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Khandelwal, Veena
- Cost Optimization Over Amazon EC2 Spot Instances-Research Challenges
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Authors
Affiliations
1 Rajasthan Technical University, Kota, Rajasthan, IN
1 Rajasthan Technical University, Kota, Rajasthan, IN
Source
International Journal of Distributed and Cloud Computing, Vol 5, No 2 (2017), Pagination: 1-6Abstract
Amazon EC2 Spot Instances (SIs) create a competitive low price computing facility. Spot prices are typically far below on-demand prices, and this makes them most suitable to lower the cost of tasks and potentially execute them when there are many spot instances available. However, using spot instances for potential cost savings is a challenging task. The volatility of spot instances deteriorates the QoS of users which in turn limits their usage and escalates the complexity of cloud environment. The surge in utility computing has introduced many trade-offs between price, performance and recently reliability. This paper presents vision and challenges in using spot instances.Keywords
Amazon EC2, Challenges, Spot Instances.
References
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- Amazon EC2 Locations for Spot Pricing - A Hierarchical Clustering Approach
Abstract Views :226 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science & Engineering, SRM Institute of Science and Technology, IN
2 Manager, KPMG Services Pte. Ltd.,, SG
1 Department of Computer Science & Engineering, SRM Institute of Science and Technology, IN
2 Manager, KPMG Services Pte. Ltd.,, SG
Source
International Journal of Distributed and Cloud Computing, Vol 9, No 1 (2021), Pagination: 18-27Abstract
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
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