July 2020 MITS6005 Big Data Research Report Copyright © 2020 VIT, All Rights Reserved. 2 MITS6005 Research Report Research Report Weightage: 10% Submission deadline: Session 9 The purpose of...

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July 2020 MITS6005 Big Data Research Report Copyright © 2020 VIT, All Rights Reserved. 2 MITS6005 Research Report Research Report Weightage: 10% Submission deadline: Session 9 The purpose of assessment is to assess students on the following Learning Outcomes: LO2: Expertly apply techniques to perform big data query manipulation, evaluate various data storage option and type of aggregated data modelling. Through a critical study, choose an appropriate storage model based on the application requirements for processing large amounts of structured and unstructured data. LO4: Carry out research on emerging Big Data technologies to evolve models/solutions such as configurable and executable compute jobs on top of using distributed and shared memory architecture and Resilient Distributed Data Sets (RDDs). Objective(s):- This assessment expects the student to submit a critique report on a research article related to a Big Data and its current trend technologies. This assessment is designed to improve student presentation skills and to give students experience in researching a topic and writing a report/Critique report relevant to the Unit of Study subject matter. The research articles would be tasked to explore further research trends relevant to the unit content. As further research findings evolve the unit lecturer may supplement or substitute these to keep the research delivery current and updated. For this component you will prepare a report/critique on an academic paper related to Big data or big data technologies, Big data analytics, Big data security etc. The paper you select must be directly relevant to one of these major topics. The paper can be from any academic conference or other relevant Journal or online sources such as Google Scholar, Academic department repositories etc. The topic and the related paper need not be later than 2013-14. The selected paper title with their URL may be uploaded on discussions in Moodle for other students as a reference and to avoid duplicity. Note: popular magazine articles, web sites and blogs are not academic sources. Copyright © 2020 VIT, All Rights Reserved. 3 MITS6005 Research Report General Instructions 1. All students must select a different paper. The paper must be approved by your instructor or tutor before proceeding. In case two students are wanting to report on the same paper, the first who emails the instructor with their choice will be allocated that paper (provided it is acceptable). 2. Your writing should be clear and concise and be in your own words. 3. The report should be written in appropriate business language so that your analysis and discussion have an objective tone. 4. The report must be in the range of 1,500-2,500 words in length excluding references. 5. The referencing style must follow the IEEE referencing style. Report Writing Guidelines 1. The principal sentence or two of your report need to contain the author’s proposal, or focal idea, expressed in your own words. 2. Do not use personal pronouns (I, we, your etc). You are summarizing the article and not critiquing the article 3. Do not write the same sentence as in the article. Rephrase to highlight the general idea. Do not repeat sentences from the article. 4. Identify the main argument or research question of the article. Mention the main aspects of the work in your own words 5. Discuss the methodology (tools/methods) used to derive to the conclusion. However, the methodology used need not be discussed in detail (only the main idea). 6. Write the conclusion derived by the user by the article. Do not forget to mention the research question/ argument of the author to effectively conclude the paper. 7. Make sure your summary covers the main objective, research question, the conclusions/results, and how those results were achieved. Submission Guidelines Copyright © 2020 VIT, All Rights Reserved. 4 MITS6005 Research Report • Follow the links in Moodle to upload your report on or before the deadline. The report must be submitted on the LMS in the respective link i.e. MITS6005 Research report - (Melbourne/Sydney). • The student should upload the file in the respective links on time on/before the due date set by the lecturer in the due week. • Late penalty applies on late submission, 10% per day would be deducted. • Incidence of plagiarism will be penalized. Marking Guide: 50 Marks (scale to 10%) Rubrics for MITS6005 Research Report Task Description Marks Proper selection of the title Selection of the title related to the unit and in context with the requirement 5 Structure/organi zation of the report The structure of the report is logical and student. The report is well organized, has a clear introduction, body and conclusion. 5 Introduction Clear and succinct summary with highlights and major key points of the paper are mentioned in the introduction. 10 Criticism Clear understanding of the author’s interpretation and implication of the results. Strength and weaknesses related to the article are addressed properly. 15 Grammar and spelling check The student has almost no grammatical errors or typos. 5 Conclusion Clear and explicit arguments with appropriate conclusion of the report 10 Editorial IoT Big Data Analytics Salimur Choudhury ,1 Qiang Ye,2 Mianxiong Dong ,3 and Qingchen Zhang4 1Lakehead University, �under Bay, Canada 2University of Prince Edward Island, Charlottetown, Canada 3Muroran Institute of Technology, Muroran, Hokkaido, Japan 4St. Francis Xavier University, Antigonish, Canada Correspondence should be addressed to Salimur Choudhury; [email protected] Received 14 July 2019; Accepted 15 July 2019; Published 30 July 2019 Copyright © 2019 Salimur Choudhury et al. �is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. A successful Internet of things (IoT) environment requires standardization that contains interoperability, compatibility, reliability, and e„ectiveness of the operations on a global scale. �e rapid growth of the IoT causes a sharp growth of data. Enormous amounts of networking sensors are con- tinuously collecting and transmitting data to be stored and processed in the cloud. Such data can be environmental data, geographical data, astronomical data, logistic data, and so on. Mobile devices, transportation facilities, public facilities, and home appliances are the primary data acquisition equipment in IoT. �e volume of such data will surpass the capacities of the IT architectures and infrastructure of existing enterprises and, due to real-time analysis character, will also greatly impact the computing capacity. Manage- ment of these increasingly growing data is a challenge for the community in general. Due to the generation of big data by IoT, the existing data-processing capacity of IoT is becoming ine„ective, and it is imperative to incorporate big data technologies to promote the development of IoT. It is im- portant to understand that the success of IoT lies upon the e„ective incorporation of big data analytics. �e widespread deployment of IoT also gives a challenge to big data com- munity to propose new techniques since both big data and IoT are interdependent themselves. On the one hand, the widespread deployment of IoT provides data both on quantity and on category, thus providing the opportunity for the application and development of big data; on the other hand, the incorporation of big data analytics in IoT si- multaneously accelerates the research advances and business models of IoT. �is special issue provides some exciting papers in this area covering topics like the fault tolerant mechanism for big data applications using the cloud, hybrid parallel load-bal- ancing algorithm for big data application, privacy-pre- serving service recommendation over sparse data, and genetic algorithm for the coevolution of meteorological data in the industrial Internet of things. Conflicts of Interest �e editors declare that they have no con‹icts of interest regarding the publication of this special issue. Salimur Choudhury Qiang Ye Mianxiong Dong Qingchen Zhang Hindawi Wireless Communications and Mobile Computing Volume 2019, Article ID 9245392, 1 page https://doi.org/10.1155/2019/9245392 mailto:[email protected] https://orcid.org/0000-0002-3187-112X https://orcid.org/0000-0002-2788-3451 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1155/2019/9245392 International Journal of Aerospace Engineering Hindawi www.hindawi.com Volume 2018 Robotics Journal of Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Volume 2018 Active and Passive Electronic Components VLSI Design Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Volume 2018 Shock and Vibration Hindawi www.hindawi.com Volume 2018 Civil Engineering Advances in Acoustics and Vibration Advances in Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Volume 2018 Electrical and Computer Engineering Journal of Advances in OptoElectronics Hindawi www.hindawi.com Volume 2018 Hindawi Publishing Corporation http://www.hindawi.com Volume 2013 Hindawi www.hindawi.com The Scientific World Journal Volume 2018 Control Science and Engineering Journal of Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Journal ofEngineering Volume 2018 Sensors Journal of Hindawi www.hindawi.com Volume 2018 International Journal of Rotating Machinery Hindawi www.hindawi.com Volume 2018 Modelling & Simulation in Engineering Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Volume 2018 Chemical Engineering International Journal of Antennas and Propagation International Journal of Hindawi www.hindawi.com Volume 2018 Hindawi www.hindawi.com Volume 2018 Navigation and Observation International Journal of Hindawi www.hindawi.com Volume 2018 Advances in Multimedia Submit your manuscripts at www.hindawi.com https://www.hindawi.com/journals/ijae/ https://www.hindawi.com/journals/jr/ https://www.hindawi.com/journals/apec/ https://www.hindawi.com/journals/vlsi/ https://www.hindawi.com/journals/sv/ https://www.hindawi.com/journals/ace/ https://www.hindawi.com/journals/aav/ https://www.hindawi.com/journals/jece/ https://www.hindawi.com/journals/aoe/ https://www.hindawi.com/journals/tswj/ https://www.hindawi.com/journals/jcse/ https://www.hindawi.com/journals/je/ https://www.hindawi.com/journals/js/ https://www.hindawi.com/journals/ijrm/ https://www.hindawi.com/journals/mse/ https://www.hindawi.com/journals/ijce/ https://www.hindawi.com/journals/ijap/ https://www.hindawi.com/journals/ijno/ https://www.hindawi.com/journals/am/ https://www.hindawi.com/ https://www.hindawi.com/
Answered Same DayOct 03, 2021MITS6005

Answer To: July 2020 MITS6005 Big Data Research Report Copyright © 2020 VIT, All Rights Reserved. 2 MITS6005...

Hartirath answered on Oct 04 2021
138 Votes
IoT
IoT
Student Name:
Unit Name:
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Date:
Contents
Introduction    3
Criticism    4
Conclusion    7
References    8
Introduction
The Internet of Things data has grown exponentially because of innovative developments in the field of IT. The IoT data generated from several devices moreover sensors (for ex
ample temperature, sound, or motion) has a huge gap, is noisy, is highly unstructured, and is generated in a large number of different types. Therefore, it’s not easy for those existing BI as well as common analysis tools that are designed for the procedure of big IoT data [1]. The resolution to the above-mentioned problems can only be realized throughout big IoT data analysis. This article reviews the proprietary moreover open-source data analysis platform of the Big Internet of Things and proposes a comparative analysis to helps further research in the field of Big Internet of Things data analysis. The rapidly growing and expanding field is called the IoT, which involves the expansion of the Internet beyond standards devices such as smartphones, computers, moreover tablets, as well as the link of other objects as well as physical devices. This enables monitoring and control of various devices, and sensors, or interaction and communication via the Internet [2]. This means a lot of opportunities for revolutionary and new types of applications and services. As a outcome, we are now witnessing a technological revolution in which thousand of people are connected through the increasingly widespread use of various devices and generate huge amount of data. The cost of technology has been greatly reduced, which allows everyone to access the Internet as well as collect data and a large amount of concurrent information.
The direct result of the emergence of this revolutionary new technological opportunity is the urgent need to develop and adapt to other associated fields to further promote the progress of the IoT. Therefore, new words and expressions, for example, big data, data science, and cloud computing have begun to appear [3]. Data science has also been explained as "unifying the concepts of statistics, data analysis, machine learning, and related methods" to "understand and analyze actual phenomena in data", or there is a great demand for expert data scientists.
Special attention will be paid to how to solve the increasingly complex management problems that follow. Since this is a complex field, we divide big data process into many different levels to establish the most significant points in evry stage, although highlighting the applicable papers associated with each level to the reader [4]. Because of the difficulty of organization big data, we formed a separate section for the stages of the big data process mentioned above. Our contribution clearly shows the advantages of each stage of the knowledge discovery process compared to methods that provide a broader perspective. The benefit of this plan is the ability to know and analyze the challenges and opportunities in each specific stage [5].
Criticism
A successful IoT environment needs standardization, which includes interoperability, reliability, compatibility,...
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