Abstract
The technology is bringing new changes rapidly in terms of hardware and software which leads to the increase in the computing cost. One of the prevalent challenges involved in the research endeavors of researchers is to diminish the cost involved in possession of hardware and network technologies. Open source technologies have tried to cut down costs involve at software level, but learning on the software technologies is still a challenge. Commodity hardware utilization is still an option to decrease the hardware level cost. This paper presents the study of the performance of a commodity hardware server in heterogeneous multi-computing environment. Using the commodity hardware of our university and on a client–server-based model, we have developed a system of remote terminal application on a commodity server in homogeneous and heterogeneous multi-computing environments. The nodes used in the current experimental environment are independent of system architecture.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bob, R.: 12 ways to reduce your IT costs. IDG Communications (7 Mar 2017). Available at https://www.cio.com/article/3176836/best-practices/12-ways-to-reduce-your-it-costs.html on 11th Oct 2018 15:01 PM
Dongre, D., Sharma, G., Kurhekar, M.P., Keskar, R.B., Radke, M.A.: Scalable cloud deployment on commodity hardware using OpenStack. In: Advanced Computing, Networking and Informatics, vol. 2. Smart Innovation, Systems and Technologies 28. Springer International Publishing Switzerland (2014) (Bob)
Mutual, M.W., Livny, M.: The available capacity of a privately owned workstation environment. J. Perform. Eval. Arch. 12(4) (1991)
Meena, J., Kumar, M., Vardhan, M.: Efficient utilization of commodity computers in academic institutes: a cloud computing approach. World Acad. Sci. Eng. Technol. Int. J. Comput. Inf. Eng. 9(2) (2015)
Nogueras, R., Cotta, C.: On the use of self-island-based evolutionary computation methods on complex environments. Comput. Sci. Inf. Syst. 15(3), 733–750 (2018). https://doi.org/10.2298/CSIS180115032N
Sharma, S., Singh, S., Chaudhary, V.: Implementation of enhanced reliable distributed energy efficient protocol for WSN using MATLAB. Int. J. Electron. Commun. Technol. 4(2) (2013)
Sharma, S., Manuja, M., Kishore, K.: Node-level self-adaptive network path restructuring technique for internet of things (IoT). In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds.) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol. 989. Springer, Singapore (2020)
Yeo, C.S., Buyya, R., Pourreza, H., Eskicioglu, R., Graham, P., Sommers, F.: Cluster computing: high-performance, high-availability, and high-throughput processing on a network of computers. In: Zomaya, A.Y. (ed.) Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies, Chap. 16, pp. 521–551, Springer, Berlin (2006)
Baker, M., Buyya, R.: Cluster computing: the commodity supercomputer. Softw. Pract. Experience 29(6), 551–576 (1999)
Mittal, P.: Building your own cloud with commodity hardware and “Ganeti”. PyCon India (2013). Available at https://in.pycon.org/funnel/2013/63-building-your-own-cloud-with-commodity-hardware-and-ganeti/ on 23rd Oct 2018 14:49 PM
Dorband John, E., Raytheon, J.P., Ranawake, U.: Commodity computing clusters at Goddard space flight center. Online J. Space Commun. (2010)
Vanhoef, M., Piessens, F.: Advanced Wi-Fi attacks using commodity hardware. In: ACSAC’14, New Orleans, LA, USA, 08–12 Dec 2014
Chen, C., Gurganus, J.: Statistical anomaly detection on metadata streams via commodity software to protect company infrastructure: a case study. In: IEEE 37th International Conference on Distributed Computing Systems Workshops, Atlanta, GA, USA (2017)
Swanson, G.: Commodity hardware-modernize your infrastructure with Avi networks. White Paper, ANI Networks, India (18 Dec 2015). Available at https://blog.avinetworks.com/modernizing-your-infrastructure-with-open-source-commodity-hardware on 28th Oct 2018 10:56 AM
Braun, L., Didebulidze, A., Kammenhuber, N., Carle, G.: Comparing and improving current packet capturing solutions based on commodity hardware. In: IMC’10, Melbourne, Australia, ACM, 1–3 Nov 2010
Egi, N., Greenhalgh, A., Handley, M.: Towards High Performance Virtual Routers on Commodity Hardware. ACM CoNEXT, Madrid, Spain (2008)
Bonelli, N., Giordano, S., Procissi, G.: Enif-Lang: a specialized language for programming network functions on commodity hardware. J. Sens. Actuator Netw. 7, 34 (2018)
Koning, K., Chen, X., Bos, H., Giuffrida, C., Athanasopoulos, E.: No need to hide: protecting safe regions on commodity hardware. In: Proceedings of the 12th European Conference on Computer Systems, EuroSys, pp. 437–452. Association for Computing Machinery (2017)
Stone, J.E., Kohlmeyer, A., Vandivort, K.L., Schulten, K.: Immersive molecular visualization and interactive modeling with commodity hardware. In: Bebis, G., et al. (eds.) Advances in Visual Computing, vol. 6454. Springer, Berlin, Heidelberg (2010)
Nikita, G., Sharma, L.S.: Performance evaluation and modelling of the Linux firewall under stress test. In: Singh, P.K., Kar, A.K., Singh, Y., Kolekar, M.H., Tanwar, S., et al. (eds.) Proceedings of ICRIC 2019, Recent Innovations in Computing, 2020. Lecture Notes in Electrical Engineering, vol. 597, pp. 3–920. Springer, Cham, Switzerland (2019)
Sharma, S., Kishore, K.: Data dissemination algorithm using cloud services: a proposed integrated architecture using IoT. In: 2nd International Conference on Innovative Research in Engineering Science and Technology (IREST-2017), Eternal University, Baru Sahib, Sirmour (H.P.), India, 7–8 Apr 2017
Baghel, A., Srivastava, A., Tyagi, A., Goel, S., Nagrath, P.: Analysis of Ex-YOLO algorithm with other real-time algorithms for emergency vehicle detection. In: Singh, P., Pawłowski, W., Tanwar, S., Kumar, N., Rodrigues, J., Obaidat, M. (eds.) Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019). Lecture Notes in Networks and Systems, vol. 121. Springer, Singapore (2020)
Acknowledgements
This work is supported by Alakh Prakash Goyal (APG) Shimla University, Shimla (H.P.), India. One of our authors would like to thank Dr. Ramesh Chaudhary, Vice Chancellor, Alakh Prakash Goyal (APG) Shimla University to give us this problem which has ultimately twirl to a research challenge for our team. Our team is also grateful to Dr. Purnima Bali, Shoolini University, Solan (H.P.), India, for proofreading this manuscript.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sharma, S., Manuja, M., Puri, D. (2021). Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-computing Environments. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Chhabra, J.K., Sen, A. (eds) Recent Innovations in Computing. ICRIC 2020. Lecture Notes in Electrical Engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_1
Download citation
DOI: https://doi.org/10.1007/978-981-15-8297-4_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8296-7
Online ISBN: 978-981-15-8297-4
eBook Packages: Computer ScienceComputer Science (R0)