The document proposes a cloud based query solver system featuring ontology for educational institutes. It provides infrastructure as a service (IaaS) allowing students to access virtual machines and software as a service (SaaS) with a query solving interface. An ontology collects and categorizes data from different departments to generate inferences for common student queries and allows domain-specific redirection of questions. The implemented system designs an interface for students and professors and installs Eucalyptus cloud to create operating system instances for access.
This document discusses virtualizing private cloud resources to maximize utilization. It begins by introducing cloud computing and its service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then explains how virtualizing an existing private cloud using virtualization software like VMware can enable multiple virtual clouds to run on a single physical machine. This "cloud within a cloud" approach significantly improves CPU and memory utilization compared to a single private cloud.
Business implementation of Cloud ComputingQuaid Sodawala
This document discusses business implementation and security concerns regarding cloud computing. It provides an introduction to cloud computing, explaining that it allows users to access applications from anywhere through connected devices. The key benefits of cloud computing are discussed as scalability, cost savings, instant access, and mobility. The document also outlines the evolution of cloud computing from earlier concepts like grid computing and utility computing. It describes the different cloud computing models of public, private, and hybrid clouds and how they each have different security risk levels. Finally, it mentions there are also different cloud service models beyond the infrastructure models.
Group seminar report on cloud computingSandhya Rathi
It is short and sobar.It contains information of
Architectural Considerations in that contains Cloud Platform, Cloud Storage, Cloud Services..... Types of Services is also contain in that
Software as a Service(SaaS) ,Platform as a Service(PaaS) , Infrastructure as a Service(IaaS)
Cloud computing provides many benefits but also poses security risks due to data being stored remotely. This document discusses several key security threats in cloud computing like data leakage, attacks against the cloud infrastructure, and issues regarding access control and data segregation. It proposes some solutions to address these risks, such as access control management, incident response processes, data partitioning, and migration capabilities to improve security in cloud environments.
This document provides a seminar report on cloud computing submitted by Vanama Vamsi Krishna in partial fulfillment of the requirements for a Bachelor of Technology degree. The 3-page report includes an abstract, table of contents, introduction on cloud computing concepts, a brief history of cloud computing, key characteristics of cloud computing including cost, scalability and reliability, components and architecture of cloud computing, types and roles in cloud computing, merits and demerits, and a conclusion. The report provides a high-level overview of cloud computing fundamentals.
This document provides a seminar report on cloud computing presented by Divyesh Shah at LDRP Institute of Technology & Research in October 2013. The report includes an introduction to cloud computing, types of clouds and stakeholders, advantages of cloud computing, cloud architecture comparing cloud computing to grid computing and relating it to utility computing, popular cloud applications including Amazon EC2 and S3 and Google App Engine, and applications of cloud computing in India including e-governance and rural development. The report was prepared under the guidance of Mrs. Avani Dadhania.
This document provides an overview of cloud computing, including its history, models, types, advantages and recent developments. Some key points:
1) Cloud computing originated from network diagrams depicting the internet as a cloud. Major companies like Amazon Web Services, Google, and IBM launched cloud services in the mid-2000s.
2) There are three main models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and computing resources, while PaaS and SaaS provide higher-level services.
3) The four main types of cloud are public, community, hybrid, and private clouds
The document provides an overview of cloud computing concepts and mechanisms. It discusses key topics like virtual servers, ready-made environments, automated scaling listeners, failover systems, multi-device brokers, pay-per-use monitors, state management databases, and resource replication. These mechanisms work together to establish cloud-based technology architectures and allow cloud providers to share physical resources with multiple consumers.
This document discusses virtualizing private cloud resources to maximize utilization. It begins by introducing cloud computing and its service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then explains how virtualizing an existing private cloud using virtualization software like VMware can enable multiple virtual clouds to run on a single physical machine. This "cloud within a cloud" approach significantly improves CPU and memory utilization compared to a single private cloud.
Business implementation of Cloud ComputingQuaid Sodawala
This document discusses business implementation and security concerns regarding cloud computing. It provides an introduction to cloud computing, explaining that it allows users to access applications from anywhere through connected devices. The key benefits of cloud computing are discussed as scalability, cost savings, instant access, and mobility. The document also outlines the evolution of cloud computing from earlier concepts like grid computing and utility computing. It describes the different cloud computing models of public, private, and hybrid clouds and how they each have different security risk levels. Finally, it mentions there are also different cloud service models beyond the infrastructure models.
Group seminar report on cloud computingSandhya Rathi
It is short and sobar.It contains information of
Architectural Considerations in that contains Cloud Platform, Cloud Storage, Cloud Services..... Types of Services is also contain in that
Software as a Service(SaaS) ,Platform as a Service(PaaS) , Infrastructure as a Service(IaaS)
Cloud computing provides many benefits but also poses security risks due to data being stored remotely. This document discusses several key security threats in cloud computing like data leakage, attacks against the cloud infrastructure, and issues regarding access control and data segregation. It proposes some solutions to address these risks, such as access control management, incident response processes, data partitioning, and migration capabilities to improve security in cloud environments.
This document provides a seminar report on cloud computing submitted by Vanama Vamsi Krishna in partial fulfillment of the requirements for a Bachelor of Technology degree. The 3-page report includes an abstract, table of contents, introduction on cloud computing concepts, a brief history of cloud computing, key characteristics of cloud computing including cost, scalability and reliability, components and architecture of cloud computing, types and roles in cloud computing, merits and demerits, and a conclusion. The report provides a high-level overview of cloud computing fundamentals.
This document provides a seminar report on cloud computing presented by Divyesh Shah at LDRP Institute of Technology & Research in October 2013. The report includes an introduction to cloud computing, types of clouds and stakeholders, advantages of cloud computing, cloud architecture comparing cloud computing to grid computing and relating it to utility computing, popular cloud applications including Amazon EC2 and S3 and Google App Engine, and applications of cloud computing in India including e-governance and rural development. The report was prepared under the guidance of Mrs. Avani Dadhania.
This document provides an overview of cloud computing, including its history, models, types, advantages and recent developments. Some key points:
1) Cloud computing originated from network diagrams depicting the internet as a cloud. Major companies like Amazon Web Services, Google, and IBM launched cloud services in the mid-2000s.
2) There are three main models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides basic storage and computing resources, while PaaS and SaaS provide higher-level services.
3) The four main types of cloud are public, community, hybrid, and private clouds
The document provides an overview of cloud computing concepts and mechanisms. It discusses key topics like virtual servers, ready-made environments, automated scaling listeners, failover systems, multi-device brokers, pay-per-use monitors, state management databases, and resource replication. These mechanisms work together to establish cloud-based technology architectures and allow cloud providers to share physical resources with multiple consumers.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
The document summarizes an online business management system implemented using a hybrid cloud architecture. Key points:
1. The system uses a hybrid cloud to provide faster access to business transactions and management. This allows small, large, B2B and B2C businesses to use e-commerce for management.
2. A hybrid cloud combines internal private cloud services with external public cloud services, enhancing capabilities for secure, managed and governed cloud services.
3. The system was implemented using PHP for the application and SQL Azure for backend database connectivity. It provides modules for registration, dashboards, customer management, billing, organizing, and generating reports.
This document provides an overview of cloud computing. It begins with an abstract that discusses how cloud computing is a recent buzzword that represents the future of computing both technically and socially. It then covers various topics related to cloud computing including the basics, types of clouds, stakeholders, advantages, motivations for growth, architecture, comparisons to grid computing and utility computing, popular cloud applications and potential applications in India.
The Nist definition of cloud computing cloud computing Research PaperFaimin Khan
This document discusses cloud computing and Google App Engine. It provides an overview of cloud computing concepts like service models, deployment models, and advantages/disadvantages. It then describes Google App Engine, including why Google built it, example apps, the application environment, and architecture. The architecture uses horizontal scaling across Google data centers to isolate and share resources for multiple applications. Quotas define fixed free limits and increased billable limits for resources like storage and bandwidth.
Cloud computing offers organizations scalability, flexibility, and speed while reducing costs. However, issues around security, data privacy, and regulatory compliance need to be addressed. While some organizations are piloting cloud computing services, widespread adoption is still 1-2 years away as only 10-30% of IT budgets are expected to be used for cloud services in the near future. Overall cloud computing has the potential to significantly change how IT services are delivered and used by businesses.
This document discusses cloud computing, including its history, types, stakeholders, advantages, architecture, and applications. Cloud computing evolved from earlier distributed computing concepts and allows users to access computing resources as needed via the internet. It offers advantages like reduced costs and maintenance for users compared to owning their own infrastructure. Popular cloud services include Amazon EC2, Google App Engine, and Windows Azure. The document also explores potential applications of cloud computing for e-governance and rural development in India.
The document provides an overview of cloud computing, including:
- Definitions of cloud computing and its key characteristics like on-demand access and resource pooling.
- The history and evolution of cloud computing from the 1960s to present day.
- The three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Benefits of cloud computing like cost reduction, flexibility, and collaboration.
- Potential limitations around reliability and control.
- Examples of how big data and cloud computing are used in areas like customer analytics, healthcare, and financial trading.
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
The document summarizes key telecom trends including the growth of connected devices and machines, big data challenges, cloud computing advances, emerging applications, and the evolution of networks towards more intelligent, automated, and distributed architectures. Major technology directions include the internet of things, content-centric networking, heterogeneous networks, virtualization, and the changing role of telecom operators.
This document provides a framework for classifying and rating IT vendors in the cloud computing environment. It begins by defining various classifications for cloud computing based on products, business type, deployment method, servicing model, and technical capabilities. It then discusses factors for rating vendors, such as corporate viability, market offerings, and customer service. Finally, it proposes using these classifications and ratings to map vendors on a "market map" to categorize them as market leaders, major players, up-and-comers, etc. based on capabilities, momentum, market share, and other parameters.
This document discusses cloud computing. It begins with an introduction defining cloud computing as allowing users to access virtually unlimited computing resources over the internet. It then discusses the architecture of cloud computing including front-end and back-end components. The main components of a cloud are infrastructure, storage, platform, applications, services, and clients. There are different types of clouds including public clouds, private clouds, and hybrid clouds that use a mix of internal and external providers. Cloud services are divided into infrastructure as a service, platform as a service, and software as a service. The document concludes with some key characteristics of cloud computing such as its cost effectiveness and features like platform and location independence.
This document provides an overview of cloud computing concepts including definitions, characteristics, service models, deployment models and examples. It defines cloud computing according to NIST as a model for enabling network access to configurable computing resources that can be provisioned with minimal management effort. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common service models are SaaS, PaaS and IaaS. Deployment models include private, public and hybrid clouds. Examples of applications and potential benefits are also provided.
There are many misconceptions surrounding Cloud Computing and what it has to offer.
Tell apart the facts from the myths with Cloud Computing Myth Busters and develop a deeper understanding of the Cloud.
Download Myth Busters >>
Cloud computing refers to flexible, on-demand access to shared computing resources via the internet. Resources such as memory, storage, and processing power can be allocated as needed without direct involvement of IT staff. This allows organizations to scale their infrastructure up or down easily based on current needs. The term "cloud" originated as a symbol used to represent the public internet in network diagrams. Moving applications and services to cloud providers over the internet is now commonly referred to as migrating to the "cloud".
The document discusses a report from the JTC 1/SWG-P on potential standardization areas related to cloud computing. It provides an overview of cloud computing concepts, types, components and related technologies. It also analyzes current standardization activities and business perspectives. The SWG-Planning recommends that JTC 1 establish a study group to understand current standardization work and explore JTC 1's potential role in developing cloud computing standards.
Imagine yourself in the world where the users of the computer of today’s internet world don’t have to run, install or store their application or data on their own computers, imagine the world where every piece of your information or data would reside on the Cloud (Internet).
In this paper we are study-ing about cloud computing, their types, need to use cloud computing. We also study the architecture of the mobile cloud computing. So we included new techniques for backup and restoring data from mobile to cloud. Here we proposed to apply some compres-sion technique while backup and restore data from Smartphone to cloud and cloud to the Smartphone.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
1. The document discusses genetic algorithms and how they can be used to solve optimization problems like the travelling salesman problem (TSP).
2. It explains key concepts like genetic operators, single and multi-objective optimization, and defines terms like local/global maxima and minima.
3. The genetic algorithm process is outlined, beginning with an initial population that undergoes selection, crossover and mutation to produce a new generation and evolve toward an optimal solution.
The document proposes a method called Page Count and Snippets Method (PCSM) to estimate semantic similarity between words using information from web search engines. PCSM uses both page counts and lexical patterns extracted from snippets to measure semantic similarity. It defines five page count-based concurrence measures and extracts lexical patterns from snippets to identify semantic relations between words. Support vector machine is used to integrate the similarity scores from page counts and snippet methods. The method is evaluated on benchmark datasets and shows improved correlation compared to existing methods.
1) A 64-bit domino logic adder was designed using a 180nm CMOS technology for energy and speed optimization.
2) The adder was implemented using 16 slices of a 4-bit carry look-ahead adder connected in a ripple carry fashion.
3) Simulation results showed the 64-bit adder had a latency of 33 clocks and average power consumption of 4.65 microwatts, providing a faster speed compared to a standard 64-bit ripple carry adder.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
The document summarizes an online business management system implemented using a hybrid cloud architecture. Key points:
1. The system uses a hybrid cloud to provide faster access to business transactions and management. This allows small, large, B2B and B2C businesses to use e-commerce for management.
2. A hybrid cloud combines internal private cloud services with external public cloud services, enhancing capabilities for secure, managed and governed cloud services.
3. The system was implemented using PHP for the application and SQL Azure for backend database connectivity. It provides modules for registration, dashboards, customer management, billing, organizing, and generating reports.
This document provides an overview of cloud computing. It begins with an abstract that discusses how cloud computing is a recent buzzword that represents the future of computing both technically and socially. It then covers various topics related to cloud computing including the basics, types of clouds, stakeholders, advantages, motivations for growth, architecture, comparisons to grid computing and utility computing, popular cloud applications and potential applications in India.
The Nist definition of cloud computing cloud computing Research PaperFaimin Khan
This document discusses cloud computing and Google App Engine. It provides an overview of cloud computing concepts like service models, deployment models, and advantages/disadvantages. It then describes Google App Engine, including why Google built it, example apps, the application environment, and architecture. The architecture uses horizontal scaling across Google data centers to isolate and share resources for multiple applications. Quotas define fixed free limits and increased billable limits for resources like storage and bandwidth.
Cloud computing offers organizations scalability, flexibility, and speed while reducing costs. However, issues around security, data privacy, and regulatory compliance need to be addressed. While some organizations are piloting cloud computing services, widespread adoption is still 1-2 years away as only 10-30% of IT budgets are expected to be used for cloud services in the near future. Overall cloud computing has the potential to significantly change how IT services are delivered and used by businesses.
This document discusses cloud computing, including its history, types, stakeholders, advantages, architecture, and applications. Cloud computing evolved from earlier distributed computing concepts and allows users to access computing resources as needed via the internet. It offers advantages like reduced costs and maintenance for users compared to owning their own infrastructure. Popular cloud services include Amazon EC2, Google App Engine, and Windows Azure. The document also explores potential applications of cloud computing for e-governance and rural development in India.
The document provides an overview of cloud computing, including:
- Definitions of cloud computing and its key characteristics like on-demand access and resource pooling.
- The history and evolution of cloud computing from the 1960s to present day.
- The three main types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Benefits of cloud computing like cost reduction, flexibility, and collaboration.
- Potential limitations around reliability and control.
- Examples of how big data and cloud computing are used in areas like customer analytics, healthcare, and financial trading.
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
The document summarizes key telecom trends including the growth of connected devices and machines, big data challenges, cloud computing advances, emerging applications, and the evolution of networks towards more intelligent, automated, and distributed architectures. Major technology directions include the internet of things, content-centric networking, heterogeneous networks, virtualization, and the changing role of telecom operators.
This document provides a framework for classifying and rating IT vendors in the cloud computing environment. It begins by defining various classifications for cloud computing based on products, business type, deployment method, servicing model, and technical capabilities. It then discusses factors for rating vendors, such as corporate viability, market offerings, and customer service. Finally, it proposes using these classifications and ratings to map vendors on a "market map" to categorize them as market leaders, major players, up-and-comers, etc. based on capabilities, momentum, market share, and other parameters.
This document discusses cloud computing. It begins with an introduction defining cloud computing as allowing users to access virtually unlimited computing resources over the internet. It then discusses the architecture of cloud computing including front-end and back-end components. The main components of a cloud are infrastructure, storage, platform, applications, services, and clients. There are different types of clouds including public clouds, private clouds, and hybrid clouds that use a mix of internal and external providers. Cloud services are divided into infrastructure as a service, platform as a service, and software as a service. The document concludes with some key characteristics of cloud computing such as its cost effectiveness and features like platform and location independence.
This document provides an overview of cloud computing concepts including definitions, characteristics, service models, deployment models and examples. It defines cloud computing according to NIST as a model for enabling network access to configurable computing resources that can be provisioned with minimal management effort. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common service models are SaaS, PaaS and IaaS. Deployment models include private, public and hybrid clouds. Examples of applications and potential benefits are also provided.
There are many misconceptions surrounding Cloud Computing and what it has to offer.
Tell apart the facts from the myths with Cloud Computing Myth Busters and develop a deeper understanding of the Cloud.
Download Myth Busters >>
Cloud computing refers to flexible, on-demand access to shared computing resources via the internet. Resources such as memory, storage, and processing power can be allocated as needed without direct involvement of IT staff. This allows organizations to scale their infrastructure up or down easily based on current needs. The term "cloud" originated as a symbol used to represent the public internet in network diagrams. Moving applications and services to cloud providers over the internet is now commonly referred to as migrating to the "cloud".
The document discusses a report from the JTC 1/SWG-P on potential standardization areas related to cloud computing. It provides an overview of cloud computing concepts, types, components and related technologies. It also analyzes current standardization activities and business perspectives. The SWG-Planning recommends that JTC 1 establish a study group to understand current standardization work and explore JTC 1's potential role in developing cloud computing standards.
Imagine yourself in the world where the users of the computer of today’s internet world don’t have to run, install or store their application or data on their own computers, imagine the world where every piece of your information or data would reside on the Cloud (Internet).
In this paper we are study-ing about cloud computing, their types, need to use cloud computing. We also study the architecture of the mobile cloud computing. So we included new techniques for backup and restoring data from mobile to cloud. Here we proposed to apply some compres-sion technique while backup and restore data from Smartphone to cloud and cloud to the Smartphone.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
1. The document discusses genetic algorithms and how they can be used to solve optimization problems like the travelling salesman problem (TSP).
2. It explains key concepts like genetic operators, single and multi-objective optimization, and defines terms like local/global maxima and minima.
3. The genetic algorithm process is outlined, beginning with an initial population that undergoes selection, crossover and mutation to produce a new generation and evolve toward an optimal solution.
The document proposes a method called Page Count and Snippets Method (PCSM) to estimate semantic similarity between words using information from web search engines. PCSM uses both page counts and lexical patterns extracted from snippets to measure semantic similarity. It defines five page count-based concurrence measures and extracts lexical patterns from snippets to identify semantic relations between words. Support vector machine is used to integrate the similarity scores from page counts and snippet methods. The method is evaluated on benchmark datasets and shows improved correlation compared to existing methods.
1) A 64-bit domino logic adder was designed using a 180nm CMOS technology for energy and speed optimization.
2) The adder was implemented using 16 slices of a 4-bit carry look-ahead adder connected in a ripple carry fashion.
3) Simulation results showed the 64-bit adder had a latency of 33 clocks and average power consumption of 4.65 microwatts, providing a faster speed compared to a standard 64-bit ripple carry adder.
1) The document describes a smart card based toll gate automated system using an 8051 microcontroller. It includes a block diagram of the system and descriptions of the main components.
2) The system uses a smart card reader interfaced to a microcontroller to read information from a smart card and deduct toll amounts. A keypad is used to enter amounts. An LCD displays statuses and prompts.
3) Simulation results show steps to create and simulate the project in Keil uVision software, including selecting device components, building the project, and adding source files.
This document summarizes a research paper that proposes a new efficient design for binary number squaring using Dwandwa Yoga logic from Vedic mathematics. The design reduces carry propagation delay compared to other multiplication algorithms. It works by calculating the square based on the "duplex" property of Dwandwa Yoga, where the square is the sum of outer pair products and inner elements squared. For a 4-bit number, it computes the square in 7 parallel steps. Simulation results show the design requires fewer logic gates and less delay compared to array and Booth multipliers. The proposed algorithm improves efficiency for applications requiring low power and area.
This document summarizes a research paper that proposes a system called Nymble to address the problem of restricting mischievous users in anonymizing networks while preserving user privacy. Key points:
1) Anonymizing networks allow anonymous access but some users misuse this for defacing websites. Servers blacklist entire networks, denying access to all users.
2) Nymble issues "nymbles" (pseudonyms) to users through a Pseudonym Manager and Nymble Manager. Servers can blacklist users by obtaining seeds to link nymbles to misbehaviors.
3) Blacklisted users are notified before using nymbles so they don't waste connections. Past connections for blacklisted users remain
This document compares the performance of three routing protocols for mobile ad hoc networks (MANETs) - DSDV, AODV, and an ant colony optimization (ACO) based protocol. It presents the results of simulations run using the NS-2 network simulator. The simulations varied the number of nodes and compared the end-to-end delay, packet delivery ratio, and packet delivery fraction of the three protocols. The results showed that as network complexity increased with more nodes, the ACO based protocol performed better than AODV and DSDV in terms of lower delay and higher delivery rates, particularly for larger network sizes.
1. The document proposes a fully distributed, peer-to-peer architecture for web crawling. The goal is to provide an efficient, decentralized system for crawling, indexing, caching and querying web pages.
2. A traditional web crawler recursively visits web pages, extracts URLs, parses pages for keywords, and visits extracted URLs. The proposed system follows this process but with a distributed, peer-to-peer architecture without a central server.
3. Each peer node includes components for crawling, indexing, and storing a local database. Peers communicate through an overlay network to distribute URLs, indexes, and search queries/results across the system in a decentralized manner.
This document describes the design and simulation of a dual band patch antenna for WLAN/WiMax applications. Three miniaturized dual band u-slot patch antenna designs are investigated that can operate in both the 2.4 GHz and 5 GHz bands. The second resonant frequency band can be shifted by varying the width of the u-slot. The antennas are simulated using Ansoft HFSS and Antenna Magus software. The antenna parameters such as input impedance, return loss, and polarization are obtained and optimized to meet design requirements.
This document discusses the impact of cloud computing on the IT industry. It begins by defining cloud computing and the various types of cloud services, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It then reviews how cloud computing transforms the IT industry by making software available as an online utility rather than installed locally. The document also examines cloud computing's ability to improve flexibility and reduce costs for IT services compared to traditional computing models. Finally, it analyzes how cloud computing architecture works by provisioning resources on-demand from large pools of virtualized hardware and software.
This document provides an overview of cloud computing. It defines cloud computing as a model for enabling ubiquitous access to shared configurable computing resources over the Internet. The document then discusses the history of cloud computing from time-sharing mainframes in the 1970s to modern cloud platforms from Amazon, Microsoft, Google, IBM and others emerging in the 2000s and 2010s. It also outlines the main service models of cloud computing including Software as a Service, Platform as a Service and Infrastructure as a Service.
The document discusses cloud computing and provides definitions and characteristics. It describes cloud computing as a technology that delivers on-demand IT resources over the internet on a pay-per-use basis. The key characteristics of cloud computing include scalability, reliability, security, flexibility, and serviceability. There are three main types of clouds based on deployment - public, private, and hybrid clouds. The document also outlines the three main service models of cloud computing - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
This document provides an overview of cloud computing, including its key characteristics, service models, deployment models, examples, advantages and limitations. Specifically, it defines cloud computing as the delivery of computing resources such as servers, storage, databases and software over the internet. It describes the main service models of software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also outlines the deployment models of public, private and hybrid clouds and discusses some advantages like scalability, cost savings and disadvantages like security issues and dependence on internet connectivity.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
The document summarizes an online business management system implemented using a hybrid cloud architecture. Key points:
1. The system uses a hybrid cloud to provide faster access to business transactions and management. This allows small, large, B2B and B2C businesses to use e-commerce for management.
2. A hybrid cloud combines internal private cloud services with external public cloud services, enhancing capabilities for secure, managed and governed cloud services.
3. The system was implemented using PHP for the application interface and SQL Azure for backend database connectivity in the cloud. This provides flexibility and supports dynamic web pages.
The document discusses cloud computing, defining it as 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. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
Cloud computing has evolved from earlier technologies like grid computing, utility computing, and software as a service (SaaS). It allows users to access computing resources like storage and applications over the internet. Key developments included private network services in the 1990s, the use of "cloud" to signify the space between companies and customers, and Amazon's introduction of web-based retail services in 2002. Technologies like virtualization and service-oriented architecture allow flexible provisioning of resources and enable the scalable, on-demand access that defines modern cloud computing.
This document provides an overview of cloud computing, including definitions of cloud computing, its history and characteristics. It discusses the types of cloud deployment models (public, private, hybrid etc.), types of cloud services (IaaS, PaaS, SaaS), common cloud applications, advantages and disadvantages. The document aims to explain what cloud computing is, how it works, why it is useful and some considerations around using cloud services.
Cloud computing has evolved from earlier technologies like grid computing, utility computing, and software-as-a-service. It allows users access to IT resources over the internet on an as-needed basis. Key developments included private network services in the 1990s, the use of "cloud" to signify the processing space between companies and customers, and Amazon's introduction of web-based retail services in 2002. Technologies like virtualization and service-oriented architecture allow cloud computing to efficiently provide flexible, on-demand access to shared computing resources and applications.
This document defines cloud computing and discusses its key technologies. It begins by defining cloud computing as the delivery of computing resources over a network. It then explains the three main cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also discusses cloud computing types, related technologies like virtualization, and the pros and cons of cloud computing.
This document is a technical seminar report on cloud computing submitted in partial fulfillment of a Bachelor of Engineering degree. It introduces cloud computing as a concept where computing resources such as servers, storage, databases and networking are provided as standardized services over the Internet. The document discusses the history, characteristics, implementation and economics of cloud computing and provides examples of major companies involved in cloud services.
This document describes implementing Software as a Service (SaaS) in a cloud computing environment. It discusses different cloud delivery models including SaaS, PaaS, and IaaS. It also covers cloud deployment models like public, private, and hybrid clouds. The document then demonstrates creating a virtual machine running Ubuntu to enable a basic calculator application as an example SaaS implementation in a cloud. It shows how to access and use the application within the virtual machine while it runs simultaneously with the host operating system.
This document provides an overview of cloud computing, including:
- Cloud computing uses central remote servers and the internet to maintain data and applications, allowing users to access files and applications from any device.
- The main advantages of cloud computing are more efficient computing through centralized resources, lower costs, flexibility, and scalability.
- The types of cloud include public, private, and hybrid clouds, with the main difference being who can access the services.
- Cloud computing delivers applications, platforms, and infrastructure as on-demand services through software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) models.
- The author
Zpryme Report on Cloud and SAS SolutionsPaula Smith
The document provides an overview of the history and development of cloud computing and software-as-a-service (SaaS) technologies and their potential benefits for utilities. It discusses how utilities initially struggled with smart grid modernization due to fragmented systems and big data challenges. The emergence of cloud hosting, SaaS and managed services has enabled even small and mid-sized utilities to realize the benefits of a fully integrated smart grid infrastructure. The document then covers key concepts around cloud computing models, virtualization, and the opportunities that SaaS and cloud-based analytics present for improved utility operations and planning.
This document discusses cloud computing and related concepts:
1. Cloud computing is a model for delivering computing resources such as hardware and software via a network. Users can access scalable resources from the cloud without knowing details of the infrastructure.
2. Technologies like virtualization, distributed storage, and broadband internet access enable cloud computing. This shifts processing to large remote data centers managed by cloud providers.
3. For service providers, cloud computing offers benefits like reduced infrastructure costs and improved efficiency. For users, it provides flexible access to resources without upfront investment or management overhead.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
2. ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology
Volume 1, Issue 1, June 2012
cloud computing on business has prompted the federal platform on which the application is running. This eliminates
United States government to look to the cloud as a means to the need to install and run the application on the cloud user's
reorganize their IT infrastructure and decrease their spending own computers simplifying maintenance and support. What
budgets. With the advent of the top government official makes a cloud application different from other applications is
mandating cloud adoption, many agencies already have at its elasticity. This can be achieved by cloning tasks onto
least one or more cloud systems online. multiple virtual machines at run-time to meet the changing
work demand. Load balancers distribute the work over the
set of virtual machines. This process is transparent to the
cloud user who sees only a single access point. To
II. CLOUD COMPUTING
accommodate a large number of cloud users, cloud
applications can be multitenant, that is, any machine serves
Cloud computing is the delivery of computing as more than one cloud user organization. It is common to refer
a service rather than a product, whereby shared resources, to special types of cloud based application software with a
software, and information are provided to computers and similar naming convention: desktop as a service, business
other devices as a utility (like the electricity grid) over process as a service, Test Environment as a
a network (typically the Internet). Cloud computing entrusts, Service, communication as a service.
typically centralized, services with your data, software, and
computation on a published application programming c) Paas ( Platform as a Service) - In the PaaS model, cloud
interface (API) over a network. It has a lot of overlap with the providers deliver a computing platform and/or solution
software as a service (SaaS).End users access cloud stack typically including operating system, programming
based applications through a web browser or a light weight language execution environment, database, and web server.
desktop or mobile app while the business software and data Application developers can develop and run their software
are stored on servers at a remote location. Cloud application solutions on a cloud platform without the cost and
providers strive to give the same or better service and complexity of buying and managing the underlying hardware
performance than if the software programs were installed and software layers. With some PaaS offers, the underlying
locally on end-user computers. compute and storage resources scale automatically to match
application demand such that the cloud user does not have to
allocate resources manually.
Cloud Service Models - Cloud computing providers offer
their services according to three fundamental
models: Infrastructure as a service (IaaS), platform as a
service PaaS), and software as a service (SaaS) where IaaS is
the most basic and each higher model abstracts from the
details of the lower models.
a) Iaas (Infrastructure as a Service)- In this most basic
cloud service model, cloud providers offer computers – as
physical or more often as virtual machines –, raw (block)
storage, firewalls, load balancer, and networks. IaaS
providers supply these resources on demand from their large
pools installed in data centers. Local area
networks including IP addresses are part of the offer. For
the wide area connectivity, the Internet can be used or -
in carrier clouds - dedicated virtual private network can be
configured.
To deploy their applications, cloud users then install
III. CLOUD COMPUTING FEATURING
operating system images on the machines as well as their
ONTOLOGY
application software. In this model, it is the cloud user who is
responsible for patching and maintaining the operating
systems and application software. Cloud providers typically In many cases, better knowledge can be more important
bill IaaS services on a utility computing basis, that is, cost for solving a task than better algorithms. To have truly
will reflect the amount of resources allocated and consumed. intelligent systems, knowledge needs to be captured,
In our Cloud based query solver system the service provided processed, reused, and communicated. Ontologies
to the students is the Iaas and Saas. It provides computer as support all these tasks.The term "Ontology" can be
virtual machines to the students and the software given as the defined as an explicit specification of conceptualization.
service is the Query solver interface with the help of which Ontology capture the structure of the domain, i.e.
the students can ask their queries to their respective Prof. conceptualization. This includes the model of the domain
b)Saas (Software as a Service) - In this model, cloud with possible restrictions. The conceptualization
providers install and operate application software in the describes knowledge about the domain, not about the
cloud and cloud users access the software from cloud clients. particular state of affairs in the domain. In other words,
The cloud users do not manage the cloud infrastructure and the conceptualization is not changing, or is changing very
120
4. ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology
Volume 1, Issue 1, June 2012
respective Professor. This will act as a virtual class 4) Database Ontology is used so that the data which is
interaction between the students and the Professor. collected is divided properly concept wise and the
The students don’t have to worry about the students just don’t have to ask the same questions
hardware and the software. Just by browsing the again and again. Ontology is a formal specification of
internet they can access the Query Solver System the shared concept.
and fire their queries same is with the Professor.
5) Iaas (Infrastructure as a Service) is provided to the
2) Infrastructure as a service offered in a dedicated students and professor which include all networking
cloud computing environment allows developers to devices and server.
entirely control the provisioning, configuration and
deployment of virtual machines. The IaaS cloud is 6) Domain wise specification of the data. Suppose 10
used for everything from building and validating students ask questions related to cloud computing
new applications to operating production domain and some ask questions regarding network
environments that require scalability. domain then the next student who asks the question in
cloud domain is directly redirected to the page that has
3) Data Storage – The students can store their data and all the data about cloud questions and answers
access their data from any location by just logging
onto ther account. This reduces the work effort of
student of carrying data from one location to A. Screen Shorts of the implemented work
another. No loss of important data as it is stored in
remote servers. Storage maintenance tasks, such as Part I – Instances generated in eucalyptus cloud
backup, data replication, and purchasing additional
storage devices are offloaded to the responsibility of 1)
a service provider, allowing organizations to focus
on their core business, but the fact stays the same
that someone has to pay for the administrative effort
for this tasks
4) Cloud based Ontology - Ontology is a formal
specification of a shared conceptualization that will
collect all the data from different departments
within the institute and will categorize the data into
a shared concept which will help in better decision
making and will generate required inferences to the
queries generally asked by the students
No of instances created
5) Domain Specific data – The questions and answers in
the database are compared thoroughly and divided 2)
domain wise. Domain wise specification of the data.
Suppose 10 students ask questions related to cloud
computing domain and some ask questions
regarding network domain then the next student
who asks the question in cloud domain is directly
redirected to the page that has all the data about
cloud questions and answers
V. IMPLEMENTED WORK
1) Designed a Query Solver System interface for the
students and professor of the educational institutes.
This query solver system was developed using
WAMP/LAMP application. Keypairs created private and public
2) Installed Eucalyptus(Iaas) cloud on the server that will
create instances of operating system through which
the interface will be provided to the students.
3) User friendly interface for the students and professor so
that the gap between them is reduced and they can
discuss any topic just by browsing the internet.
122
6. ISSN: 2278 – 1323
International Journal of Advanced Research in Computer Engineering & Technology
Volume 1, Issue 1, June 2012
3) VI .CONCLUSION
The dramatic rise in the usage of internet based services
and high end networking components led us to the
development of this application. The Cloud based Query
Solver System featuring Ontology is a application on
Cloud Computing for the students of the educational
institutes. The application performs a simple operation
with the help of which the students can ask their queries to
their Professors and can clarify their doubt. We are
providing the infrastructure as a Service(Iaas) is a service
model that delivers computer infrastructure on an
outsourced basis to support enterprise operations.
Query submission page Typically, IaaS provides hardware, storage, servers and
data center space or network components, the students
with the help of internet can just log in the Query Solver
Website which will provide hardware, storage,servers and
data storage to the students of educational institutes.We
have another application called the database ontology in
which the data which the students are dealing with get
separated into a shared Domain. That means the user/prof
need not message to the same question which was asked
earlier requesting for some information, the application
first process the users message. It then creates a log. The
message is processed and broken down according to its
semantics. The application then searches for the
4) information and replies back with the correct information
from the existing database.
Domain wise distribution using ontology VII. REFERENCES
5)
1.Daniel Nurmi, Rich Wolski, Sunil Soman and Lamia Youseff .Department
of Computer Science University of California.―The Eucalyptus Open Source
Cloud Computing System‖, IEEE Computer Society.
2. K. Adams and O. Agesen. Acomparison of software and hardware
techniques for x86 virtualization. In ASPLOSXII: Proceedings of the 12th
international conference on Architectural support for programming
languages and operating systems, pages 2–13, NewYork, NY, USA, 2006.
ACM.
3. D. GreschlerandT.Mangan. Networking lessons in delivering ’software as
Professor Login page a service’: part ii. Int.J. Netw. Manag12(6):339–345, 2002.
4. P. Laplante, J. Zhang, and J. Voas. ―What’s in a name?‖ distinguishing
The snapshots of the implementation of Cloud Based Query between saas and soa. IT Professional, 10(3):46–50, May-June 2008.
Solver system is given above. The concept of ontology is
used to divide the data in the database domain wise. The
student has to just fire a query to his professor on cloud and 5. P. Barham,B.Dragovic,K. Fraser,S.Hand,T. Harris, A.Ho,R.
Neugebauer,I. Pratt,andA.Warfield. Xen and the art of virtualization. In
the professor will reply to the query, suppose if the query has SOSP ’03: Proceedingsof the nineteenthACM symposium on Operating
already been asked then the professor need not answer the systems principles, pages 164–177, New York, NY, USA, 2003.ACM.
question, the answer will be redirected directly from the
database. 6. R. Buyya, C. S. Yeo, and S. Venugopal. Market-oriented cloud computing:
Vision, hype, and reality for delivering it services as computing utilities. In
Proceedings of the 10th IEEE International Conference on High Performance
Computing and Communications (HPCC-08, IEEE CS Press, Los Alamitos,
CA, USA) 2008.
124