Distributed and reliable decision-making for cloud-enabled mobile service platforms

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 decisionmaking 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.

Social Network Evolution: The Case of UK Companies Before and After Brexit

“…Although dynamic network research is not as popular as static network study, network dynamic could capture missing elements which static networks could not provide [14]. The concept of network evolution and the way networks form have been gaining considerable attention in academia mostly due to its pertinence to the development of various popular research such as big data processing [29], information diffusion in social networks [30], distributed search [31], evolution pattern mining on dynamic social network [32] and knowledge exchange and innovation through dynamic social network lens [33]. Examining dynamic social networks overcomes the static network problems.…”