You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Real-time QoS Monitoring for Big Data Analytics in Mobile Environment: an Overview 
Chapter Title:  THE QUALITY OF SERVICE PROVISIONING OF THE MOBILE LARGE SCALE AD HOC 
1. Abstract of Cited Paper (BIB001):  Mobile Cloud Computing (MCC) is broadening the ubiquitous market for mobile devices. Because of the hardware limitation of mobile devices, the heavy computing tasks should be processed by service images (SIs) on the cloud. Due to the scalability and mobility of users and services, dynamic resource demands and time-varying network condition, SIs must be re-located to adapt the new circumstances. In this paper, we formulate the SI placement as an optimization problem which minimizes the communication cost subject to resource demand constraints. We then propose a real-time SI placement scheme which includes two sequent stages of clustering/filtering and condensed placement to solve the formulated problem. The former omits the infeasible slots prior to placement in order to improve computational complexity. The latter focuses on the SI placement through a novel condensed solution. The numerical results show that our solution converges to the global optimum with a negligible gap while performing much faster execution time compared with the exhaustive search method. This improvement leverages the real-time services especially in MCC environment.

Literature Review:
The QoS provisioning for the mobile network (in these cases relating to the wireless ad hoc networks) has been very vital in settling on the mobile network-centric competition. The new concept of the quality of service Provisioning has been devolved and research on the same has been done. However, the quality of service for the mobile ad hocs is an imperative aspect in relation to the reliance of and transmission of data from remote locations BIB001 . The most appropriate architecture of the quality of service for the monitoring of the mobile big data and the interrelate networks requires the application of several source nodes and the actions of the flows. In order for the quality of service to be fully integrative and adjustable to the real time flows there are four main components that play in hand. The scalable quality of service, congestion control, the adaptive bandwidth management and the data call admission control The overview of the mobile computing was initially coined in after the cloud computing concept. In the current information technology scenery the mobile cloud computing has attracted a lot of attention from many industry players thus making an area of interest (Pandey, Voorsluys, Niu, Khandoker & Buyya, 2012). In order to fully understand the workability of the MMC and its relationship with the big data analytics is very essential to have clear overview of the architecture up on which the Mobile cloud computing relies on. The full structure operates up on several layers and components. At the users end the interaction the leads to the determination of the requirements of the quality of service is provided by the Software as the service this includes the Microsoft live mesh, the android play store and the apple cloud. Subsequently, this develops to the platform as a service this mainly involves the actual engines that operates the wares and the software's, in this case includes the Google app engines and the Microsoft azures. The other layer that help in the determination and the analysis of the quality of service for the real time Mobile computing environment is the Infrastructures for the cases of the mobile environment this includes the EC2 and B3. The final layer is the data centers that help in the storage and the management of the mobile big data BIB002 ).