Real-time QoS Monitoring for Big Data Analytics in Mobile Environment: an Overview <s> QUALITY OF SERVICE AS A VIRTUALIZATION OF THE MOBILE BIG DATA <s> Future mobile multimedia systems will have wearable computing devices as their front ends, supported by database servers, I/O servers, and compute servers over a backbone network. Multimedia applications on such systems are demanding in terms of network and compute resources, and have stringent Quality of Service (QoS) requirements. Providing QoS has two aspects. On the one hand, the QoS requirements for the relevant resources have to be defined and suitable policies for meeting these requirements have to be devised and analyzed. On the other hand, the architecture of the system components and the mechanisms enabling the implementation of these policies have to be designed. In this paper we propose an architecture called HARMONY for providing QoS in mobile computing environments. The HARMONY architecture is a layered architecture that provides mechanisms for the management of network and compute resources, in particular for call admission control taking into account the simultaneous requests for both types of resources by the mobile units. It also provides a mechanism for mobility management of mobile units as they move from one cell to another in a mobile computing environment. The network resources are reserved based on the Entropy model. In order to provide compute guarantees, we provide a novel scheme for off-loading tasks from the mobile units to the compute servers in the backbone network. We propose a load-balancing scheme to minimize the call blocking probability due to lack of compute resources, which redistributes the total load in the system across all compute servers so that these are equally loaded. Through a quantitative analysis of the HARMONY architecture we establish its effectiveness in providing quality of service in mobile computing environments. <s> BIB001 </s> Real-time QoS Monitoring for Big Data Analytics in Mobile Environment: an Overview <s> QUALITY OF SERVICE AS A VIRTUALIZATION OF THE MOBILE BIG DATA <s> Network traffic monitoring and analysis is of theoretical and practical significance for optimizing network resource and improving user experience. However, existing solutions, which usually rely on a high-performance server with large storage capacity, are not scalable for detailed analysis of a large volume of traffic data. In this article, we present a traffic monitoring and analysis system for large-scale networks based on Hadoop, an open-source distributed computing platform for big data processing on commodity hardware. This system has been deployed in the core network of a large cellular network and extensively evaluated. The results demonstrate that the system can efficiently processes 4.2 Tbytes of traffic data from 123 Gb/s links with high performance and low cost every day. <s> BIB002
There has been several researches that try to explain the taxonomies of the big data analytics (cloud computing) in general. The mobile environment has been linked to the upcoming virtualization technologies, in relation to the big data access and securities. As more and more scholars disintegrate to develop a well renowned knowledge that will deal with the dig data analytics in the mobile environment the acknowledgement of the lack of specific knowledge on specific techniques, platforms. Consequently, the development of the mobile technologies to accommodate the cloud computing has also devolved and provide particular quality of service in relation to the big data infrastructures, applications and the cloud services BIB001 . The need for the monitoring of the mobile cloud services is an important aspect of both the consumer and the providers. The attributed requirements for the virtualization and monitoring the mobile cloud computing services aim at working on two most crucial elements. On the technical and technological development the critical task that is of paramount significance involves the monitoring, control and management of the software and the hardware infrastructures. The other key factor includes the one that focus on the key performance indicators for both the device platforms and the internal applications. Monitoring is a crucial element in the virtualization of the mobile environment BIB002 . Mainly, control is viewed as an instrumental aspect quality of service offered to deal with the big data analytics.