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
Above the Clouds: A Berkeley View of Cloud Computing
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., Stoica, I. G., et al. (2009) · Cited by 5,838
Live migration of virtual machines
Clark, C. J., Fraser, K. A., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., & Warfield, A. (2005) · doi:10.5555/1251203.1251223 · Cited by 2,713
The Case for Energy-Proportional Computing
Barroso, L. A., & Hölzle, U. (2007) · Computer · doi:10.1109/mc.2007.443 · Cited by 2,548
Energy-aware server provisioning and load dispatching for connection-intensive internet services
Gong, C., He, W., Liu, J., et al. (2008) · Cited by 643
What's inside the Cloud? An architectural map of the Cloud landscape
Lenk, A., Klems, M., Nimis, J., et al. (2009) · doi:10.1109/cloud.2009.5071529 · Cited by 463
Buyya, R., Beloglazov, A., & Abawajy, J. (2010) · doi:10.48550/arxiv.1006.0308 · Cited by 457
The design of the force.com multitenant internet application development platform
Weissman, C. D., & Bobrowski, S. (2009) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/1559845.1559942 · Cited by 220
Multi-tenant SaaS applications
Bezemer, C., & Zaidman, A. (2010) · doi:10.1145/1862372.1862393 · Cited by 206
Mietzner, R., Metzger, A., Leymann, F., et al. (2009) · doi:10.1109/pesos.2009.5068815 · Cited by 184
Overall ICT footprint and green communication technologies
Vereecken, W., Heddeghem, W. V., Colle, D., et al. (2010) · International Symposium on Communications, Control and Signal Processing · doi:10.1109/isccsp.2010.5463327 · Cited by 127
Energy-Aware Virtual Machine Dynamic Provision and Scheduling for Cloud Computing
Lin, C., Liu, P., & Wu, J. (2011) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud.2011.94 · Cited by 115
Patterson, D. A. (2008) · Communications of the ACM · doi:10.1145/1327452.1327491 · Cited by 87
The SPOSAD Architectural Style for Multi-tenant Software Applications
Koziolek, H. (2011) · Working IEEE/IFIP Conference on Software Architecture (WICSA) · doi:10.1109/wicsa.2011.50 · Cited by 44
A Rank-based VM Consolidation Method for Power Saving in Datacenters
Takeda, S., & Takemura, T. (2010) · IPSJ Online Transactions · doi:10.2197/ipsjtrans.3.88 · Cited by 36
A preliminary study of the impact of software engineering on GreenIT
Noureddine, A., Bourdon, A., Rouvoy, R., et al. (2012) · doi:10.1109/greens.2012.6224251 · Cited by 21
Energy-aware service execution
Dargie, W., Strunk, A., & Schill, A. (2011) · Conference on Local Computer Networks · doi:10.1109/lcn.2011.6115164 · Cited by 16
Niehörster, O., Keller, A., & Brinkmann, A. (2011) · IEEE International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS) · doi:10.1109/mascots.2011.52 · Cited by 6
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
- peter, 2009, Draft NIST Working Definition of Cloud Computing
- koomey, 2007, Estimating Total Power Consumption By Servers In The US and The World
- samrajesh, 2012, Appsim:An application simulator for software as a service (saas), Proceedings of the International Conference on Computational Techniques and Mobile Computing (ICC TMC'2012), 217
- chong, 2006, Architecture Strategies for Catching the Long Tail
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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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