The Web server architectures that provide performance isolation, service differentiation, and QoS guarantees rely on external administrators to set the right parameter values for the desired performance. Due to the complexity of handling varying workloads and bottleneck resources, configuring such parameters optimally becomes a challenge. In this paper we describe an observation-based approach for self-managing Web servers that can adapt to changing workloads while maintaining the QoS requirements of different classes. In this approach, the system state is monitored continuously and parameter values of various system resources-primarily the accept queue and the CPU-are adjusted to maintain the system-wide QoS goals. We implement our techniques using the Apache Web server and the Linux operating system. We first demonstrate the need to manage different resources in the system depending on the workload characteristics. We then experimentally demonstrate that our observation-based system can adapt to workload changes by dynamically adjusting the resource shares in order to maintain the QoS goals.
|Original language||English (US)|
|Title of host publication||2002 10th IEEE International Workshop on Quality of Service, IWQos 2002|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||10|
|State||Published - 2002|
|Event||10th IEEE International Workshop on Quality of Service, IWQos 2002 - Miami Beach, United States|
Duration: May 17 2002 → …
|Name||IEEE International Workshop on Quality of Service, IWQoS|
|Other||10th IEEE International Workshop on Quality of Service, IWQos 2002|
|Period||5/17/02 → …|
Bibliographical notePublisher Copyright:
© 2002 IEEE.
Copyright 2015 Elsevier B.V., All rights reserved.
- Application software
- Computer architecture
- Computer science
- Condition monitoring
- Resource management
- Service oriented architecture
- Software performance
- Software systems
- Web server