<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper proposes a special System Architecture for Multi-tenancy SaaS Service (SAMSS), which studies the performance security issues at the business logic layer and data processing layer respectively. The Kalman filtering Admission Control algorithm (KAC) and the Greedy Copy Management algorithm (GCM) are proposed. At the business logic layer, Kalman filtering admission control algorithm is presented. It uses a Kalman filter to conduct the dynamic evaluation for the CPU resource for multi-tenancy SaaS service and reduces the unnecessary performance expenses caused by direct measurement of CPU resources. At the data processing layer, the Greedy Copy Management algorithm (GCM) is presented. It changes the copy placement as a K-partitioning set partitioning problem and adopts a greedy strategy to reduce the number of times for creating a data copy. Finally, the experimental analysis and results prove the feasibility and efficiency of the algorithms proposed.</p></abstract>

This paper proposes a special System Architecture for Multi-tenancy SaaS Service (SAMSS), which studies the performance security issues at the business logic layer and data processing layer respectively. The Kalman filtering Admission Control algorithm (KAC) and the Greedy Copy Management algorithm (GCM) are proposed. At the business logic layer, Kalman filtering admission control algorithm is presented. It uses a Kalman filter to conduct the dynamic evaluation for the CPU resource for multi-tenancy SaaS service and reduces the unnecessary performance expenses caused by direct measurement of CPU resources. At the data processing layer, the Greedy Copy Management algorithm (GCM) is presented. It changes the copy placement as a K-partitioning set partitioning problem and adopts a greedy strategy to reduce the number of times for creating a data copy. Finally, the experimental analysis and results prove the feasibility and efficiency of the algorithms proposed.

Performance Guarantee Mechanism for Multi-Tenancy SaaS Service Based on Kalman Filtering

Department of Computer Science, Wuhan University of Technology, Wuhan, China

Information Engineering College, Henan Institute of Science and Technology, Xinxiang, China

Department of Microelectronics and Solid-State Electronics, University of Electronics Science and Technology of China, Chengdu, China

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper proposes a special System Architecture for Multi-tenancy SaaS Service (SAMSS), which studies the performance security issues at the business logic...

Performance Guarantee Mechanism for Multi-Tenancy SaaS Service Based on Kalman Filtering

Publié en ligne: 05 oct. 2015

Pages: 150 - 164

DOI: https://doi.org/10.1515/cait-2015-0048

Mots clés
Kalman filtering, business logic layer, data processing layer, multi-tenancy, SaaS

© Liu Yanpei et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Performance Guarantee Mechanism for Multi-Tenancy SaaS Service Based on Kalman Filtering

Publié en ligne: 05 oct. 2015

Pages: 150 - 164

DOI: https://doi.org/10.1515/cait-2015-0048

Mots clésKalman filtering, business logic layer, data processing layer, multi-tenancy, SaaS

© Liu Yanpei et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Kalman filtering, business logic layer, data processing layer, multi-tenancy, SaaS