1. What contributions have the authors mentioned in the paper "Agent-based cloud service composition" ?
This work proposes an agent-based approach to compose services in multi-Cloud environments for different types of Cloud services: one-time virtualized services, e. g., processing a rendering job, persistent virtualized services, e. g., infrastructure-as-a-service scenarios, vertical services, e. g., integrating homogenous services, and horizontal services, e. g., integrating heterogeneous services.. Empirical results obtained from an agent-based testbed show that agents in this work can: successfully compose services to satisfy service requirements, autonomously select services based on dynamic fees, effectively cope with constantly changing consumers ’ service needs that trigger updates, and compose services in multiple Clouds even with incomplete information about Cloud participants.
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2. What future works have the authors mentioned in the paper "Agent-based cloud service composition" ?
Finally, a series of experiments ( Sect. 4 ) were conducted: ( i ) to evaluate the self-organization capabilities of agents, ( ii ) to compare agents adopting SCTs with incomplete knowledge versus agents using a central directory with complete knowledge, ( iii ) to study the performance of the agent-based Cloud service composition testbed, and ( iv ) to evaluate the effectiveness and efficiency of updating persistent service compositions.. In the future, the authors plan to conduct experiments on a much larger scale to evaluate the scalability of the agent-based Cloud service composition approach in real world settings by deploying the testbed using RESTful web services APIs for accessing Cloud resources following [ 5 ].. Additional directions for future work consist of: ( i ) Engineering agent behaviors for creating and maintaining SCTs through agent collaboration.. The empirical results ( Sect. 4 ) show that via agent collaboration and self-organization, Cloud service compositions can be efficiently achieved and evolved based on constantly changing consumers ’ requirements, even in Cloud-computing environments where services fees vary based on a supply-and-demand basis, and where no complete information about distributed Cloud participants is available.
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3. What is the underlying structure of SR-CNP?
The underlying structure of SR-CNP (as a semi-recursive agent interaction protocol) is based on (recursive calls of) the contract net protocol [46], which is a distributed problem solving technique used for establishing service contracts among consumers and contractors.
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4. What is the role of the workflow planner agent in the process of creating a service?
Whereas a cost-based selection mechanism is integrated into the service composition method to execute workflows, the workflow planner agent assumes complete knowledge about existing services, and both the workflow planner and broker agents centralize the service composition process.
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