The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Component based energy aware multi-tenant application in software as-a service
Abstract
Today as software applications tend to move towards cloud computing infrastructure, the energy requirements at datacenter also tend to rise significantly. Multi-tenancy enables SaaS providers offer a single application to multiple different tenants (i.e. organizations) simultaneously. Multi-tenancy has various advantages including effective version control, cost control and much more. However, the energy consumption at datacenter is still a challenge, in modern CPU, dynamic voltage/frequency scaling is used as a standard to achieve energy efficiency in processors. However, an idle server utilizes up to 70% of its peak energy requirement to run system software and maintain essential hardware devices. In this paper, we propose an energy-aware application component migration method that computes the load of the datacenter servers by considering the number of components attached to the servers, count of tenant users accessing the application components; components strike rate and various other vital factors in choosing components to migrate. When all components of the underutilized servers are migrated the server is powered off to conserve energy. We evaluate our proposed algorithm using discrete event simulation. Our evaluation and discussion exhibits the usefulness of the proposed solution by reducing the number of server up and reducing energy consumption at datacenter.
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Cites
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Research works printed but not linked: 5
- heiko, 2011, The SPOS a d architectural style for multi-Tenant software applications, Software Architecture (WICS A) 2011 9th Working i e e E/IFIP Conference On i e e e
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Cited by
Sorted by citations
Energy efficiency in cloud computing data centers: a survey on software technologies
Katal, A., Dahiya, S., & Choudhury, T. (2023) · Cluster Computing · doi:10.1007/s10586-022-03713-0 · Cited by 516
“The authors of [29] proposed an energy-aware application element migration technique that calculates the load of data centre servers by taking the number of components connected to the servers, the number of rental people attempting to access the software applications, the component strike rate, and various other impo…”
Background
Metadata
- Authors
- Samrajesh, M. D., & Gopalan, N. P.
- Affiliations
- Bharathiar University (IN)
- National Institute of Technology Tiruchirappalli (IN)
- Venue
- 2013 15th International Conference on Advanced Computing Technologies (ICACT)
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 1-5
- OpenAlex
- W2539451185
- Cited by
- 5
- References
- 17
- Citations by year
- 2025: 1 · 2022: 1 · 2019: 1 · 2016: 2
- FWCI
- 0.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Keywords
- multi-tenancy, software as a service, data center energy consumption, dynamic voltage and frequency scaling, load balancing, cloud computing
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