%0 Conference Paper %1 7277436 %A Wu, Huaming %A Knottenbelt, W. %A Wolter, K. %B Teletraffic Congress (ITC 27), 2015 27th International %D 2015 %K ERP ERWP EWRS Energy_consumption IEEE_802.11_Standard Measurement Mobile_communication Mobile_handsets Servers Time_factors WiFi_interface availability_degree cellular_interface cellular_radio cloud_computing cloud_servers communication_interfaces communication_network_channels data_multiplexing energy-performance_tradeoff_metric energy-response_time_product_metric energy-response_time_tradeoff_analysis energy-response_time_weighted_product_metric energy-response_time_weighted_sum energy_consumption interrupted_strategy itc itc27 mobile_cloud_offloading mobile_computing mobile_devices mobile_terminal multiplexing network_servers transmission_channel wireless_LAN %P 134-142 %R 10.1109/ITC.2015.23 %T Analysis of the Energy-Response Time Tradeoff for Mobile Cloud Offloading Using Combined Metrics %U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277436.pdf?inline=true %X Mobile offloading migrates heavy computation from mobile devices to cloud servers using one or more communication network channels. Communication interfaces vary in speed, energy consumption and degree of availability. We assume two interfaces: WiFi, which is fast with low energy demand but not always present and cellular, which is slightly slower has higher energy consumption but is present at all times. We study two different communication strategies: one that selects the best available interface for each transmitted packet and the other multiplexes data across available communication channels. Since the latter may experience interrupts in the WiFi connection packets can be delayed. We call it interrupted strategy as opposed to the uninterrupted strategy that transmits packets only over currently available networks. Two key concerns of mobile offloading are the energy use of the mobile terminal and the response time experienced by the user of the mobile device. In this context, we investigate three different metrics that express the energy-performance tradeoff, the known Energy-Response time Weighted Sum (EWRS), the Energy-Response time Product (ERP) and the Energy-Response time Weighted Product (ERWP) metric. We apply the metrics to the two different offloading strategies and find that the conclusions drawn from the analysis depend on the considered metric. In particular, while an additive metric is not normalised, which implies that the term using smaller scale is always favoured, the ERWP metric, which is new in this paper, allows to assign importance to both aspects without being misled by different scales. It combines the advantages of an additive metric and a product. The interrupted strategy can save energy especially if the focus in the tradeoff metric lies on the energy aspect. In general one can say that the uninterrupted strategy is faster, while the interrupted strategy uses less energy. A fast connection improves the response time much more than the - ast repair of a failed connection. In conclusion, a short down-time of the transmission channel can mostly be tolerated.

@inproceedings{7277436, abstract = {Mobile offloading migrates heavy computation from mobile devices to cloud servers using one or more communication network channels. Communication interfaces vary in speed, energy consumption and degree of availability. We assume two interfaces: WiFi, which is fast with low energy demand but not always present and cellular, which is slightly slower has higher energy consumption but is present at all times. We study two different communication strategies: one that selects the best available interface for each transmitted packet and the other multiplexes data across available communication channels. Since the latter may experience interrupts in the WiFi connection packets can be delayed. We call it interrupted strategy as opposed to the uninterrupted strategy that transmits packets only over currently available networks. Two key concerns of mobile offloading are the energy use of the mobile terminal and the response time experienced by the user of the mobile device. In this context, we investigate three different metrics that express the energy-performance tradeoff, the known Energy-Response time Weighted Sum (EWRS), the Energy-Response time Product (ERP) and the Energy-Response time Weighted Product (ERWP) metric. We apply the metrics to the two different offloading strategies and find that the conclusions drawn from the analysis depend on the considered metric. In particular, while an additive metric is not normalised, which implies that the term using smaller scale is always favoured, the ERWP metric, which is new in this paper, allows to assign importance to both aspects without being misled by different scales. It combines the advantages of an additive metric and a product. The interrupted strategy can save energy especially if the focus in the tradeoff metric lies on the energy aspect. In general one can say that the uninterrupted strategy is faster, while the interrupted strategy uses less energy. A fast connection improves the response time much more than the - ast repair of a failed connection. In conclusion, a short down-time of the transmission channel can mostly be tolerated.}, added-at = {2016-07-11T18:20:14.000+0200}, author = {Wu, Huaming and Knottenbelt, W. and Wolter, K.}, biburl = {https://www.bibsonomy.org/bibtex/2e1084143d4c16781328ee253408d9f34/itc}, booktitle = {Teletraffic Congress (ITC 27), 2015 27th International}, doi = {10.1109/ITC.2015.23}, interhash = {53a40ff1ddaa3752facc8d4ae066c6a5}, intrahash = {e1084143d4c16781328ee253408d9f34}, keywords = {ERP ERWP EWRS Energy_consumption IEEE_802.11_Standard Measurement Mobile_communication Mobile_handsets Servers Time_factors WiFi_interface availability_degree cellular_interface cellular_radio cloud_computing cloud_servers communication_interfaces communication_network_channels data_multiplexing energy-performance_tradeoff_metric energy-response_time_product_metric energy-response_time_tradeoff_analysis energy-response_time_weighted_product_metric energy-response_time_weighted_sum energy_consumption interrupted_strategy itc itc27 mobile_cloud_offloading mobile_computing mobile_devices mobile_terminal multiplexing network_servers transmission_channel wireless_LAN}, month = {Sept}, pages = {134-142}, timestamp = {2020-04-30T18:18:14.000+0200}, title = {Analysis of the Energy-Response Time Tradeoff for Mobile Cloud Offloading Using Combined Metrics}, url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277436.pdf?inline=true}, year = 2015 }