document: Towards network-aware service composition in the cloud Service-Oriented Computing ( SOC ) enables the composition of loosely coupled services provided with varying Quality of Service ( QoS ) levels . Selecting a ( near - ) optimal set of services for a composition in terms of QoS is crucial when many functionally equivalent services are available . With the advent of Cloud Computing , both the number of such services and their distribution across the network are rising rapidly , increasing the impact of the network on the QoS of such compositions . Despite this , current approaches do not differentiate between the QoS of services themselves and the QoS of the network . Therefore , the computed latency differs substantially from the actual latency , resulting in suboptimal QoS for service compositions in the cloud . Thus , we propose a network-aware approach that handles the QoS of services and the QoS of the network independently . First , we build a network model in order to estimate the network latency between arbitrary services and potential users . Our selection algorithm then leverages this model to find compositions that will result in a low latency given an employed execution policy . In our evaluation , we show that our approach efficiently computes compositions with much lower latency than current approaches .
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