Master Thesis Topics

A comparative analysis writing for our master’s thesis consists of comparing and differentiating more than one aspect, concept, technique, or theory within the research. Get the novel thesis topics from our team of PhD professionals where we constantly update latest trends so that we can serve you better.  We are big team with more than 100+ subject experts where original topics will be shared on comparative analysis thesis writing.

The following are the procedural flows that we consider to write an efficient comparative analysis:

  1. Describe Research Query:
  • Our aim is to explicitly demonstrate the research query or goal that our comparative analysis intends to specify. What are we comparing and why is it important to the thesis?
  1. Choose the Subjects of Comparison:
  • Find out the concepts, theories, methods, or subjects we will compare. It is essential to make sure they are related to our research query.
  1. Collect Related Data and Information:
  • Our work is to gather data, proofs, or contents relevant to every concept of differentiation. It incorporates literature survey, data analysis, or empirical investigation.
  1. Organize the Analysis:
  • Determine the comparative analysis format or pattern. We consider one of the following general methods:
    • Block Technique: State each concept in different blocks and consider all related factors in each block.
    • Point-by-Point: In this, contrast concepts point by point and address each factor separately.
    • Integrated Techniques: Integrate point-by-point and block techniques, in accordance with the format that appropriately fits the study.
  1. Detect Conditions for Comparison:
  • Decide the directions or angles on which we intend to contrast the concepts. Note that these constraints must fit with our research query.
  1. Offer Context:
  • Describe every concept and offer background. Then state its importance to our research and concisely define their major aspects.
  1. Compare and Differentiate:
  • On the basis of detected standards, we initiate the analysis process by comparing and differentiating the concepts. To justify our comparisons, proofs, instances and data are offered.
  1. Utilize Explicit Transitions:
  • To direct readers across our analysis, it is better to utilize transition words and phrases. Consideration of words such as “on the other hand”, “in contrast”, “similarly” and “however” can assist readers to understand our comparisons.
  1. Discuss Implications:
  • Examine the significance of our comparisons. What do the variations and resemblances exhibit about the research query? How do they dedicate themselves to the thesis?
  1. Emphasize Major Discoveries:
  • We describe the important discoveries of the comparative analysis and point out the major variations, structures, or resemblances.
  1. Offer Insightful Understanding:
  • Provide our understanding and perceptions into the comparative analysis. What do our discoveries indicate about the research query, and what is the wider significance?
  1. Draw Conclusions:
  • By explaining the major aspects and end statements, we conclude the comparative analysis. Here, it consists of re-demonstration of the importance of research query and dedication of our analysis.
  1. Mention Sources:
  • Our work includes the appropriate citation of all materials and references employed in the analysis process. It is essential to confirm that we adhere to the specified citation format offered by our academics or universities.
  1. Revise and Proofread:
  • It is beneficial to check and edit our comparative analysis for clearness, consistency, and appropriateness. Verify for spelling and grammatical mistakes.
  1. Look for Review:
  • To collect reviews, and enhance the writing standard, we discuss our analysis with mentors, teammates, or experts.
  1. Appendices:
  • Our thesis incorporates appendices if required with supplementary data, tables, or charts that assist the comparative analysis.

What are the common challenges faced during MS thesis research?

Carrying out an MS thesis is typically considered as a beneficial approach as well as a complicated effort. Here, we list out general difficulties that students experience while dealing with research procedure:

  1. Selecting a Research Topic: It is challenging to choose a topic that is appropriate as well as research-effective. It is necessary to fit with your passion, accessible sources, and the scope of institutions.
  2. Describing Research Goal: Students face difficulties when describing an explicit and certain research goal and queries. These goals and queries must efficiently direct your research.
  3. Literature Survey: Particularly, carrying out an extensive literature survey takes more time. Staying updated with the current research related to your domain is also a vast process.
  4. Data Gathering: Collecting data from reviews, experiments, or some other techniques needs more manual process. There are also chances to increase in problems like availability of data, data standard, and secrecy of data.
  5. Data Analysis: While working with complicated data or statistical techniques, sometimes it is difficult to examine data clearly and also tough to describe significant end statements.
  6. Time Handling: Managing your thesis study with other activities related to program, coursework and some other involvements needs appropriate time handling. Therefore, keeping on the flow with your research duration can be a difficult one.
  7. Writer’s Block: Sometimes, thesis writing causes writer’s block. It is tricky to discover the correct words to convey your thoughts and plans and also difficult to keep a coherent writing manner.
  8. Research Morals: It is complicated to confirm that your research follows moral instructions, specifically when dealing in vulnerable fields.
  9. Research Conditions: Various factors will obstruct your research development such as less availability of research sources, tools, equipment, or funding.
  10. Technical Difficulties: Your research and data analysis processes may slow down due to some technical problems like improper functioning of hardware or software.
  11. Data Interpretation: When discoveries are undetermined or unanticipated, it is tough to understand research outcomes and provide appropriate end statements.
  12. Mentor Interaction: It is important to keep an efficient interaction with your research mentors or experts. Insufficient directions or misinterpretations can cause troubles.
  13. Revisions and Reviews: Considering the reviews from mentors or tutors and carrying out the revision process to your thesis requires more time.
  14. Stress and Exhaustion: Dealing with research, meeting end-time, and handling various works are stressful processes and can cause exhaustion.
  15. Perfectionism: Trying for research appropriateness can give rise to unwanted stress and obstructions. Therefore, it is significant to maintain stability among development and standard.
  16. Publication Difficulties: When you intend to publish your work, carrying out the publication procedure, handling refusals, and considering experts’ statements are challenging.
  17. Time Restrictions: Mostly, MS thesis research has a specified timeframe. Thus, it is complicated to meet end-time and finish the research within a particular time.
  18. Funding and Grants: Protecting grants or funding for your research can be tricky and requires more time.
Master Thesis Projects

Master Thesis Result Section Writing Services

The findings and our interpretation of our research data will be arranged in proper logical order which will be written in past tense form. Our developers frame the code and implementation part correctly by using proper tools we share it with us along with the reference papers.  Get a perfect Master Thesis Result Section Writing Services from professionals the topics that is given below we have provided best result services you can share with us your needs we are ready to fulfill your needs.

  1. Demonstration of Software-Defined Packet-Optical Network Emulation with Mininet-Optical and ONOS
  2. Scalability analysis and flow admission control in mininet-based SDN environment
  3. Simulating Software Defined Networking Using Mininet to Optimize Host Communication in a Realistic Programmable Network
  4. MiniNAM: A network animator for visualizing real-time packet flows in Mininet
  5. Hybrid GNS3 and Mininet-WiFi Emulator for SDN Backbone Network Supporting Wireless IoT Traffic
  6. Emulating Software Defined Network Using Mininet and OpenDaylight Controller Hosted on Amazon Web Services Cloud Platform to Demonstrate a Realistic Programmable Network
  7. Mininet on steroids: exploiting the cloud for Mininet performance
  8. Performance Evaluation of Various Topological Software Defined Networks Using Mininet Simulator and Pox Controller
  9. Evaluation of performance and scalability of Mininet in scenarios with large data centers
  10. Performance Evaluation of Software-Defined Wireless Networks in IT-SDN and Mininet-WiFi
  11. Dynamic Traffic Diversion in SDN: testbed vs Mininet
  12. Performance Analysis of Floodlight and Ryu SDN Controllers under Mininet Simulator
  13. Simulation Framework for 6LoWPAN Networks Using Mininet-WiFi
  14. Mininet-NFV: Evolving Mininet with OASIS TOSCA NVF profiles Towards Reproducible NFV Prototyping
  15. 6LoWPAN Performance Analysis of IoT Software-Defined-Network-Based Using Mininet-Io
  16. Resilient Network and Data Transmission between Philippines and Vietnam via Software-Defined Network using OpenDaylight Controller and Mininet
  17. Development of Control-Plane Switch Migration Testbed Using Mininet-WiFi for Software-Defined Vehicular Network
  18. Demonstration of Packet-Optical Intent-Based Survivability Using Mininet-Optical
  19. Comparison of SDN OpenFlow network simulator and emulators: EstiNet vs. Mininet
  20. Emulation of Software Defined Networks Using Mininet in Different Simulation Environments

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