Munin: distributed shared memory based on type-specific memory coherence
PPOPP '90 Proceedings of the second ACM SIGPLAN symposium on Principles & practice of parallel programming
U-Net: a user-level network interface for parallel and distributed computing
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Lightweight logging for lazy release consistent distributed shared memory
OSDI '96 Proceedings of the second USENIX symposium on Operating systems design and implementation
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Proceedings of the seventeenth ACM symposium on Operating systems principles
Distributed data structures in Linda
POPL '86 Proceedings of the 13th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
SCRIBE: The Design of a Large-Scale Event Notification Infrastructure
NGC '01 Proceedings of the Third International COST264 Workshop on Networked Group Communication
ACM Transactions on Computer Systems (TOCS)
Dynamic resource allocation for shared data centers using online measurements
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Persistent dropping: an efficient control of traffic aggregates
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Capriccio: scalable threads for internet services
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Why events are a bad idea (for high-concurrency servers)
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
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Emulation plays a central role in the performance evaluation, capacity planning, and workload characterization of servers and data centers. Emulation tools usually require developers to focus on mimicking application behavior as well as to deal with system-level details of managing the emulation. With the continuing increase in computing capacity and complexity, capturing the interactions between different parts of an emulation (e.g., clients' reactions to server reconfiguration) increases the complexity and overhead of emulation design. Furthermore, since the amount of measurement data can easily be huge, efficient data management is becoming a key requirement to the proper scalability of any emulation tool. In this paper, we propose Eve, an efficient emulation environment that provides rapid development of distributed and adaptive emulators. By incorporating in-path data processing and custom triggers into a distributed shared variable (DSV) core, Eve provides full and customizable control of how and when measurement data is moved from the source to the DSV, where the data is stored. Both functions simplify data management and minimize the overhead of frequent updates, thus enhancing the created emulator's scalability. They also simplify feedback monitoring and control when creating adaptive emulators. The capabilities of Eve are shown to allow emulation designers to focus on application behavior rather than on system-level details.