The state of the art in locally distributed Web-server systems
ACM Computing Surveys (CSUR)
Session-Based Admission Control: A Mechanism for Peak Load Management of Commercial Web Sites
IEEE Transactions on Computers
An adaptive load balancing scheme for web servers
International Journal of Network Management
TPC-W: A Benchmark for E-Commerce
IEEE Internet Computing
Learning response time for WebSources using query feedback and application in query optimization
The VLDB Journal — The International Journal on Very Large Data Bases
On admission control for profit maximization of networked service providers
WWW '03 Proceedings of the 12th international conference on World Wide Web
A method for transparent admission control and request scheduling in e-commerce web sites
Proceedings of the 13th international conference on World Wide Web
Improved Prediction for Web Server Delay Control
ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
Towards autonomic web-sites based on learning automata
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Flash crowd mitigation via adaptive admission control based on application-level observations
ACM Transactions on Internet Technology (TOIT)
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Timing Performance Control in Web Server Systems Utilizing Server Internal State Information
ICAS-ICNS '05 Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services
Off the beaten tracks: exploring three aspects of web navigation
Proceedings of the 15th international conference on World Wide Web
Feedback Control Architecture and Design Methodology for Service Delay Guarantees in Web Servers
IEEE Transactions on Parallel and Distributed Systems
Analytic modeling of multitier Internet applications
ACM Transactions on the Web (TWEB)
Distributed Server Selection and Admission Control in Replicated Web Systems
ISPDC '07 Proceedings of the Sixth International Symposium on Parallel and Distributed Computing
Agile dynamic provisioning of multi-tier Internet applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
An Autonomic Admission Control Policy for Distributed Web Systems
MASCOTS '07 Proceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Decoupling contention management from scheduling
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems
SnowFlock: Virtual Machine Cloning as a First-Class Cloud Primitive
ACM Transactions on Computer Systems (TOCS)
Adaptive admission control algorithm in a QoS-aware Web system
Information Sciences: an International Journal
Hi-index | 0.00 |
Overload control is a challenging problem for web-based applications, which are often prone to unexpected surges of traffic. Existing solutions are still far from guaranteeing the necessary responsiveness under rapidly changing operative conditions. We contribute an original self-* overload control (SOC) algorithm that self-configures a dynamic constraint on the rate of incoming new sessions in order to guarantee the fulfillment of the quality requirements specified in a service level agreement (SLA). Our algorithm is based on a measurement activity that makes the system capable of self-learning and self-configuring even in the case of rapidly changing traffic scenarios, dynamic resource provisioning or server faults. Unlike other approaches, our proposal does not require any prior information about the incoming traffic, or any manual configuration of key parameters. We ran extensive simulations under a wide range of operating conditions. The experiments show how the proposed system self-protects from overload, meeting SLA requirements even under intense workload variations. Moreover, it rapidly adapts to unexpected changes in available capacity, as in the case of faults or voluntary architectural adjustments. Performance comparisons with other previously proposed approaches show that our algorithm has better performance and more stable behavior.