Cognitive service caching method and system oriented to resource consumption application
A resource-oriented and caching system-oriented technology, applied in the field of supercomputing cloud environment, can solve problems such as poor caching strategy and failure to comprehensively consider caching influencing factors, and achieve the effect of less learning regret and less delay
Pending Publication Date: 2021-12-31
HUAZHONG UNIV OF SCI & TECH
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[0006] In view of the defects of related technologies, the purpose of the present invention is to provide a cognitive service caching method and system for resource-consuming applications, aiming to solve the problem that the existing technology does not comprehensively consider caching factors and cause poor caching strategies
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[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0056] In order to achieve the above purpose, an aspect of the embodiment of the present invention provides a cognitive service caching method for resource-consuming applications, including the following steps:
[0057] S1. Detect user cache awareness index and task cache awareness index;
[0058] S2. After normalizing the user cache awareness index and the task cache awareness index, they are fu...
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The invention discloses a cognitive service caching method and system oriented to resource consumption application, and belongs to the field of supercomputing cloud environments. The method comprises the following steps: firstly, constructing a service cache model with the minimum time delay, and minimizing the time delay required by a user to obtain service on the premise of meeting a task request sent by the user, namely solving a minimum task cost problem. The problem is solved under a multi-arm gambling (MAB) framework, and the service caching problem is converted into a combined multi-arm gambling machine problem. An improved combined multi-arm bandit algorithm is used for learning, an adaptive combined change factor UCB (CFUCB) algorithm is provided, and every time a user sends a request, the algorithm can use a cache perception index and a user request to learn and execute an optimal service cache decision. Compared with other caching methods, the cognitive service caching method provided by the invention has the advantages that the delay generated by the cognitive service caching method is less, and the learning regret is less, so that the cognitive caching method provided by the invention is superior to other caching methods.
Description
technical field [0001] The invention belongs to the field of supercomputing cloud environment, and more specifically, relates to a cognitive service caching method and system for resource consumption applications. Background technique [0002] As the basis of computing research, supercomputing serves major national scientific research projects, as well as scientific research in application fields such as education, meteorology, oceanography, artificial intelligence, and bioinformatics. Universities, enterprises and other units mostly use supercomputing in the form of self-built supercomputing clusters, but self-construction needs to go through a long process such as research, selection, price comparison, procurement, construction, deployment, security, asset management, operation and maintenance, and The cost input is huge, and the input output is relatively low. With the development of "cloud computing" and the combination of "supercomputing" and "cloud computing", a super...
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Login to View More IPC IPC(8): G06F12/0877G06F12/0866
CPCG06F12/0877G06F12/0866
Inventor 陈敏胡龙郝义学张臣玺
Owner HUAZHONG UNIV OF SCI & TECH