Abstract
Application service providers ASPs obtaining resources from multiple clouds have to contend with different management and control platforms employed by the cloud service providers CSPs and network service providers NSPs. Distributing applications on multiple clouds has a number of benefits, but absence of a common multi-cloud management platform that would allow ASPs dynamic and real time control over resources across multiple clouds and interconnecting networks makes this task arduous. Open application delivery network OpenADN, a multi-cloud management and control platform, fills this gap. However, performance issues of such a complex, distributed and multi-threaded platform, not tackled appropriately, may neutralise some of the gains accruable to the ASPs. In this paper, we establish the need for and methods of collecting precise and fine-grained behavioural data of OpenADN like platforms that can be used to optimise their behaviour to control operational cost, performance e.g., latency and energy consumption.
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