Authors:
Christine Markarian
and
Claude Fachkha
Affiliation:
College of Engineering and Information Technology Department, University of Dubai, Dubai, U.A.E.
Keyword(s):
Data Center Location, Economic Growth, Data Analytics, Competitive Analysis, Online Algorithms.
Abstract:
Governments worldwide have increasingly recognized the transformative potential of data analytics in economics, leading to the establishment of specialized research centers dedicated to economic analysis. These centers serve as hubs for experts to dissect economic indicators, inform policymaking, and foster sustainable growth. With data analytics playing a pivotal role in understanding economic trends and formulating policy responses, the strategic placement of data centers becomes crucial. In this paper, we address the strategic placement of data centers in urbanized environments within the framework of online algorithms. Online algorithms are designed to make sequential decisions without complete information about future inputs, making them suitable for dynamic urban environments. Specifically, we formulate the problem as the Online Data Center Placement problem (ODCP) and design a novel online algorithm for it. To gauge our algorithm’s effectiveness, we use competitive analysis, a
standard method for assessing online algorithms. This method compares our algorithm’s solutions with those of the optimal offline solution. Our study aims to provide a systematic approach for informed decision-making, optimizing resource usage, and fostering economic growth.
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