International Journal of Distributed and Cloud Computing

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Amazon EC2 Locations for Spot Pricing - A Hierarchical Clustering Approach


Affiliations
1 Department of Computer Science & Engineering, SRM Institute of Science and Technology, India
2 Manager, KPMG Services Pte. Ltd.,, Singapore
     

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EC2 provides cloud services through several regions and availability zones. Spot instances are offered by Amazon EC2 through spot pricing. Amazon launched it simplified spot pricing model at Reinvent: 2017. The prices change less frequently now and are more predictable. To ensure availability, spot instances can be acquired from diversified locations. The biggest concern to the user is the identification of regions and availability zones to choose for optimizing cost and maximizing availability. The study attempts to find similarity in cost per instance among different EC2 locations according to Ward’s Hierarchical Clustering Algorithm. The analysis uses past 60 days history traces from last week of September to November 2019 of four different compute instance types across all Amazon EC2 regions and availability zones. Results suggest a significant amount of similarity in terms of cost of instance in spot pricing across different locations. This raises user’s confidence in adopting spot market.

Keywords

Amazon EC2 regions, Availability zones, Hierarchical clustering, Spot instances.
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  • Amazon EC2 Locations for Spot Pricing - A Hierarchical Clustering Approach

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Authors

Veena Khandelwal
Department of Computer Science & Engineering, SRM Institute of Science and Technology, India
Shantanu Khandelwal
Manager, KPMG Services Pte. Ltd.,, Singapore

Abstract


EC2 provides cloud services through several regions and availability zones. Spot instances are offered by Amazon EC2 through spot pricing. Amazon launched it simplified spot pricing model at Reinvent: 2017. The prices change less frequently now and are more predictable. To ensure availability, spot instances can be acquired from diversified locations. The biggest concern to the user is the identification of regions and availability zones to choose for optimizing cost and maximizing availability. The study attempts to find similarity in cost per instance among different EC2 locations according to Ward’s Hierarchical Clustering Algorithm. The analysis uses past 60 days history traces from last week of September to November 2019 of four different compute instance types across all Amazon EC2 regions and availability zones. Results suggest a significant amount of similarity in terms of cost of instance in spot pricing across different locations. This raises user’s confidence in adopting spot market.

Keywords


Amazon EC2 regions, Availability zones, Hierarchical clustering, Spot instances.

References