Privacy-aware Robust Proactive Content Caching using Edge Service Providers

Rishi Kashyap, Manasa Bhat, Deepa Umashankar, Vamsi Krishna Tumuluru
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引用次数: 1

Abstract

In this paper, we propose a novel proactive content caching problem in which a set of contending edge service providers (ESPs) in a given region offer their storage and link capacities to the content provider (CP). The privacy of each contending ESP is preserved in the proposed caching problem. Each ESP independently determines the amount of storage and link capacity it can offer to the CP based on the local forecast of the content requests and its local edge resources. Unlike existing works, an ESP’s decision making problem is modeled as a robust mixed integer problem due to the uncertain storage capacity. Based on the offers made by the ESPs and its own prediction of the content requests, the CP determines the optimal content placement decisions while reserving the storage and link capacities under the ESPs in order to serve its clients at different bit rates. The CP also finds the optimal allocation of predicted requests across the ESPs. The decisions of the CP are found using a separate mixed integer problem which minimizes the payments given by the CP to the ESPs for their service. We show the impact of the robust parameter on the content placement decisions. We also perform sensitivity analysis of the CP’s decisions.
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使用边缘服务提供商的具有隐私意识的健壮的主动内容缓存
在本文中,我们提出了一种新的主动内容缓存问题,在该问题中,给定区域内的一组竞争边缘服务提供商(esp)向内容提供商(CP)提供其存储和链接容量。在提出的缓存问题中,每个竞争ESP的隐私都得到了保护。每个ESP根据对内容请求的本地预测及其本地边缘资源,独立地确定它可以提供给CP的存储量和链接容量。与现有研究不同,由于存储容量的不确定性,ESP的决策问题被建模为鲁棒混合整数问题。CP根据esp提供的内容和自己对内容请求的预测,决定最优的内容放置决策,同时保留esp下的存储和链接容量,以便以不同的比特率为客户提供服务。CP还找到跨esp的预测请求的最佳分配。使用一个单独的混合整数问题来找到CP的决策,该问题使CP对esp的服务支付最小化。我们展示了鲁棒参数对内容放置决策的影响。我们还对CP的决策进行了敏感性分析。
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