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Go Hasegawa

Publications and source records attributed to Go Hasegawa.

2 recordsLinked to original sources

Adaptive Participation Under Statically Equivalent Incentives in Distributed Demand Response Systems

Aggregators recruit distributed energy resources with settlement rules and participation payments. Such designs are normally validated at fixed points: zero participation must cease to be an equilibrium, and truthful capability reporting must remain a best reply. We ask whether those checks determine the participation that owners reach once they adapt from the settlements they receive. In a five-unit event with fixed dispatch, payment rule and penalty, we vary only how a scarcity-contingent participation payment decays with the capability others have declared. Of two decay structures that agree on all five static criteria, one reaches full participation from a collapse initialization in 96 of 96 seeds and the other in none, within an 8000-round horizon and with disjoint 95% confidence intervals. The difference lies in the payoffs offered at partial participation, which the static criteria never evaluate; it is a property of experience-based feedback and closes when counterfactual payoffs are supplied. Because those payoffs make each unit's settlement depend on what the others declared, we also ask what survives when the mechanism is distributed. Running the aggregator and the five units as separate processes reproduced the centralized reference at every round, and a deliberately misattributed declaration was detected although every message was delivered.

cs.ET

An Online Orchestration Mechanism for General-Purpose Edge Computing

In recent years, the fast development of mobile communications and cloud systems has substantially promoted edge computing. By pushing server resources to the edge, mobile service providers can deliver their content and services with enhanced performance, and mobile-network carriers can alleviate congestion in the core networks. Although edge computing has been attracting much interest, most current research is application-specific, and analysis is lacking from a business perspective of edge cloud providers (ECPs) that provide general-purpose edge cloud services to mobile service providers and users. In this article, we present a vision of general-purpose edge computing realized by multiple interconnected edge clouds, analyzing the business model from the viewpoint of ECPs and identifying the main issues to address to maximize benefits for ECPs. Specifically, we formalize the long-term revenue of ECPs as a function of server-resource allocation and public data-placement decisions subject to the amount of physical resources and inter-cloud data-transportation cost constraints. To optimize the long-term objective, we propose an online framework that integrates the drift-plus-penalty and primal-dual methods. With theoretical analysis and simulations, we show that the proposed method approximates the optimal solution in a challenging environment without having future knowledge of the system.

cs.NI