Improving Energy Efficiency and Minimizing Service-Level Agreement Violation in Mobile Cloud Computing Environment

  • Pandya Nitinkumar RajnikantEmail author
  • Nimisha Patel
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 52)


In mobile cloud computing, high energy consumption and service-level agreements (SLAs) violation are the challenging issues considering that the demand for computational power is growing rapidly, which requiring large-scale cloud data centers. The mobile cloud computing enables customers to outsource the large and complex tasks to the cloud data centers for the execution and result generations. To provide resources such as CPU, RAM, memory, and bandwidth cloud data centers host incoming tasks, due to the large data centers that provide the basic resources for the host operations, and it consumes a huge amount of energy, which results in very high operational costs. In order to improve the energy efficiency and SLA violation of a cloud data center, energy-aware methods for overloaded host detection and VM selection from an overloaded host are needed. Cloud computing research community felt the need to provide or improve the energy-efficient solutions that reduce the impact of the issues. In this paper, we have shown many existing algorithm for energy efficiency and SLA violation reduction.


Mobile cloud computing Data center Energy efficiency Green computing Service-level agreements Virtual machine Virtualization Consolidation 


  1. 1.
    Rahul Y et al (2018) Adaptive energy-aware algorithms for minimizing energy consumption and SLA violation in cloud computing. IEEE Access 6:52923–55936Google Scholar
  2. 2.
    Saad M et al (2018) SLA-aware energy efficient resource management for cloud environments. IEEE Access 6:15004–15020CrossRefGoogle Scholar
  3. 3.
    Mohammad-Hossein M, Kara N, Barachi M (2018) An energy efficient and SLA compliant approach for resource allocation and consolidation in cloud computing environments. Sustain Comput: Inf Syst 17:9–24Google Scholar
  4. 4.
    Sampaio Altino M, Barbosa J (2016) Energy-efficient and SLA-based resource management in cloud data centers. Adv Comput 100:03–159Google Scholar
  5. 5.
    Pedro C et al (2016) A joint CPU-RAM energy efficient and SLA-compliant approach for cloud data centers. Comput Netw 94:1–13CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Sankalchand Patel UniversityVisnagarIndia
  2. 2.CE DepartmentSankalchand Patel College of EngineeringVisnagarIndia

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