Cost Efficiency In Server-Less Computing Using Queueing Models With Cloud Services

  • Jitendra Kumar
  • Vikas Shinde
  • SK Bharadwaj
  • DK Mishra
Keywords: Queueing Models, Performance Evaluation, Cloud Services, Total Energy Consumed, Total, Cost, Energy Efficiency

Abstract

This  paper  examines  cost  efficiency  in  server-less  architectures  using  queueing  models  across  various  types  of  cloud  services,  including  Infrastructure  as  a  Service  (IaaS),  Platform  as  a  Service  (PaaS),  and  Function  as  a  Service  (FaaS).  By  modeling  these  environments  as  queueing  systems,  we  analyze  how  different  service  types,  request  arrival  rates,  execution  times,  and  resource  provisioning  strategies  impact  cost  and  performance.  Our  findings  reveal  that  each  cloud  service  type  offers  unique  cost  advantages  depending  on  the  workload  characteristics  and  that  careful  optimization  of  resource  allocation  and  request  management  can  lead  to  significant  cost  savings.  The  study  provides  actionable  insights  for  organizations  looking  to  optimize  their  cloud  service  usage,  offering  a  comparative  analysis  that  guides  the  selection  of  the  most  cost-effective  server-less  solutions  tailored  to  specific  application  needs.  Serverless  computing  has  become  a  popular  approach  for  deploying  applications  due  to  its  scalability and reduced infrastructure management.

 

Author Biographies

Jitendra Kumar

Department of Engineering Mathematics & Computing Madhav Institute of Technology & Science, Gwalior

Vikas Shinde

Department of Engineering Mathematics & Computing Madhav Institute of Technology & Science, Gwalior, Madhya- Pradesh – 474005(INDIA)

SK Bharadwaj

Department of Engineering Mathematics & Computing Madhav Institute of Technology & Science, Gwalior, Madhya- Pradesh – 474005(INDIA)

DK Mishra

Department of Engineering Mathematics & Computing Madhav Institute of Technology & Science, Gwalior, Madhya- Pradesh – 474005(INDIA)

References

[1] A. Anupama, Using queuing theory the Performance Measures of Cloud with Infinite Servers, International Journal of Computer Science & Engineering Technology (IJCSET) , 5( 1) (2014), 18-21 .
[2] O J Boxma, J W Cohen and N Huffels, Approxima ons of the mean wai ng me in an M/G/s queueing system , Opera ons Research , 27 (6) (1979) , 1115-1127 .
[3] J Cao, K Hwang, K Li, Op mal mul -server configura on for profit maximiza on in cloud compu ng, IEEE Transac ons on Parallel and Distributed Systems , 24 (6) (2012), 1087-1096 .
[4] S. Chaisiri, B. S. Lee and D. Niyato, Optimization of Resource Provisioning Cost in Cloud Computing, IEEE on Transactions on Services Computing , 5 (2) (2012), 164-177.
[5] M. Eisa, Enhancing Cloud Computing Scheduling Based on Queuing Models, International Journal of Computer Applications , 85 (2) (2014), 17-23.
[6] Furht, Cloud Computing Fundaments , Handbook of Cloud Computing, Springer New York Dordrecht Heidelberg London, 2010.
[7] Gross and C. Harris, Fundamental of Queueing Theory , John Wiley & Sons, 4 th edition, 2014.
[8] R. Ghose, KS Trivedi, VK Naik and DS Kim, End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach, Conference paper , DOI: 10.1109/PRDC.2010.30, (2010), 125-231.
[9] H Khazaei, J Misic, and V B Misic, Performance analysis of cloud compu ng centers using M/G/m/m+r queueing systems, IEEE Transac ons on Parallel and Distributed Systems, 23 (5) (2012), 936-943 .
[10] H. Khzaei, J. Misic, and V. B. Misic, Performance Analysis of Cloud Computing Centres using M/G/m/m+r Queueing Systems, IEEE Transactions on Parallel and Distributed Systems , 23 (5) (2010), 936- 943 .
[11] J. Kumar and V. Shinde, Performance Evaluation Bulk Arrival and Bulk Service with Multi Server using Queue Model, International Journal of Research in Advent Technology , 6 (11) (2018), 3069-3076 .
[12] G. V. Lakshmi and C. S. Bindhu, A Queuing Model To Improve Quality of Service by Reducing Waiting Time in Cloud, International Journal of Soft Computing and Engineering (IJSCE) , 4 (5) (2014), 1-3.
[13] B N W Ma and J W Mark, Approxima on of the mean queue length of an M/G/c queueing system, Opera ons Research , 43 (1) (1995), 158-165 .
[14] J Mei, K Li, A Ouyang, A profit maximiza on scheme with guaranteed quality of service in cloud compu ng, IEEE Transac ons on Computers , 64 (11) (2015), 3064-3078 .
[15] T. S. D. Praveen, K. Satish, and A.Rahiman, The Queueing Theory in Cloud Computing to Reduce the Waiting Time , International Journal of Computer Science & Engineering Technology ( IJCSET ) , 1 (2011), 110-112 .
[16] J A Resing, Queueing Theory, Eindhoven, The Netherlands: Eindhoven University of Technology, Press, 2002.
[17] S. Suakanto, S. H. Supangkat, Suhardi, and R. Saragih, Performance Measurement of Cloud Computing Services, Interna onal Journal on Cloud Compu ng: Services and Architecture(IJCCSA) , 2 (2) (2012), 9-20.
[18] Y. Takahashi, An Approximation Formula for the Mean Waiting time of an M/G/c Queue, Journal Operational Research Society , 20 (1977), 150-163 .
[19] W Whi , Approxima ons for the GI/G/m queue, Produc on, and Opera ons Management , 2 (2) (1993), 114-161 .
[20] L. Wang, G. V. Laszewski, A. Younge, X. He, M. Kunze, J. Tao, and C. Fu, Cloud computing a perspective study, New Generation Computing, 28 (2010) , 137-146 .
[21] K. Xong and H. Perros, Service Performance and Analysis in Cloud Computing, Proceedings of the 2009 Congress on Services – I, Los Alamitos, CA, USA , (2009), 693-700.
[22] Y N Xia, M C Zhou, X Luo, Stochas c modeling and performance analysis of migra on-enabled and error-prone clouds , IEEE Transac ons on Industrial Informa cs , 11 (2) (2015), 495-504 .
[23] S Zhuravlev, J C Saez, Blagodurov Setal, Survey of energy-cognizant scheduling techniques, IEEE Transac ons on Parallel and Distributed Systems , 24 (7) (2012), 1447-1464 .
Published
2024-09-13
How to Cite
Jitendra Kumar, Vikas Shinde, SK Bharadwaj, & DK Mishra. (2024). Cost Efficiency In Server-Less Computing Using Queueing Models With Cloud Services. Revista Electronica De Veterinaria, 25(1), 1320 - 1329. https://doi.org/10.69980/redvet.v25i1.894
Section
Articles