Data analytics in wireless systems and IoT issues and challenges

Abstract

SummaryThe emergence of data engineering along with the support of Online Social Networks is growing by millions every day due to the introduction of wireless systems and Internet of Things. The rapid growth of usage of smart devices helps to create new generation knowledge sharing platforms. Data Analytics has a major role to play in the growth and success of wireless and IoT applications. The growth of data has become exponential and is difficult to analyze. Many researchers depend on the data available on Wireless Systems and IoT for developing new generation services and applications. With the opportunity of information and communication technologies like heterogeneous networking, cloud computing, web services, crowd sensing and data mining, ubiquitous and asynchronous information sharing is feasible. But this also brings out a lot of provocations with respect to conflicting standards, data portability, data aggregation, data distribution, differential context and communication overhead. The smart information and communication technology has changed many features of human lifestyle: personal and work places.

An efficient framework for processing big data in internet of things enabled cloud environments

“…These VMs are planned to different client requests for the execution of data tasks. [10][11][12][13] The virtual machine determination is a basic methodology for upgrading power capability and resource use in cloud establishments. A not many examination works watched out for the meaning of choosing VMs reasonably.…”

“…A not many examination works watched out for the meaning of choosing VMs reasonably. [11][12][13] In a distributed computing climate, the responsibility vacillates powerfully delivering bothersome circumstances like burden unevenness, lower usage of assets. In such cases, powerful virtual machine choice for assigning undertakings is an expected arrangement.…”

“…The virtual resources in the cloud structure are virtual machines (VMs). These VMs are planned to different client requests for the execution of data tasks 10–13 . The virtual machine determination is a basic methodology for upgrading power capability and resource use in cloud establishments.…”

“…The virtual machine determination is a basic methodology for upgrading power capability and resource use in cloud establishments. A not many examination works watched out for the meaning of choosing VMs reasonably 11–13 . In a distributed computing climate, the responsibility vacillates powerfully delivering bothersome circumstances like burden unevenness, lower usage of assets.…”