Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Design and implementation of a distributed virtual machine for networked computers
Proceedings of the seventeenth ACM symposium on Operating systems principles
Security Engineering: A Guide to Building Dependable Distributed Systems
Security Engineering: A Guide to Building Dependable Distributed Systems
The many faces of publish/subscribe
ACM Computing Surveys (CSUR)
OLS: opportunistic localization system for smart phones devices
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
Scheduling large jobs by abstraction refinement
Proceedings of the sixth conference on Computer systems
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In real-time middleware, latency is a critical aspect. When the input rate exceeds a certain threshold, queuing will result in an exponentially increasing delay. Distributed computing enables scaling so that this growing latency is kept at a constant minimum. When developing a generic framework, redundancy, platform independency, fault tolerance and transparency are important features that need to be taken care of. The authors' test case, a localization system that is used to track multiple objects, is an example of such a heavy loaded and latency critical system. This specific test case requires that the framework quickly scales and reacts to changing loads, making this research challenging and innovative.