2017 Proceeding- Conference Chairs:
- Mohammad Sadoghi,
- Evangelia Kalyvianaki
No abstract available.
Proceeding Downloads
Message-oriented middleware for edge computing applications
Edge computing is an emerging paradigm which aims to leverage the ever increasing amount of computational resources at the edge of the network to satisfy the stringent quality of service (QoS) requirements of many modern Internet of Things (IoT) ...
Continuous experimentation for software developers
Recent advances in build, test, and deployment automation not only enable companies shipping new functionality faster to their users, but also provide them the ability to experiment with functionality on small fractions of the user base first. These ...
End-to-end regression testing for distributed systems
Even with substantial advances in tools and research techniques, distributed systems remain challenging to test. One frustrating aspect of distributed systems development is the resurfacing of old problems due to code changes. Regression test suites ...
Towards a framework for orchestrated distributed database evaluation in the cloud
The selection and operation of a distributed database management system (DDBMS) in the cloud is a challenging task as supportive evaluation frameworks miss orchestrated evaluation scenarios, hindering comparable and reproducible evaluations for ...
Toward software updates in IoT environments: why existing P2P systems are not enough
The number of connected devices is growing, as well as their embedded software complexity. Applications require management and updates. Modern software orchestrators and management systems are mostly centralised and expensive to scale to very large ...
Towards accelerating synchrophasor based linear state estimation of power grid systems
Phasor Measurement Units (PMUs) are high speed monitoring devices that present a reliable and dynamic picture of the power grid. Many real time grid applications may benefit from these measurements. Synchrophasor only Linear State Estimator (LSE) is one ...
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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% |