Abstract
This article proposes distributed decision-making algorithms for reliable operation in cloud-assisted social network architectures. The considered architecture consists of three types of units: a cloud platform, access units, and mobile units (MUs). For reliable operations in such architectures, two distributed decision-making algorithms are proposed: (1) decision-making for fair connection at MUs and (2) decision-making for dynamic buffering at access units. For the decision-making in fair connection at MUs, the deployed MUs find their new access units to be associated with them when currently associated access units are out of order. The proposed algorithm works considering buffer backlog in access units, achievable rates with access units, and the number of associated MUs in access units. For the decision-making in dynamic buffering at access units, the buffers in access units are dynamically controlled for time-average expected power consumption minimization (i.e. energy-efficiency maximization) subjected to buffer stability.
Highlights
Since the social network service (SNS) data are stored in cloud-based centralized storage, the corresponding wireless text, image, and video data flow management from SNS mobile units (MUs) to a cloud platform (CP) storage is of great interest
Since millimeter-wave wireless backhaul and access communications have been widely studied,[6] the connections between (1) access units (AUs) and a CP and (2) AUs and MUs should be established over mmWave wireless channels. In this given network architecture, which includes a CP, AUs, and MUs, each AU is associated with multiple MUs with various scheduling policies
Access links between AUs and MUs generally use 28 or 38 GHz channels which have been studied for the 5G cellular network architectures.[7,8,9]
Summary
Social networks have emerged recently to be one of the most popular distributed computing paradigms,[1] making the social network service (SNS) platform as one of the most essential networking architectures.[2,3,4,5] Since the SNS data are stored in cloud-based centralized storage, the corresponding wireless text, image, and video data flow management from SNS mobile units (MUs) to a cloud platform (CP) storage is of great interest. Backhaul links between AUs and a CP generally utilize a 60-GHz channel.[6] access links between AUs and MUs generally use 28 or 38 GHz channels which have been studied for the 5G cellular network architectures.[7,8,9] For reliable operations in this cloud-assisted SNS platform, two distributed decisionmaking algorithms are proposed in this article: (1) decision-making for fair connection in each MU and (2). The proposed fair algorithm considers additional factors, such as (1) the buffer backlog in each AU to avoid overflows, (2) the number of associated MUs in each AU to consider scheduling impacts, and (3) bandwidth in 28 and 38 GHz channels. Note that the oxygen attenuation is negligible in 38 or 28 GHz radios (\0.1 dB/Km).[16]
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