engleski

Distributed Multi-User QoS-Aware Service Selection

Previous research on service selection in cloud environments often assumes a centralized broker that keeps track of all candidate services and selects the appropriate candidate for each user request based on quality of service (QoS). As the number of users and services increases, the centralized service selection algorithm becomes a bottleneck. We propose a distributed, multi-broker selection algorithm that enables real-time processing of a large number of user requests. Each broker keeps track of a subset of users and a subset of service candidates, and rebalancing is performed to ensure that no broker is overloaded. The selection procedure considers the user QoS requirements, service QoS values and their processing capacities. Simulations demonstrate a clear advantage of the proposed approach over a single-broker approach by up to 96% in terms of QoS satisfaction when using 100 brokers, and especially in terms of response time satisfaction, showing positive impact of user and service balancing, and analyzing various selection algorithms run by the brokers.

Service Selection ; Quality of Service ; Distributed Systems ; Multi-Broker ; Load Balancing ; Services Computing

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