Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Service-Oriented Architecture enables the composition of loosely coupled services provided with varying Quality of Service (QoS) levels. Given a composition, finding the set of services that optimizes some QoS attributes under given QoS constraints has been shown to be NP-hard. Therefore, heuristic algorithms are widely used, finding acceptable solutions in polynomial time. Still the time complexity of such algorithms can be prohibitive for real-time use, especially if the algorithms are required to run until they find near-optimal solutions. Thus,  propose a heuristic approach based on Hill-Climbing that makes effective use of an initial bias computed with Linear Programming, and works on a reduced search space. In our evaluation,  show that our approach finds near-optimal solutions and achieves a low time complexity.
['Adrian Klein', 'Fuyuki Ishikawa', 'Shinichi Honiden']
I am writing a research paper on a idea Efficient Heuristic Approach with Improved Time Complexity for Qos-Aware Service Composition
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Heuristic Approach with Improved Time Complexity for Qos-Aware Service Composition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Service-Oriented Architecture enables the composition of loosely coupled services provided with varying Quality of Service (QoS) levels. Given a composition, finding the set of services that optimizes some QoS attributes under given QoS constraints has been shown to be NP-hard. Therefore, heuristic algorithms are widely used, finding acceptable solutions in polynomial time. Still the time complexity of such algorithms can be prohibitive for real-time use, especially if the algorithms are required to run until they find near-optimal solutions. Thus,  propose a heuristic approach based on Hill-Climbing that makes effective use of an initial bias computed with Linear Programming, and works on a reduced search space. In our evaluation,  show that our approach finds near-optimal solutions and achieves a low time complexity."}]