Resource containers: a new facility for resource management in server systems
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Web content adaptation to improve server overload behavior
WWW '99 Proceedings of the eighth international conference on World Wide Web
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Performance and scalability of EJB applications
OOPSLA '02 Proceedings of the 17th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
The Vision of Autonomic Computing
Computer
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
Performance by Design: Computer Capacity Planning By Example
Performance by Design: Computer Capacity Planning By Example
Low-overhead call path profiling of unmodified, optimized code
Proceedings of the 19th annual international conference on Supercomputing
Data compression algorithms for energy-constrained devices in delay tolerant networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Energy conservation policies for web servers
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Comprehensive profiling support in the javaTM virtual machine
COOTS'99 Proceedings of the 5th conference on USENIX Conference on Object-Oriented Technologies & Systems - Volume 5
Whodunit: transactional profiling for multi-tier applications
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Exploiting nonstationarity for performance prediction
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Using components for architecture-based management: the self-repair case
Proceedings of the 30th international conference on Software engineering
Causeway: support for controlling and analyzing the execution of multi-tier applications
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Self-optimization of clustered message-oriented middleware
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Designing self-adaptive multimedia applications through hierarchical reconfiguration
DAIS'05 Proceedings of the 5th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Self-optimisation of the energy footprint in service-oriented architectures
Proceedings of the 1st Workshop on Green Computing
QoS and energy management coordination using discrete controller synthesis
Proceedings of the 1st Workshop on Green Computing
Adaptive run-time performance optimization through scalable client request rate control
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
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Application servers are subject to varying workloads, which suggests an autonomic management to maintain optimal performance. We propose to integrate in the component-based programming model often used in current application servers the concept of service level adaptation, allowing some components to dynamically degrade or upgrade their level of service. Our goal is to be able, under heavy workloads, to trade a lower service level of the most resource-intensive components for a stable performance of the server as a whole. Upgrading or degrading components is autonomously performed through runtime profiling, which is used to estimate the application's hot spots and target adaptations. In addition to finding the best adaptations, this performance profile allows our system to characterize the effects of past adaptations; in particular given the current workload, it is possible to estimate if a service level upgrade might result in an overload. As a result, by stabilizing the server at peak performance via component adaptations, we are able to drastically improve both overall latency and throughput. For instance, on both the RUBiS1 and TPC-W benchmarks2, we are able to maintain peak performance in heavy load scenarios, far exceeding the initial capacity of the system.