SOSP | 4 |