Cloud computing & dbms
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In Cloud computing we explain the basics of cloud and its model. It contain contents which distinguish between different types of clouds and its characteristics. With the help of presented point you will able to select your required cloud solution that can meet your company requirements.
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Harvard Extension School: Cloud Security Final Project - HIPAA Compliance Aud...
Harvard Extension School: Cloud Security Final Project - HIPAA Compliance Aud...Ts. Mohd Shahrul Zharif Bin Sharudin
This slides is a final project presentation for Cloud Security course in Harvard Extension School. It describes how to design a HIPAA Compliance Auditing and Logging in Cloud Infrastructure for a fictitious company called GoodBuy.CloudSecurity
Cloud computing allows for shared resources and data to be provided over the internet. Cloud security aims to protect this data and infrastructure through policies, technologies, and controls. There are security concerns both for cloud providers in maintaining infrastructure integrity and user data safety, and for users in ensuring strong authentication. Nine notable security threats are identified: data breaches, data loss, account hijacking, insecure interfaces, denial of service attacks, malicious insiders, abuse of cloud services, insufficient due diligence, and shared technology vulnerabilities. The document outlines preventative measures for each threat and discusses related privacy and data protection laws in India.
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The document discusses security considerations for cloud computing. It covers topics like cloud storage, services, who uses clouds, privacy concerns, and cryptography techniques like homomorphic encryption and searchable encryption that can improve security. It also examines IBM's security framework, which takes a business perspective on protecting resources. Finally, it provides guidance on implementing secure clouds, such as developing a security program, building a secure infrastructure, protecting data, access control, and auditing.
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Cloud computing delivers computing resources over a network and includes three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Security threats to cloud computing include hackers abusing cloud resources to conduct denial of service attacks and brute force attacks at low cost. Data breaches are also a risk as sensitive data stored in the cloud has been targeted by online theft. Malware injection attacks and wrapping attacks that change the execution of web applications are additional security risks. Countermeasures include access management, data protection techniques, and implementing security policies and technologies.
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This document discusses technical security issues in cloud computing. It begins with an introduction to cloud computing and outlines some of the main security concerns when relying on external companies to store and process data in the cloud. These concerns include data confidentiality, safety and privacy. The document then surveys related work on web service and transport layer security. It proceeds to examine specific security issues in cloud computing like XML signature issues, browser security vulnerabilities, risks of cloud integrity and binding failures, and flooding attacks. It concludes by noting that improving cloud security requires strengthening the security of both web browsers and web service frameworks.
Data security using rsa
The document discusses using the RSA algorithm to provide data security in cloud computing. It begins with an objective to ensure security and optimize encryption/decryption time using RSA. It then provides background on cloud computing and the need for security. It describes the RSA algorithm, including key generation, encryption, and decryption. It also discusses a proposed method to improve data security and decrease execution time by increasing key length.
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Cloud computing allows for shared resources and data to be provided over the internet. Cloud security aims to protect this data and infrastructure through policies, technologies, and controls. There are security concerns both for cloud providers in maintaining infrastructure integrity and user data safety, and for users in ensuring strong authentication. Nine notable security threats are identified: data breaches, data loss, account hijacking, insecure interfaces, denial of service attacks, malicious insiders, abuse of cloud services, insufficient due diligence, and shared technology vulnerabilities. The document outlines preventative measures for each threat and discusses related privacy and data protection laws in India.
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Cloud computing delivers computing resources over a network and includes three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Security threats to cloud computing include hackers abusing cloud resources to conduct denial of service attacks and brute force attacks at low cost. Data breaches are also a risk as sensitive data stored in the cloud has been targeted by online theft. Malware injection attacks and wrapping attacks that change the execution of web applications are additional security risks. Countermeasures include access management, data protection techniques, and implementing security policies and technologies.
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The document discusses using the RSA algorithm to provide data security in cloud computing. It begins with an objective to ensure security and optimize encryption/decryption time using RSA. It then provides background on cloud computing and the need for security. It describes the RSA algorithm, including key generation, encryption, and decryption. It also discusses a proposed method to improve data security and decrease execution time by increasing key length.
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The document discusses cloud computing and ensuring data security in cloud storage. It defines cloud computing as internet-based computing using shared resources provided on demand. It then lists advantages and disadvantages of cloud storage. The document proposes using distributed verification protocols and homomorphic tokens to ensure data integrity, error detection, and dependability while supporting dynamic operations like updates, deletes and appends. The goal is to address security threats to confidentiality, integrity and availability of data stored in the cloud.
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The document discusses security issues related to cloud computing data storage. It examines how companies can make informed decisions about storing data in the cloud and ensure sufficient privacy protection and regulatory compliance. The purpose is to look at basic security methods and how compliance is controlled. It recommends companies consider the security, availability, scalability, and stability of cloud providers before contracting with them. Privacy, security, and compliance are major concerns since companies lose direct oversight of their data and may not know where it is located or who the external providers are. Cloud computing storage may not be suitable for all businesses due to these challenges.
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The document discusses data security in cloud environments. It covers cloud computing models including infrastructure as a service, platform as a service and software as a service. It also discusses common attacks on clouds like denial of service and phishing attacks. The document outlines cloud security controls that are deterrent, preventive, detective and corrective. It discusses security models for data integrity, privacy and confidentiality in clouds.
multiple encryption in clouud computing
This document proposes a new security architecture for cloud computing that uses multiple layers of encryption. It includes AES encryption of files, RSA for secure communication, MD5 hashing to hide tables from users, and one-time passwords for authentication. The model aims to address security issues like malicious attacks by distributing servers and requiring control over multiple servers to access encrypted information. Previous models are discussed that used single encryption or stored encryption keys with encrypted files. The proposed architecture provides a more secure system through its multi-layered approach.
Security threats in cloud computing
There are many security threats in cloud computing. But the major security threats in the security of the data is third party auditor of data or user data. The various security model varies from application to application. After studying the model of proof of retrievability. The new model will proposed for E-learning, while putting the data on the cloud because security is important factor
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This document provides a summary of a seminar presentation on cloud computing security. It begins with the names and student IDs of three presenters and their advisor. It then includes an abstract, introduction and overview of cloud computing features, categories, deployment models, and important security issues. The objectives and research questions of the presentation are outlined. A literature review discusses past research on cloud computing security techniques like encryption algorithms and key management schemes. The document provides context and outlines for the seminar presentation on securing cloud computing.
Cloud computing security
"Cloud computing security or, more simply, cloud security refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
It is a sub-domain of computer security, network security, and, more broadly, information security." By Ambrish Gangal
Security Issues in Cloud Computing
This presentation will give brief overview on cloud computing and some basic types of encryption used in securing data in could computing
Cloud Computing Security
Cloud computing security is the set of control-based technologies and policies designed to adhere to regulatory compliance rules and protect information, data applications and infrastructure associated with cloud computing use
Cloud computing & security basics
- The document discusses cloud computing concepts including virtualization, essential cloud features, cloud service models (SaaS, PaaS, IaaS, BPaaS), deployment models (private, public, hybrid, community cloud), and benefits of cloud computing.
- It outlines security concerns in cloud environments related to issues like physical controls being replaced by virtual controls, expanded access and shifted control, and increased speed of provisioning. It discusses how security domains map to cloud environments.
- Finally, it presents two viewpoints on cloud security - security from the cloud focuses on security-as-a-service, while security for the cloud focuses on secure usage of cloud applications.
Cloud computing security
Cloud security involves securing the data, applications, and infrastructure associated with cloud computing. The document outlines some common cloud security issues like data breaches, data loss, account hijacking, insecure APIs, denial of service attacks, and back doors. It also discusses how cloud computing works using various deployment models and service models. Finally, it recommends questions users should ask cloud providers about data storage locations, security practices, inspection access, migration costs, disaster recovery documentation, and privacy policies.
Attaining data security in cloud computing
This document discusses attaining data security in cloud computing. It aims to address security issues like insider attacks and identity theft. The challenges of storing data across distributed cloud systems while maintaining integrity and control are examined. Traditional cryptographic techniques like encryption, decryption, and digital signatures are explored as well as symmetric and asymmetric ciphers. A system model involving users, cloud service providers, and third party auditors is proposed. Simulation tools and references are also provided.
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This document discusses cloud computing and provides definitions and characteristics. It can be summarized as:
Cloud computing refers to network-based services and resources that are provided over the internet. Key characteristics include services being hosted remotely and accessed from anywhere, with users paying based on usage. Cloud services provide scalable, on-demand access to shared computing resources and infrastructure via the internet, hiding the complexity of the underlying technology from users.
Cloud Computing
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What is cloud computing, working, types, architecture, advantages, disadvantages, etc....
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Please share your feedback or webinar ideas here: http://bit.ly/glcfeedback
Check our schedule for future events: https://www.glcnetworks.com/schedule/
Follow our social media for updates: Facebook, Instagram, YouTube Channel, and telegram
Data storage security in cloud computing
The document discusses cloud computing and ensuring data security in cloud storage. It defines cloud computing as internet-based computing using shared resources provided on demand. It then lists advantages and disadvantages of cloud storage. The document proposes using distributed verification protocols and homomorphic tokens to ensure data integrity, error detection, and dependability while supporting dynamic operations like updates, deletes and appends. The goal is to address security threats to confidentiality, integrity and availability of data stored in the cloud.
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MD. Hasibur Rashid is a Computer Science and Engineering student at Patuakhali Science and Technology University in Bangladesh. The document discusses several types of cybersecurity attacks including denial of service attacks, man-in-the-middle attacks, network sniffing, port scanning, SQL injection, cross-site scripting, data breaches at cloud computing providers, accidental data loss by providers, and hijacking of user accounts. Countermeasures for these attacks include reducing user privileges, properly configuring SSL, using encryption, securing open ports with firewalls, and ensuring cloud data is only accessed via secure platforms.
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Kuan Hon's slides for workshop on data protection in cloud computing at Data Protection 2011 conference organised by Holyrood in Edinburgh, UK on 24 February 2011.
Ryan_Holt_MS_Thesis_Project_Presentation
Ryan Holt presents a master's thesis on developing a secure mobile messaging application using identity-based encryption. The presentation includes an introduction outlining privacy and security concerns with existing messaging apps and cloud services. It then covers the background concepts of identity-based encryption, elliptic curve cryptography, and the PBC library. Finally, it details the design, implementation, and user experience of the proof-of-concept mobile messaging app created for the thesis project.
Virtualization security for the cloud computing technology
This document outlines a seminar presentation on virtualization security for cloud computing. It begins with an introduction noting the widespread adoption of virtualization in data centers. The literature survey section summarizes several papers on virtualization security risks and solutions. The presentation defines virtualization and cloud enabling technologies. It discusses why virtualization is important, the architecture of virtualization, and applications of virtualization. The presentation also covers virtualization risks, threats, security approaches, and the issue of virtual machine sprawl. It outlines benefits of virtualization and concludes with future research topics and references.
Analysis-of-Security-Algorithms-in-Cloud-Computing [Autosaved]
This document analyzes security algorithms in cloud computing. It discusses challenges like security and privacy in cloud computing. It describes how data is stored and secured in the cloud, including issues like unauthorized access. It then explains existing security algorithms like AES and RSA. AES uses symmetric encryption with a variable key length and multiple rounds of transformations. RSA uses asymmetric encryption with a public/private key pair. The document proposes further developments in areas like multiple encryption and biometric security before concluding.
security Issues of cloud computing
This document discusses current security issues for cloud computing. It begins by defining cloud computing and describing its key characteristics and delivery models. It then outlines the main security problems which stem from loss of control, lack of trust, and multi-tenancy in cloud environments. Specifically, it examines issues relating to network security, data security, virtualization, interfaces, and governance in cloud computing. It concludes that while cloud computing provides scalable resources, it also introduces both traditional and new security threats for users.
Ensuring data security in cloud computing. - Anusha Tuke
This document discusses ensuring data storage security in cloud computing. It begins by defining cloud computing and noting the security challenges it poses since users lose control of their data. It then proposes a distributed scheme using error-correcting codes to ensure correctness of user data in the cloud while supporting dynamic operations like updates, deletes and appends. The scheme provides data error localization. Analysis shows it is efficient and resilient against attacks while reducing overhead compared to replication techniques.
Security Problem With Cloud Computing
The document discusses security issues related to cloud computing data storage. It examines how companies can make informed decisions about storing data in the cloud and ensure sufficient privacy protection and regulatory compliance. The purpose is to look at basic security methods and how compliance is controlled. It recommends companies consider the security, availability, scalability, and stability of cloud providers before contracting with them. Privacy, security, and compliance are major concerns since companies lose direct oversight of their data and may not know where it is located or who the external providers are. Cloud computing storage may not be suitable for all businesses due to these challenges.
Data security in cloud environment
The document discusses data security in cloud environments. It covers cloud computing models including infrastructure as a service, platform as a service and software as a service. It also discusses common attacks on clouds like denial of service and phishing attacks. The document outlines cloud security controls that are deterrent, preventive, detective and corrective. It discusses security models for data integrity, privacy and confidentiality in clouds.
multiple encryption in clouud computing
This document proposes a new security architecture for cloud computing that uses multiple layers of encryption. It includes AES encryption of files, RSA for secure communication, MD5 hashing to hide tables from users, and one-time passwords for authentication. The model aims to address security issues like malicious attacks by distributing servers and requiring control over multiple servers to access encrypted information. Previous models are discussed that used single encryption or stored encryption keys with encrypted files. The proposed architecture provides a more secure system through its multi-layered approach.
Security threats in cloud computing
There are many security threats in cloud computing. But the major security threats in the security of the data is third party auditor of data or user data. The various security model varies from application to application. After studying the model of proof of retrievability. The new model will proposed for E-learning, while putting the data on the cloud because security is important factor
Cloud computing security
This document provides a summary of a seminar presentation on cloud computing security. It begins with the names and student IDs of three presenters and their advisor. It then includes an abstract, introduction and overview of cloud computing features, categories, deployment models, and important security issues. The objectives and research questions of the presentation are outlined. A literature review discusses past research on cloud computing security techniques like encryption algorithms and key management schemes. The document provides context and outlines for the seminar presentation on securing cloud computing.
Cloud computing security
"Cloud computing security or, more simply, cloud security refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
It is a sub-domain of computer security, network security, and, more broadly, information security." By Ambrish Gangal
Security Issues in Cloud Computing
This presentation will give brief overview on cloud computing and some basic types of encryption used in securing data in could computing
Cloud Computing Security
Cloud computing security is the set of control-based technologies and policies designed to adhere to regulatory compliance rules and protect information, data applications and infrastructure associated with cloud computing use
Cloud computing & security basics
- The document discusses cloud computing concepts including virtualization, essential cloud features, cloud service models (SaaS, PaaS, IaaS, BPaaS), deployment models (private, public, hybrid, community cloud), and benefits of cloud computing.
- It outlines security concerns in cloud environments related to issues like physical controls being replaced by virtual controls, expanded access and shifted control, and increased speed of provisioning. It discusses how security domains map to cloud environments.
- Finally, it presents two viewpoints on cloud security - security from the cloud focuses on security-as-a-service, while security for the cloud focuses on secure usage of cloud applications.
Cloud computing security
Cloud security involves securing the data, applications, and infrastructure associated with cloud computing. The document outlines some common cloud security issues like data breaches, data loss, account hijacking, insecure APIs, denial of service attacks, and back doors. It also discusses how cloud computing works using various deployment models and service models. Finally, it recommends questions users should ask cloud providers about data storage locations, security practices, inspection access, migration costs, disaster recovery documentation, and privacy policies.
Attaining data security in cloud computing
This document discusses attaining data security in cloud computing. It aims to address security issues like insider attacks and identity theft. The challenges of storing data across distributed cloud systems while maintaining integrity and control are examined. Traditional cryptographic techniques like encryption, decryption, and digital signatures are explored as well as symmetric and asymmetric ciphers. A system model involving users, cloud service providers, and third party auditors is proposed. Simulation tools and references are also provided.
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Data protection in cloud computing - Data Protection Conference 2011
Data protection in cloud computing - Data Protection Conference 2011
Virtualization security for the cloud computing technology
Virtualization security for the cloud computing technology
Analysis-of-Security-Algorithms-in-Cloud-Computing [Autosaved]
Analysis-of-Security-Algorithms-in-Cloud-Computing [Autosaved]
Ensuring data security in cloud computing. - Anusha Tuke
Ensuring data security in cloud computing. - Anusha Tuke
Similar to Cloud computing & dbms
Cloud introduction
This document discusses cloud computing and provides definitions and characteristics. It can be summarized as:
Cloud computing refers to network-based services and resources that are provided over the internet. Key characteristics include services being hosted remotely and accessed from anywhere, with users paying based on usage. Cloud services provide scalable, on-demand access to shared computing resources and infrastructure via the internet, hiding the complexity of the underlying technology from users.
Cloud Computing
Points covered:-
What is cloud computing, working, types, architecture, advantages, disadvantages, etc....
cloud ppt 1.pptx
Cloud computing is defined as on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort. Essential characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Common deployment models are private cloud, community cloud, public cloud, and hybrid cloud. The main drivers of cloud adoption are reduced costs, improved scalability, and flexibility.
CLOUD
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides many advantages such as lower costs, improved performance and collaboration, universal access, and unlimited storage. However, it also has disadvantages like reliance on a stable internet connection, potential security and reliability issues, and limited features compared to desktop software.
Introduction to Cloud Computing CA03.pptx
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software, analytics and more over the Internet. It provides on-demand services that are scalable, available anywhere, and users only pay for what they use. There are different deployment models like public, private, hybrid and community clouds. The main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud computing provides benefits like cost savings, flexibility and scalability to users, but also has disadvantages like reliance on internet and potential security and data loss issues if providers experience problems.
Cloud computing
Cloud computing involves using the internet and remote servers run by third-party providers to access and store data and applications. It allows users to access software and data storage over the internet rather than locally. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing provides benefits like lower costs, flexibility, and scalability but also risks around security, control and reliability if internet access is lost.
Cloud computing
Cloud computing involves using the internet and remote servers run by third-party providers to access and store data and applications. It allows users to access software and data storage over the internet rather than locally. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing provides benefits like lower costs, flexibility, and scalability but also risks around security, control and reliability if internet access is lost.
A STUDY OF GRID COMPUTING AND CLOUD COMPUTING
Abstract:-
This paper is based on the study of grid computing and cloud computing technology. These two technologies are related with geographically defined network standards. The main aspect of this paper is deep learning of latest technology and trends in the field of networking.
Keywords:-Technology,Cloud Computing,Grid Computing
Lect15 cloud
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud services provide software, platforms, and infrastructure as services on demand over the Internet.
Cloud
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud services provide software, platforms, and infrastructure as services on demand over the Internet.
Cloud computing ppt
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud services provide software, platforms, and infrastructure as services on demand over the Internet.
Lect15 cloud
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet, providing hardware, software, and networking services to clients. Key characteristics of cloud computing include on-demand services that are available anywhere and anytime, elastic scaling, and pay-as-you-go pricing. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages such as lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages like reliance on internet connectivity and potential security and data loss issues.
Introduction to cloud computing
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet, providing hardware, software, and networking services to clients. Key characteristics of cloud computing include on-demand services that are available anywhere and anytime, elastic scaling, and pay-as-you-go pricing. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages such as lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages like reliance on internet connectivity and potential security and data loss issues.
Lect15 cloud
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet, providing hardware, software, and networking services to clients. Key characteristics of cloud computing include on-demand services that are available anywhere and anytime, elastic scaling, and pay-as-you-go pricing. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages such as lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages like reliance on internet connectivity and potential security and data loss issues.
Cloud computing ppt
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud services provide software, platforms, and infrastructure as services on demand over the Internet.
Cloud Computing
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet, providing hardware, software, and networking services to clients. Key characteristics include on-demand services that are available anywhere and anytime, with users paying only for resources that are consumed. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages such as lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages like reliance on internet connectivity and potential security and data loss issues.
Cloud
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet using integrated hardware, software, and infrastructure. Key characteristics include on-demand services that are available anywhere and anytime, elastic scaling, and pay-as-you-go pricing. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages like lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages such as reliance on internet connectivity and potential security and data loss issues.
Lect15 cloud
This document provides an overview of cloud computing. It defines cloud computing as network-based computing that takes place over the Internet, providing hardware, software, and networking services to clients. Key characteristics of cloud computing include on-demand services that are available anywhere and anytime, elastic scaling, and pay-as-you-go pricing. The document discusses different cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also covers advantages such as lower costs, improved performance and collaboration, and unlimited storage, as well as disadvantages like reliance on internet connectivity and potential security and data loss issues.
Lect15 cloud
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include broad network access, resource pooling, rapid elasticity, and measured service. Cloud services provide software, platforms, and infrastructure as services on demand over the Internet.
Cloud computing ppt
This document discusses cloud computing. It begins with an introduction defining cloud computing as internet-based computing where shared resources are provided on demand. It then covers the history, components, architecture, types (public, private, hybrid), advantages of flexibility, low cost and easy management, and disadvantages of dependency and security issues of cloud computing.
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More from Zaid Shabbir
Modern SDLC and QA.pptx
The role of Software Quality Assurance (SQA) has transformed significantly in the context of modern software development life cycle, particularly with the rise of Agile and Scrum methodologies. SQA teams are now integrated into the development process from the beginning, working collaboratively with developers to identify and address quality issues. This agility is critical in ensuring high-quality software products that meet the needs of end-users.
DevOps practices have also played a significant role in the transformation of SQA. By integrating development and operations, DevOps enables SQA teams to work more closely with both teams and ensure that quality is maintained throughout the entire software development life cycle.
To ensure agility in SQA, teams can also implement test automation, continuous integration and delivery, and other DevOps practices. These strategies help to reduce the time and effort required to test software, while also improving accuracy and reliability.
In the future, emerging technologies such as artificial intelligence and machine learning will create new opportunities for innovation in SQA, and new challenges for SQA teams to overcome. However, by embracing agility and DevOps practices, SQA teams will be well-equipped to meet these challenges and continue to ensure the high-quality software products that users demand.
In summary, this presentation will cover the transformation of SQA in modern software development life cycle, with a particular focus on agility, Agile and Scrum methodologies, DevOps practices, and emerging technologies. Attendees will gain a clear understanding of the strategies and technologies that can be used to ensure high-quality software products in an increasingly fast-paced and complex development landscape.
Software Agility.pptx
This document discusses software agility. It begins by explaining why software agility is needed, such as to quickly deliver valuable products and respond to customer needs. It then discusses how software agility can be achieved, including choosing an agile framework, focusing on deliverables and speed, and changing organizational culture. Finally, it defines software agility, discusses common agile frameworks and methodologies, provides tips for choosing the right framework, and notes some common myths about agility.
Software Development Guide To Accelerate Performance
Scrum is the most widely used framework across all software and business industries. By following complete scrum framework you can improve the quality product deliver in more adaptive way.
Slides contents content guidelines related to scrum framework and how some one become a certified scrum master. Slides elaborate scrum framework by using user friendly diagrams and bulleted points. After grasping the slides any one can easily pass certified scrum examination.
I am sure you will enjoy the contents and its really helpful to become a certified scrum practitioner.
Software Testing and Agility
It covers the Agile software development and how effectively use testing technique in Agile environment.
Its helps to understand what is agility in software testing and the roll of whole team in agile software development.
Without automation software testing agility not completed, slides covers when we go for automation and when need aware.
Data security and Integrity
Slides present data and information system. In any information system security and integrity is the prime concern. How we can make sure stored data is more secure and generated information should be accurate, reliable and consistent.
No sql bigdata and postgresql
What is NoSQL and BigData and how we can integrate NoSQL power into tradational RDMS like PostgreSQL.
Files and data storage
The document discusses different methods of file and data storage in computers. It describes how data is organized and stored in both main memory and secondary storage. There are three main file organization structures - sequential, indexed, and hashed. Sequential files store records sequentially and can only be accessed in order. Indexed files use an index to map keys to record locations for faster retrieval. Hashed files apply a hash function to map keys directly to storage locations.
Queue
A queue is a first-in, first-out (FIFO) data structure where items are inserted at one end called the rear and removed from the other end called the front. Common applications include printer queues, bank lines, and computer input/output operations. The document discusses different implementations of queues including physical, single-step append-serve, and circular models. It also covers priority queues where items have priorities and are served according to those priorities.
Queue
A queue is a first-in, first-out (FIFO) data structure where items are inserted at one end and removed from the other. The document discusses different implementations of queues including physical, single-step append-serve, and circular queue models. It also covers priority queues where items are served based on priority level. An example application using queues to simulate airport arrivals and departures is provided. Key queue operations like append, serve, isEmpty and isFull are implemented in C++ using templates.
Sorting
The document provides information on various sorting and searching algorithms, including bubble sort, insertion sort, selection sort, quick sort, sequential search, and binary search. It includes pseudocode to demonstrate the algorithms and example implementations with sample input data. Key points covered include the time complexity of each algorithm (O(n^2) for bubble/insertion/selection sort, O(n log n) for quick sort, O(n) for sequential search, and O(log n) for binary search) and how they work at a high level.
Stack
A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
Tree and binary tree
The document discusses tree data structures and binary search trees. It defines key tree terminology like root, internal and leaf nodes. It explains tree traversal algorithms like preorder, inorder and postorder traversal using recursion and iteration. It also describes operations on binary search trees like searching, inserting and deleting nodes. The complexity of these BST operations is provided. Algorithms to find the inorder predecessor and successor of a node in a BST are presented.
Sorting
The document provides information on various sorting and searching algorithms, including bubble sort, insertion sort, selection sort, quick sort, sequential search, and binary search. It includes pseudocode to demonstrate the algorithms and example implementations with sample input data. Key points covered include the time complexity of each algorithm (O(n^2) for bubble/insertion/selection sort, O(n log n) for quick sort, O(n) for sequential search, and O(log n) for binary search) and how they work at a high level.
Introduction to data structure
This document provides an introduction to data structures. It defines data structures as a way of organizing data so that it can be used efficiently. The document then discusses basic terminology, why data structures are important, how they are studied, and how they are classified as simple or compound, and linear or non-linear. It proceeds to describe common data structures like arrays, stacks, queues, linked lists, trees, and graphs, and how they support basic operations. The document concludes by discussing how to select an appropriate data structure based on the problem constraints and required operations.
More from Zaid Shabbir (14)
Software Development Guide To Accelerate Performance
Software Development Guide To Accelerate Performance
Recently uploaded
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Fundamentals of Programming and Language Processors
Fundamentals of Programming and Language Processors
SWEBOK and Education at FUSE Okinawa 2024
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Oracle 23c New Features For DBAs and Developers.pptx
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Webinar On-Demand: Using Flutter for Embedded
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
E-commerce Development Services- Hornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Artificia Intellicence and XPath Extension Functions
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Using Xen Hypervisor for Functional Safety
An update on making Xen hypervisor functionally safe and enhancing its usage in automotive and industrial use cases
UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Transform Your Communication with Cloud-Based IVR Solutions
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Empowering Growth with Best Software Development Company in Noida - Deuglo
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers. This video you can watch from my youtube channel at https://youtu.be/m-F-mZA3MkU
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Recently uploaded (20)
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Fundamentals of Programming and Language Processors
Fundamentals of Programming and Language Processors
Oracle 23c New Features For DBAs and Developers.pptx
Oracle 23c New Features For DBAs and Developers.pptx
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
Artificia Intellicence and XPath Extension Functions
Artificia Intellicence and XPath Extension Functions
UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions
UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions
Transform Your Communication with Cloud-Based IVR Solutions
Transform Your Communication with Cloud-Based IVR Solutions
Empowering Growth with Best Software Development Company in Noida - Deuglo
Empowering Growth with Best Software Development Company in Noida - Deuglo
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers.pptx
Cloud computing & dbms
- 2. Cloud Computing ● Cloud computing is a platform where software, hardware and internet infrastructure grouped. ● These platforms hide the complexity and details of the underlying infrastructure from users and applications by providing very simple graphical interface ● Platform provides on demand services, that are always on, anywhere, anytime and any place. ● Cloud is most efficient and cost effective w.r.t traditional data centers.
- 3. Cloud Characteristics ● On demand self-service ● Broad network access ● Resource pooling (Storage, processing, memory etc.) ● Rapid elasticity ● Measured services
- 5. Service Models ● Software as a Service (SaaS) – Allows users to run existing online application. – From end user’s point of view applications are located in the cloud and software delivered through the Internet. ● Advantages: – Free or paid applications via subscription over the internet. – Accessible application from any where any time through internet. – Facilitate collaborative working. ● Disadvantage: Generic applications not always suitable for business use.
- 6. Service Models ... ● Platform as a Service (PaaS) – Allows users to create their own tools for creating new online applications (Google App Engine, Windows Azure Platform etc.) ● Advantages: – Rapid development at low cost. – Private or public deployment. ● Disadvantage: – Limit developers to provide languages and tools.
- 7. Service Models ... ● Infrastructure as a Service (IaaS) – Allows existing applications to be run on a cloud suppliers hardware. – Cloud providers build data centers that include power, scale, hardware, networking, storage, distributed system etc. – Cloud users rent storage, computing and maintenance from cloud providers.ho want to create services but don't want to build their own cloud
- 10. Cloud Deployment Models ● Private Cloud: – The cloud infrastructure is dedicated for single organization. – Cloud may be owned, managed, and operated by the organization, a third party, or some combination of them. – It may exist on or off premises. – Can be a single or multi site deployment. ● Private Cloud Advantages: – Fewer security concerns as existing data center security stays in place. – IT organization retains control over data center.
- 11. Cloud Deployment Models ... ● Private Cloud Risks: – High investment hurdle in private cloud implementation, along with purchases of new hardware and software. – Require greater skill-set to manage the private cloud.
- 12. Cloud Deployment Models ... ● Public Cloud: – The cloud infrastructure is provisioned for open use by the general public. – It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. – It exists on the premises of the cloud provider. – Normally includes pay-as-you-go pricing. ● Public Cloud Advantages: – Low investment hurdle: pay for what you use. – Good for test/development environment for applications that scale to many servers.
- 13. Cloud Deployment Models ... ● Public Cloud Risks: – Security concerns: multi-tenancy and transfers over the Internet. – IT organization may react negatively to loss of control over data center function.
- 14. Advantages & Disadvantages (Private VS Public Cloud)
- 15. Cloud Deployment Models ... ● Hybrid Cloud: – The cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, public). – Its deployed on multiple sites. ● Hybrid Cloud Advantages: – Operational flexibility: run mission critical on private cloud, dev/test on public cloud. – Scalability: run peak and bursty workloads on the public cloud. ● Hybrid Cloud Risks: – Still under study and not in real use. – Same security concerns as in public cloud.
- 16. Cloud Deployment Models ... ● Hybrid Cloud:
- 17. Cloud Deployment Models ...
- 18. EnterpriseDB & Google Cloud ● https://console.cloud.google.com/launcher?project=deft-smile-93711&cat=DATABASE