원문정보
초록
영어
Cloud services is a typical trait of cloud computing. It allows tenants rent customizable services transparently, and guarantees substantial cost savings for the providers. With the significant number of cloud services, a key challenge when providing customizable cloud services is how to manage those services and find an optimized configuration service rapidly that maximizes tenants’ preferences, subject to resource constraints. To help address this challenge, this paper introduces a novel approach to support the modeling and configuration of customizable cloud services. In particular, we propose a customizable service selecting and configuring optimization approach based on a heuristic approach, which can quickly derive an optimized valid service selection by evaluation different configurations that optimize tenants’ preferences under resource limitations. The scalability and performance of the algorithms is investigated in detail. And the obtained experimental results demonstrate the feasibility of the proposed method.
목차
1. Introduction
2. Motivathing Example and Problem Analysis
3. Cloud Services Configuration Problem
3.1. Extended Feature Model
3.2 Configuration Model and Objective
4. Customizable Service Optimization Configuration Algorithms
4.1. Binary Particles Swarm Optimization Algorithm
4.2 Customizable Service Selecting and Configuring Optimization Approaches
5. Experimental Evaluation
6. Conclusion
References