High Quality Mobile Cloud Computing Thesis

Mobile cloud computing is a paradigm that provides device users to use seamless mobile connectivity and services. Computing services must be on-demand, scalable, seamless, and reliable across the multiple types of cellular networks (Femtocell, Bluetooth, Cellular Networks, Wifi).This article is useful for students to do paper writing in the field of Mobile Cloud Computing Thesis. 

Outline of Mobile Cloud Computing 

In mobile cloud computing, heterogeneous resources are involved such as Mobile Ad Hoc Users, Public Cloud, and Private Cloud environments. Further, organizing the different types of services in the heterogeneous service providers is implemented for resource-constrained and other types of devices.

The architecture of Mobile Cloud Computing

Integration of mobile computing, cloud computing, and network communications are called mobile cloud computing in which cloud computing is enabled to perform the operations such as virtualization, parallel programming, and mass distributed storage, whereas mobile computing is used to support the portable devices to access the web and mobile network communication is used to provide the cellular communications (e.g. 4G, 5G, 3G, WiFi, etc.). 

In mobile cloud computing, the term “cloud” refers to a variety of computing resources. Below are a few classifications of cloud types.

  • Infrastructure (Cloud) 
    • Cloud computing and storage are accessed only via WiFi or cellular networks on mobile devices.
    • SaaS, PaaS, and IaaS are public cloud services that comprise the infrastructure.
  • Communication Paradigm (Edges / Gateways)
    • By deploying cloudlets between a mobile device and a public cloud, network latency is reduced.
    • “Cloudlets” are trusted, resource-rich form-factor computers that can be accessed by nearby mobile devices and are connected to the Internet
    •  End Users (Mobile devices, laptops, gadgets)

If WLAN or public cloud services are unavailable, a mobile device cloud can help reduce data transmission overhead.

As the name implies, a MANET refers to a network of mobile devices connected by short-range wireless networks, like WiFi-direct or Bluetooth, using dynamic topographies without support from network infrastructure.

Latest Techniques used in implementing Mobile cloud computing Thesis

Important Elements for Mobile Cloud Computing 

The following elements are part of the infrastructure of applications based on mobile cloud computing. 

Taxonomy of Mobile Cloud Computing 

  • Technologies Involved
    • Peer- to- peer
    • Mobile computing
    • IoT
    • Distributed computing
    • Sensor networks
    • Content distributions
    • Data analytics
    • Cloudlets
    • Fog computing
    • Edge computing
  • Dimensions 
    • Governance
      • Auditing
      • Compliance
      • Monitoring
    • Performance
      • Networking
      • Processing
      • Storage
    • Security 
      • Availability
      • Confidentiality
      • Integrity

In the above, we discussed the major elements of mobile cloud computing. These are used to perform the necessary operations of mobile cloud computing. Then, we discussed the characteristics of mobile cloud computing in which we highlighted the most crucial features are highlighted.

What are the characteristics of mobile cloud computing?

  • Scalability
    • Provide the ability to easily add, expand, and change services without being restricted by resource limitations.
  • Ease of integration
    • Service providers can integrate services from altered vendors easily.
  • Dynamic provisioning 
    • Resource provisioning on-demand in a dynamic manner.
  • Multi-tenancy
    • Support diverse applications and large numbers of users with shared resources and costs.

             According to the applications, services, and products provisioning from the mobile users, challenges will be different. These challenging issues affect the performance of the quality of service. Achieving the higher QoS must be demanded to show the environment has attained the greater result. From our expert team, these issues are identified and updated concurrently. Further, it is given in the following,

Emerging Issues in Mobile Cloud Computing 

  • Privacy and security 
    • Mobile security
    • Victim’s privacy
  • Data management  
    • Data portability
    • Data Integrity
  • Connection Reliability 
    • Temporal network
    • Permanent network
  • Performance
    • Real-time communication
    • Network congestion

Currently, today’s mobile devices do not have these capabilities. It requires a CPU that can execute large numbers of operations per second, RAM (Random Access Memory) to store data and load code, and a battery that can last a long time. Even with impressive MCC findings, further efforts will be needed to enable MCC in real-world scenarios, especially as lightweight architectures, live VM migration, and efficient resource scheduling (allocating resources to mobile tasks that require a lot of capacity). In the following, we have the solutions for solving the above-mentioned issues.

Solutions for Mobile Cloud Computing

  • Optimally push applications to the cloud and effectively divide the application distribution.
  • Using regional data centers, increase bandwidth for wireless connections and enhance mobile content.
  • Apply high-performance analytics to cloud applications on the ‘edge’ of the network to accelerate data delivery.
  • The idea is to process Energy-Intensive Computing and Data-Intensive Computing (DIC), like virus scanning in mobile devices, on cloud-duplicated mobile devices using virtualization and image technologies.

Mobile cloud computing applications are widely used for real-life since this computing paradigm is integrated with three different technologies mentioned earlier. The applications of mobile cloud computing thesis are listed below.

Major Applications of Mobile Cloud Computing

  • Data-intensive applications, such as enterprise applications
  • Communication-intensive programs, like online video streaming applications
  • Computing-intensive software, like natural language processing and speech recognition software

A wide range of techniques is used for mobile cloud computing for different processes and operations. The most important processes of mobile cloud computing are Computation and Storage operations. For each type of operation, several particular techniques are proposed and very few techniques for those operations are given below.

Mobile Cloud Computing Techniques 

  • Storage augmentation 
    • Data interoperability
    • Mobile storage augmentation techniques
    • Data protection
  • Computation augmentation  
    • Supporting techniques
    • Computation augmentation technique
    • Decision-making techniques
  • Service-oriented task delegation 
    • OSGi
    • Remote procedure call
  • Opportunistic mobile collaboration 
    • Mobile device cloud
  • Code offloading 
    • Replication based offloading
    • Mobile agent-based offloading
    • Partitioned offloading
    • VM migration
  • Parallel execution 
    • Map-reduce
    • GPU computing
    • Open CL  

Latest Trends in Mobile Cloud Computing Thesis

  • Vehicle-to-Vehicle Cloud Communication
  • Wearables that is cloud-connected
  • Internet of Things (IoT) linked to the cloud

We aforementioned the list of latest trends in mobile cloud computing, we highlighted very few in the above, we can also know the various trends in current and also for the future directions. Since we updated all the special issues, conference topics, and webinars conducted in the world’s leading journals.

To conclude, in the above we talked about mobile computing ideas, techniques, and fundamental information. We hope that this information will be useful for you to get some knowledge about how to write thesis writing.

Outline of Thesis Writing (MS / PhD) 

Despite some common information found in all theses, we should determine early in the graduate program which type of thesis you are writing. A thesis can be classified as qualitative (including creative) or quantitative. This document is organized into two sections describing each due to the differences in structure and formatting. The majority of graduate work falls into one of these categories, though some may not.

Types of Thesis Writing 

Qualitative (Theory-based) Thesis   

  • Graduate students working on these types of theses may be found in departments encompassing the specific background and knowledge in the field.
  • The purpose of this type of thesis is to enable students to describe, explore, or be creative information.

Quantitative (Research-based) Thesis

  • Data, information, or pieces of information are typically collected and recorded numerically through the use of scientific instruments. And the contributions of new research are highlighted in the presented thesis.

Based on the types of two types of thesis writing, we have given below a unique set of topics for your mobile cloud computing thesis writing. Surely, this will be useful for your academic course and also for any Mobile cloud computing thesis. If you feel that these are not sufficient for your career or up to the interest, we will send some other ideas related to your selected field.

Mobile Cloud Computing 

  • Easily discover and manage resources based on their location
  • Using a new graph partitioning heuristic to find the best cut in a graph
  • Identify the new challenges and open issues, solutions, and approaches in MCC
  • Identify the major tasks of MCC such as task Allocation, Scheduling, Resource Allocation, and Load Balancing.

Mobile Cloud Computing Thesis Research Guidance

Future Research Directions in MCC 

A few future mobile computing applications are discussed in this article.

  • Better service provisioning (QoS, and SLA) 
    • Further research should be conducted to find a way to provide mobile services with convenient, friendly, and interactive services.
    • In addition, due to inherent differences in mobile device and PC platform features, mobile devices cannot directly transfer the PC platform’s services.
    • Constraints such as Latency, Service Reliability, Service Availability, Acceptance rate, Service warranty Date and Time, Data Delivery Ratio, Storage Capacity are analyzed for each service request and meet these constraints.
  • Fast Data Delivery 
    • The following methods can be used to solve such problems: middle-ware (to serve as a platform for all mobile cloud computing systems) and special application (services).
    • As a result of resource restrictions, mobile devices face challenges in accessing the cloud, maintaining consistency of access, and transferring data.
  • Task Management & Resource Allocation 
    • Despite this, we do not have a good strategy or algorithm in place to divide tasks based on which ones ought to be done by the cloud and which ones by devices.
    • Researchers have divided mobile app tasks into sub-tasks and delivered some of those to be run on the cloud, which could be an excellent solution because mobile devices are usually resource-constrained.

If you have got any doubts about your mobile cloud computing thesis, then be present quick to dial us. To be honest, we are always ready to take all your queries all the time. Connect with us to you have a joyful research journey. Similarly, we have a great team with new projects collections and they are all excellent to make new projects.


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