Article: Dynamic promotion resource allocation and capacity planning system using utility computing Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.80 pp.94 - 114 Abstract: In today's rapidly evolving marketing landscape, promotional campaigns have become a vital strategy for businesses to expand their market reach. However, the explosive surge in user traffic during promotions often poses significant challenges to corporate system resources, leading to degraded system performance. To address this, this paper first outlines a rational planning approach for all resources, optimising their allocation. Subsequently, based on user requests, the proxy server selects pre-configured resources from the resource pool and allocates them to users. Throughout the resource scheduling process, dynamic allocation and capacity planning for promotional resources are achieved using linear programming. This approach targets the total utility value of completed user request tasks while constraining expected task duration, costs, and parallel acceleration ratios. The experimental findings indicate that the proposed system achieves 87.8% usage of computational resources, 85.2% of storage resources, and 93.1% of network bandwidth resources. Inderscience Publishers - linking academia, business and industry through research

Title: Dynamic promotion resource allocation and capacity planning system using utility computing

Authors: Yue Liu; Cong Zhao

Addresses: College of Digital Economy, Hunan Vocational College of Electronic and Technology, Changsha, 410203, China ' College of Digital Economy, Hunan Vocational College of Electronic and Technology, Changsha, 410203, China

Abstract: In today's rapidly evolving marketing landscape, promotional campaigns have become a vital strategy for businesses to expand their market reach. However, the explosive surge in user traffic during promotions often poses significant challenges to corporate system resources, leading to degraded system performance. To address this, this paper first outlines a rational planning approach for all resources, optimising their allocation. Subsequently, based on user requests, the proxy server selects pre-configured resources from the resource pool and allocates them to users. Throughout the resource scheduling process, dynamic allocation and capacity planning for promotional resources are achieved using linear programming. This approach targets the total utility value of completed user request tasks while constraining expected task duration, costs, and parallel acceleration ratios. The experimental findings indicate that the proposed system achieves 87.8% usage of computational resources, 85.2% of storage resources, and 93.1% of network bandwidth resources.

Keywords: market promotion; resource allocation; capacity planning; utility computing linear programming.

DOI: 10.1504/IJICT.2026.155107

International Journal of Information and Communication Technology, 2026 Vol.27 No.80, pp.94 - 114

Received: 10 Apr 2026
Accepted: 10 May 2026
Published online: 27 Jul 2026 *

Title: Dynamic promotion resource allocation and capacity planning system using utility computing

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