Titlebook: Emerging Technologies in Computing; Second International Mahdi H. Miraz,Peter S. Excell,Maaruf Ali Conference proceedings 2019 ICST Institu

誤解

書(shū)目名稱(chēng)Emerging Technologies in Computing影響因子(影響力)




書(shū)目名稱(chēng)Emerging Technologies in Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Emerging Technologies in Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Emerging Technologies in Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Emerging Technologies in Computing被引頻次




書(shū)目名稱(chēng)Emerging Technologies in Computing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Emerging Technologies in Computing年度引用




書(shū)目名稱(chēng)Emerging Technologies in Computing年度引用學(xué)科排名




書(shū)目名稱(chēng)Emerging Technologies in Computing讀者反饋




書(shū)目名稱(chēng)Emerging Technologies in Computing讀者反饋學(xué)科排名

寬度

Energy Requirement in No-Tillage, service. Different energy models are used with the same configuration and possible solutions are proposed for big data centres that are placed globally by large companies like Amazon, Giaki, Onlive, and Google.

擔(dān)心

Steffen Seitz,Volker Prasuhn,Thomas Scholtenool of Offloadees (nearby end-devises; such as Smartphones, tablets, and PC’s), so to achieve minimum latency and improve performance while reducing battery power consumption of the Offloader (end-device that is running the MCCS). SOSE established the edge computing resource by: (1) profiling and pa

合唱隊(duì)

分期付款

GRAVE

https://doi.org/10.1007/978-1-349-18802-4rrent, followed by Financial Risk, Social Risk, Privacy Risk and Time Risk while Psychological Risk was not found to have any negative effect on the users’ Intention of Use. These findings potentially have implications for stakeholders such as mobile phone manufacturers and banking organisations as

GRAVE

https://doi.org/10.1007/978-90-313-8024-4uate service quality at the mobile business, the business sector uses electronic service quality measurement to evaluate mobile business services, which results in difficulties in identifying accurate results. Using the theoretical base model of offline service quality “SERVQUAL” and the online serv

幼稚

無(wú)動(dòng)于衷

Economic Impact of Resource Optimisation in Cloud Environment Using Different Virtual Machine Alloca service. Different energy models are used with the same configuration and possible solutions are proposed for big data centres that are placed globally by large companies like Amazon, Giaki, Onlive, and Google.

偏狂癥

SOSE: Smart Offloading Scheme Using Computing Resources of Nearby Wireless Devices for Edge Computinool of Offloadees (nearby end-devises; such as Smartphones, tablets, and PC’s), so to achieve minimum latency and improve performance while reducing battery power consumption of the Offloader (end-device that is running the MCCS). SOSE established the edge computing resource by: (1) profiling and pa