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AVOC: history-aware data fusion for reliable IoT analytics
IoT systems rely on collected data to operate autonomously and generate insights. Such systems commonly produce redundant measurements, which can be insufficient to mitigate complex data disagreements. We believe a well-defined process to achieve ...
Revisiting data lakes: the metadata lake
We argue that emerging federated data management architectures require a means of gathering, linking, curating and enriching metadata in a graph. We call the system that supports these tasks a metadata lake. We explain the underlying architectural ...
Accelerating RocksDB for small-zone ZNS SSDs by parallel I/O mechanism
Zoned Namespace (ZNS) is a novel storage interface that offers logical zones aligned to a physical media (e.g., NAND flash) to the host system. Due to the out-of-place updating scheme of the physical media, a log-structured merged-tree (LSM-Tree)-based ...
Proposing a framework for evaluating learning strategies in vehicular CPSs
Highly-connected Vehicular Cyber-Physical Systems (VCPSs) offer manifold opportunities for distributing learning across the contained vehicles, road-side units and servers. However, simulating and evaluating particular distributed learning schemes poses ...
Closed loop optimization of 5G network slices
- Kavya Govindarajan,
- Seep Goel,
- Praveen Jayachandran,
- Steve Glover,
- Jose-Miguel Pulido Villaverde,
- Brian Naughton,
- Jacques Cresp,
- Joel Viale,
- Sophie Martin,
- Fabrice Livigni
The rapid adoption of Software Defined Networking (SDN) and Network Function Virtualization (NFV) in 5G telecommunication networks has made network slicing possible, where different customers with varying network requirements of latency, bandwidth, ...
LPR: learning-based page replacement scheme for scientific applications
Recent advances in machine learning techniques open up new opportunities for solving problems in other domains. One of these problems, the page replacement system, attempts to use machine learning techniques since they have a significant impact on ...
Towards data-driven additive manufacturing processes
Additive Manufacturing (AM), or 3D printing, is a potential game-changer in medical and aerospatial sectors, among others. AM enables rapid prototyping (allowing development/manufacturing of advanced components in a matter of days), weight reduction, ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
Middleware '22 | 21 | 8 | 38% |
Middleware '17 | 85 | 20 | 24% |
Middleware '17 | 20 | 7 | 35% |
Middleware '17 | 17 | 12 | 71% |
Middleware Industry '15 | 20 | 4 | 20% |
Middleware '15 | 118 | 23 | 19% |
Middleware '14 | 144 | 27 | 19% |
Middleware '12 | 18 | 13 | 72% |
Middleware '08 | 117 | 21 | 18% |
Middleware '07 | 108 | 22 | 20% |
Middleware '06 | 122 | 21 | 17% |
Middleware '03 | 158 | 25 | 16% |
Overall | 948 | 203 | 21% |