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Handoff Strategy for Improving Energy Efficiency and Cloud Service Availability for Mobile Devices

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Abstract

The increase in capabilities of mobile devices to perform computation tasks has led to increase in energy consumption. While offloading the computation tasks helps in reducing the energy consumption, service availability is a cause of major concern. Thus, the main objective of this work is to reduce the energy consumption of mobile device, while maximising the service availability for users. The multi-criteria decision making (MCDM) TOPSIS method prioritises among the service providing resources such as Cloud, Cloudlet and peer mobile devices. The superior one is chosen for offloading. While availing service from a resource, the proposed fuzzy vertical handoff algorithm triggers handoff from a resource to another, when the energy consumption of the device increases or the connection time with the resource decreases. In addition, parallel execution of tasks is performed to conserve energy of the mobile device. The results of experimental setup with opennebula Cloud platform, Cloudlets and Android mobile devices on various network environments, suggest that handoff from one resource to another is by far more beneficial in terms of energy consumption and service availability for mobile users.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Anuradha Ravi & Sateesh K. Peddoju

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  1. Anuradha Ravi
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Correspondence to Anuradha Ravi.

Appendix

Appendix

This section describes how the weights for various parameters have been chosen in the MCDM TOPSIS method. We perform a pairwise comparison of the four parameters, energy consumption for processing (EP), energy consumption for communication (EC), Waiting Time (WT) and connection time (CT). The pairwise comparison values vary for various battery levels as mentioned in section in the MCDM methodology. Here, we describe the value selection for the battery level ranging from 5 to 40.

Solving the fractions, we get:

Following the eigen matrix multiplication, we get:

$$\begin{aligned} M=M1*M2 \end{aligned}$$
(25)

M = \(\left\{ 46.6 \quad 28.4 \quad 10.1 \quad 10.1\right\} \)

Adding the above obtained column values we get, M = 95.2.

Now, we divide the column value with the sum of the column values to obtain:

M = \(\left\{ 0.48 \quad 0.29 \quad 0.106 \quad 0.106\right\} \)

The value of M is normalized to obtain the values in Table 2. Such pairwise comparison is performed for different battery level left in the mobile device and the values obtained as discussed.

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Ravi, A., Peddoju, S.K. Handoff Strategy for Improving Energy Efficiency and Cloud Service Availability for Mobile Devices. Wireless Pers Commun 81, 101–132 (2015). https://doi.org/10.1007/s11277-014-2119-y

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