Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Job Shop Scheduling with Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
An End-to-End QoS Management Architecture
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Interoperability among independently evolving web services
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Dynamic Provisioning of Multi-tier Internet Applications
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Feedback-based Scheduling for Back-end Databases in Shared Dynamic Content Server Clusters
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
QCWS: an implementation of QoS-capable multimedia web services
Multimedia Tools and Applications
Online Stochastic Combinatorial Optimization
Online Stochastic Combinatorial Optimization
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Load distribution of analytical query workloads for database cluster architectures
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Optimizing on-demand data broadcast scheduling in pervasive environments
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Dynamic Materialization of Query Views for Data Warehouse Workloads
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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Enterprises may use a service-oriented architecture (SOA) to provide a streamlined interface to their business processes. To scale up the system, each tier in a composite service usually deploys multiple servers for load distribution and fault tolerance. Such load distribution across multiple servers within the same tier can be viewed as horizontal load distribution. One limitation of this approach is that load cannot be further distributed when all servers in the same tier are fully loaded. In complex multi-tiered systems, a single business process may actually be implemented by multiple different computation pathways among the tiers, each with different components, in order to provide resiliency and scalability. Such SOA-based enterprise computing with multiple implementation options gives opportunities for vertical load distribution across tiers. In this paper, we propose a requestrouting framework for SOA-based enterprise computing that takes into consideration both horizontal and vertical load distribution. Through experimentation we show that our algorithm and methodology scale well up to a large system configuration comprising up to 1000 workflow requests to a complex composite service with multiple implementations. We also show that a combination of both horizontal and vertical load distributions gives the maximum flexibility to improve performance and fault tolerance.