Cloud computing is a distributed computing model which supplies an infinite number of services and applications for serving end-user requirements. In other words, it is also known as an on-demand service utilization system. Here, the resources are handed over as Data Centers (DC) which comprises both Virtual Machines (VMs) and Physical Servers / Machines. By the by, these data centers take the responsibility of monitoring QoS and service readiness. This page is about the scholar’s current interesting cloud computing topics for Python Cloud Computing Projects.
For both small-scale and large-scale applications, it offers a sophisticated cloud infrastructure for processing and storing their application data. The cloud naturally differs from others in the aspects of modeling, deploying, operating, managing the physical environment. Since the user can dynamically avail the necessary services from providers without owning the whole environment. For instance: Yahoo Sherpa, Google Trace, and some other private clouds. Also, we have given the available different layers in cloud infrastructure.
What are the Layers of Cloud Computing?
- Application layer
- Description of classes in respect to Cloud Application (i.e., installed/designed / controlled in a Cloud Platform)
- User layer
- Description of classes in respect to the users of a Cloud4SOA framework (i.e., PaaS providers / DevOps engineers)
- Infrastructure layer
- Description of classes in respect to the infrastructure (i.e., software/hardware)
- Further, it is used in Platform and Application layers
- Also, evaluate the software/hardware elements by performance parameters
- Enterprise layer
- Description of classes in respect to Cloud enterprises (i.e., IaaS/ PaaS providers)
- Platform layer
- Description of classes in respect to Cloud-assisted platform (i.e., programming language)
- Highly depends on the Infrastructure layer to support software/hardware services
Python is a general (multi-paradigm) purpose programming language. Over the past few years, python is constantly achieving the position of top-demanding language in the research world. If you refer to recent papers on cloud computing areas, then you can get to know that python is largely recommended than others.
Even people who are not interested in programming are also nowadays moving towards python. Since it is very user-friendly and simple to model and develop cloud computing applications. As a result, python is referred to as the ruling language in current and future research. So, candidates are heading for python learning to improvise their python skills despite their roles, experience, and qualifications. Let’s see the characteristics that gain more people’s attention.
Key Features of Python
- Portable
- Interpreted
- Easiest code to learn
- Object-Oriented
- Cost Free and Open Source
- Extensive Support of Modules Packages
- High-Level Programming Language
Is Python useful for cloud computing?
Python scripting plays a major role in dealing with the most complex cloud applications. The usage of Python Cloud Computing projects is growing day by day. Since it enables the developers to build cloud-based streaming analytics apps by fast analysis and organization of data. Then, it is used to automate and update the regular daily activities and DevOps whereas, the Open stack cloud is also developed by Python. Moreover, python facilitates various programming approaches.
- Functional programming
- Object-oriented programming
- Aspect-oriented programming
- Structured programming
Next, we can see how the Python Cloud Computing Projects are implemented successfully. For that, here we have given the simplified three steps to be followed in the development of the python application. Scale your Python application on any cloud provider with three steps.
- Step 1: Build your application either in local or cloud-based on your preference
- Step 2: Place a cluster on your cloud service provider of demand.
- Step 3: Execute your application over the cluster
Further, our research team has given you the most important ideas for Python Cloud Computing Projects which are collected from aspects of the Cloud Computing research field. Since python is globally used in many different applications.
Python based Cloud Research Topics
- Cloud Services Selection and Discovery
- Cloud Privacy, Trust, and Security
- Certification, Assurance, Compliance, Audit
- Cloud Monitoring and Metering
- Cloud Service Composition, Automation, and Adaptation
- Cryptographic Protocols and Algorithms
- Parallel and Distributed Query Processing
- ML and AI Approaches for Cloud Processes
- Cloud Services / Resources with Interoperability
- Multi-cloud and Cloud Federation Management
- Data, Resource, Energy, and Configuration Management
- Greater Reliability / Accessibility and Fault tolerance
Cloud-based Python Applications
Web and internet development
In general, python is popularly used to develop both numeric and scientific computing applications. Also, it is preferable to build web-based applications /services. Through our experience, we have listed some of the web developments.
- Advanced Open Source CMS (django CMS and Plone)
- Micro-frameworks (Bottle and Flask)
- Frameworks (Pyramid and Django)
In order to support various applications, python is furnished with more standard libraries. These libraries help the developers to work with different internet protocols to flexibly design computing projects. And, few of them are pointed out for your references.
- Email processing
- JSON, XML and HTML
- Easy to incorporate Socket Interface
- Support for IMAP, FTP, and many IP protocols
AWS cloud computing python
What is AWS in Python?
Here, by the following steps, one can mount the Amazon Simple Storage Service (Amazon S3) buckets and upload the file,
- Install the SDK Package with their Dependencies
- Configure the AWS Access Keys
- Execute the Sample
How is AWS related to Python?
Through its inspiring accessibility and robustness features, it turns out to be the typical way of storing varied data (images/videos). Also, it extends the support of integrating S3 with other services to design scalable applications. For instance: Boto3 (Python SDK for AWS). This is used to create and manipulate AWS resources/services (S3, SQS, EC2, AWSKMS, Identity management, SES, etc.) through Python scripts.
Amazon Web Services (AWS) datasets – Amazon is comprised of more huge datasets which support both user endpoint and cloud. Also, it let the user examine the data in the cloud using EMR, EC2, and Hadoop. Here, we listed some famous datasets that are widely used in many applications
- Full Enron email dataset
- Google Books n-grams
- NASA NEX datasets
- Million Songs dataset
- And many more
DATASETS IN CLOUD COMPUTING
For illustration purposes, we have given how data is collected, generated, accessed for the python project through some samples
- Data Generation
- Monte Carlo Simulation – GoCJ dataset
- Related Dataset
- Yahoo Cluster Traces
- OpenCloud Hadoop Workload
- GWA-T Traces
- Task Execution Time Modeling (TETM)
- Eucalyptus IaaS Cloud Workload
- Facebook Hadoop Workload
- Heterogeneous Computing Scheduling Problem (HCSP) instances
- Data Format
- Filtered, Analyzed, Raw
- How data was Acquired
- Job-size Google cluster traces behavior
- Data Accessibility
- The GoCJ Dataset is placed in Mendeley Data Repository for public access
- Type of Data
- 19 Text files – job sizes (in M1s) in the dataset
- 01 Text file – Java Code for GoCJ in the original dataset
- 01 Excel file – GoCJ dataset generator
On the whole, if you are looking for the best guidance in developing a python cloud computing projects then contact our team. We are ready to give top-quality service in the required phase starting from topic selection to development with thesis/dissertation writing support.
Milestones
MILESTONE 1: Research Proposal
Finalize Journal (Indexing)
Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.
Research Subject Selection
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Research Topic Selection
We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other
Literature Survey Writing
To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)
Case Study Writing
After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.
Problem Statement
Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.
Writing Research Proposal
Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)
MILESTONE 2: System Development
Fix Implementation Plan
We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.
Tools/Plan Approval
We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.
Pseudocode Description
Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.
Develop Proposal Idea
We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.
Comparison/Experiments
We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.
Graphs, Results, Analysis Table
We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.
Project Deliverables
For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.
MILESTONE 3: Paper Writing
Choosing Right Format
We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.
Collecting Reliable Resources
Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.
Writing Rough Draft
We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources
Proofreading & Formatting
We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on
Native English Writing
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We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.
MILESTONE 4: Paper Publication
Finding Apt Journal
We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.
Lay Paper to Submit
We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.
Paper Submission
We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.
Paper Status Tracking
We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.
Revising Paper Precisely
When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.
Get Accept & e-Proofing
We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.
Publishing Paper
Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link
MILESTONE 5: Thesis Writing
Identifying University Format
We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.
Gathering Adequate Resources
We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.
Writing Thesis (Preliminary)
We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.
Skimming & Reading
Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.
Fixing Crosscutting Issues
This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.
Organize Thesis Chapters
We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.
Writing Thesis (Final Version)
We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.
How PhDservices.org deal with significant issues ?
1. Novel Ideas
Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.
2. Plagiarism-Free
To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.
3. Confidential Info
We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.
- Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
- Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.
CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.
4. Publication
Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.
5. No Duplication
After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.
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