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Cloud computing aims at providing services on the basis of a shared pool of underpinning resources and load balancing is of paramount importance in such an environment. At the same time, multi-tenancy is widely adopted in cloud computing to reduce the costs of service provisioning and to improve resource utilization. Multi-tenancy brings new challenges to load balancing, since it incurs resource competition...
Quality assessment of Multiobjective Optimization Evolutionary Algorithms (MOEA) has been a major concern in scientific field during the last few years. The entropy metric is introduced and highlighted in computing the diversity of MOEA. Existing performance metrics are briefly reviewed. The advantages of entropy approach over other diversity metrics are classified here. Besides, the definition of...
It is important to integrate contextual information in order to improve the performance of automatic image annotation. Graph based representations allow incorporation of such information. In this paper, we propose a graph-based approach to automatic image annotation which models both feature similarities and semantic relations in a single graph. The annotation quality is enhanced by introducing graph...
Image semantic has the characters of vague and abstractive, therefore, only low-level feature is not enough to describe image semantics. It requires to combine with image related content in order to improve the accuracy of the image annotation In this paper, An image annotation algorithm based on mutual K adjacency graph is proposed which describes the relationship between the low-level features,...
In order to improve the computing speed of automatic image annotation. We propose a fast solution for this problem in this paper. First, the proposed approach describes the relationship between the low-level features, annotated words and image by a multi-modal graph which is linear correlation, block-wise and community-like structure. Second, we, to achieve fast solution of the problem, exploit the...
Here we depart from the standard stabilization objective of adaptive control and assume that for the plant to be controlled a parametrization of the regulator insuring closed-loop stability is known. The structure, dynamic order and number of adjustable parameters of the compensator are at the designer's disposal and no assumptions, except linearity are imposed on the plant. We propose an on-line...
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