This paper discusses examples of cloud computing for scientific applications, including public, private, and hybrid cloud solutions for scientists, and research into performance-improving mechanisms.
This document discusses the history and definitions of cloud computing. It begins with various definitions of cloud computing from Wikipedia between 2007-2009 which evolved to emphasize dynamically scalable virtual resources provided over the internet. It then covers common characteristics of cloud computing like multi-tenancy, location independence, pay-per-use pricing and rapid scalability. The rest of the document details cloud computing models including public, private and hybrid clouds. It also outlines the different architectural layers of cloud computing from Software as a Service to Infrastructure as a Service. The document concludes with a discussion of security issues in cloud computing and a case study of security features in Amazon Web Services.
Cloud Lock-in vs. Cloud Interoperability - Indicthreads cloud computing conf...IndicThreads
Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011.
http://CloudComputing.IndicThreads.com
Abstract:As the cloud adoption increases, there is a growing concern about the lock-in of customers into the various cloud platforms. This session will discuss various major cloud platforms, the type of lock-in the customer will face in each of these platforms and what each customer can do to minimize their lock-in.
Key takeaways for audience are:
Understand what is cloud lock-in
Types of cloud vendor lock-ins
What is cloud interoperability
Major initiatives around cloud interoperability standards
Goals, differences and players/proponents of these major standards
Steps to minimize cloud lock-in for your customers
Speaker: Ashwin Waknis is a Sr. IT professional with 15 years in the industry. Ashwin is currently head of the Cloud Professional Services Business at Persistent Systems. Before that Ashwin was a Sr. Product Manager at Cisco Systems where he lead major initiatives around Knowledge Management, Enterprise Portal, Web 2.0/Social softwares and Enterprise Search. For the last 2 years, Ashwin has been involved in Cloud Computing initiatives first at Cisco and then at Persistent Systems.Ashwin has spoken at many customer workshops and events organized for educational institutes.
The document discusses cloud computing, providing definitions and an overview of key concepts. It describes the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Examples of applications are given for each model. Advantages of cloud computing include lower costs, automatic software updates, unlimited storage, and collaboration capabilities. However, cloud computing also has disadvantages such as reliance on internet connectivity and potential security and data loss issues.
Privacy Issues in the Cloud
Presentation to the Chief Privacy Officers Council of Canada, May 4, 2010
Ponemon Institute paper at:
http://tinyurl.com/3a3pqgl
This document provides an overview of architecting applications for the AWS cloud. It discusses key AWS cloud computing attributes like scalability, on-demand provisioning, and efficiency of experts. It also outlines best practices like designing for failure, loose coupling, dynamism, and security. Specific AWS services are mapped to common application needs like compute, storage, content delivery, databases, and more. Overall the document aims to educate readers on how to leverage AWS architectural principles and services.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
“The upcoming sections cover introductory topic areas pertaining to the fundamental models used to categorize and define clouds and their most common service offerings, along with definitions of organizational roles and the specific set of characteristics that collectively distinguish a cloud.”
The document discusses cloud security and compliance. It defines cloud computing and outlines the essential characteristics and service models. It then discusses key considerations for cloud security including identity and access management, security threats and countermeasures, application security, operations and maintenance, and compliance. Chief information officer concerns around security, availability, performance and cost are also addressed.
This document discusses the history and definitions of cloud computing. It begins with various definitions of cloud computing from Wikipedia between 2007-2009 which evolved to emphasize dynamically scalable virtual resources provided over the internet. It then covers common characteristics of cloud computing like multi-tenancy, location independence, pay-per-use pricing and rapid scalability. The rest of the document details cloud computing models including public, private and hybrid clouds. It also outlines the different architectural layers of cloud computing from Software as a Service to Infrastructure as a Service. The document concludes with a discussion of security issues in cloud computing and a case study of security features in Amazon Web Services.
Cloud Lock-in vs. Cloud Interoperability - Indicthreads cloud computing conf...IndicThreads
Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011.
http://CloudComputing.IndicThreads.com
Abstract:As the cloud adoption increases, there is a growing concern about the lock-in of customers into the various cloud platforms. This session will discuss various major cloud platforms, the type of lock-in the customer will face in each of these platforms and what each customer can do to minimize their lock-in.
Key takeaways for audience are:
Understand what is cloud lock-in
Types of cloud vendor lock-ins
What is cloud interoperability
Major initiatives around cloud interoperability standards
Goals, differences and players/proponents of these major standards
Steps to minimize cloud lock-in for your customers
Speaker: Ashwin Waknis is a Sr. IT professional with 15 years in the industry. Ashwin is currently head of the Cloud Professional Services Business at Persistent Systems. Before that Ashwin was a Sr. Product Manager at Cisco Systems where he lead major initiatives around Knowledge Management, Enterprise Portal, Web 2.0/Social softwares and Enterprise Search. For the last 2 years, Ashwin has been involved in Cloud Computing initiatives first at Cisco and then at Persistent Systems.Ashwin has spoken at many customer workshops and events organized for educational institutes.
The document discusses cloud computing, providing definitions and an overview of key concepts. It describes the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Examples of applications are given for each model. Advantages of cloud computing include lower costs, automatic software updates, unlimited storage, and collaboration capabilities. However, cloud computing also has disadvantages such as reliance on internet connectivity and potential security and data loss issues.
Privacy Issues in the Cloud
Presentation to the Chief Privacy Officers Council of Canada, May 4, 2010
Ponemon Institute paper at:
http://tinyurl.com/3a3pqgl
This document provides an overview of architecting applications for the AWS cloud. It discusses key AWS cloud computing attributes like scalability, on-demand provisioning, and efficiency of experts. It also outlines best practices like designing for failure, loose coupling, dynamism, and security. Specific AWS services are mapped to common application needs like compute, storage, content delivery, databases, and more. Overall the document aims to educate readers on how to leverage AWS architectural principles and services.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
“The upcoming sections cover introductory topic areas pertaining to the fundamental models used to categorize and define clouds and their most common service offerings, along with definitions of organizational roles and the specific set of characteristics that collectively distinguish a cloud.”
The document discusses cloud security and compliance. It defines cloud computing and outlines the essential characteristics and service models. It then discusses key considerations for cloud security including identity and access management, security threats and countermeasures, application security, operations and maintenance, and compliance. Chief information officer concerns around security, availability, performance and cost are also addressed.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
A brief discussion about Cloud computing for a beginner, you can get a clear idea about cloud computing from this slides.Also, discuss cloudsim simulator.
This document discusses cloud security and provides an overview of McAfee's cloud security program. It begins with definitions of cloud computing and cloud security. It then analyzes the growth of the global cloud security market from 2012-2014. Next, it discusses McAfee's cloud security offerings, strengths, weaknesses, opportunities, threats and competitors in the cloud security space. It also provides details on some of McAfee's major customers. Finally, it discusses Netflix's move to the cloud and its cloud security strategy.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Cloud Computing :Technologies for Network-Based Systems - System Models for Distributed and Cloud Computing - Implementation Levels of Virtualization - Virtualization Structures/Tools and Mechanisms - Virtualization of CPU, Memory, and I/O Devices - Virtual Clusters and Resource Management - Virtualization for Data-Center Automation.
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.
Application Load Balancer and the integration with AutoScaling and ECS - Pop-...Amazon Web Services
- Elastic Load Balancing automatically distributes application traffic across multiple EC2 instances to improve availability and scalability.
- The Application Load Balancer provides advanced request routing features like path-based routing and integration with containers. It also offers improved security, performance, and monitoring capabilities compared to the Classic Load Balancer.
- Key components of Application Load Balancing include listeners, target groups, targets, rules, health checks, and metrics in CloudWatch. These components work together to route traffic, monitor instances, and scale capacity as needed.
Sections:
Introduction
Cloud Computing background
Securing the Cloud
Virtualization
Mobile Cloud Computing
User safety & energy consumption
Author’s proposal
Conclusion
In order to make cloud computing to be adopted by users and enterprises, security concerns of users should be rectified by making cloud environment trustworthy, discussed by Latif et al. in the assessment of cloud computing risks[2].
We address the questions related to:
security concerns and threats over general cloud computing,
(2) the solutions for these problems and
(3) mobile users safety in convergence with energy consumption.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
Cloud computing and Cloud security fundamentalsViresh Suri
This document provides an overview of cloud computing fundamentals and cloud security. It defines cloud computing and describes the different cloud service models and deployment models. It discusses the benefits of cloud computing like elastic capacity and pay as you go models. It also covers some challenges of cloud like security, reliability and lack of standards. The document then focuses on cloud security, describing common security threats, key considerations like network security, access control and monitoring for public clouds. It provides examples of security services from AWS like CloudTrail, Config, Key Management and VPC.
This presentation provides an overview of cloud computing, including:
1. Cloud computing allows on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet.
2. Key features of cloud computing include scalability, availability, agility, cost-effectiveness, and device/location independence.
3. Popular cloud storage services include Google Drive, Dropbox, and Apple iCloud which offer free basic storage with options to pay for additional storage.
Cloud computing security!
Cloud computing security or, more simply, cloud security is an evolving sub-domain of computer security, network security, and, more broadly, information security.
It refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
The document provides an overview of cloud computing, including its key concepts and components. It discusses the different deployment models (public, private, hybrid, community clouds), service models (IaaS, PaaS, SaaS), characteristics, benefits, history and evolution. Communication protocols used in cloud computing like HTTP, HTTPS and various RPC implementations are also mentioned. The role of open standards in cloud architecture including virtualization, SOA, open-source software and web services is assessed.
The document discusses cloud computing, providing an overview of what it is, its history and evolution, characteristics, components, infrastructure models, commercial offerings, advantages, and disadvantages. Specifically, cloud computing is defined as a new class of network-based computing that takes place over the Internet, allowing users to access hardware and software services remotely via the web. The cloud's flexibility, scalability, and cost benefits are highlighted, though concerns around internet dependency, limited features, and data security are also summarized.
This document provides an overview of cluster computing. It defines a cluster as a group of loosely coupled computers that work together closely to function as a single computer. Clusters improve speed and reliability over a single computer and are more cost-effective. Each node has its own operating system, memory, and sometimes file system. Programs use message passing to transfer data and execution between nodes. Clusters can provide low-cost parallel processing for applications that can be distributed. The document discusses cluster architecture, components, applications, and compares clusters to grids and cloud computing.
Supplementary presentation slides from a lecture on digital preservation given at the University of the West of England (UWE) as part of the MSc in Library and Library Management, University of the West of England, Frenchay Campus, Bristol, March 10, 2010
In the last decade, several Scientific Knowledge Graphs (SKG) were released, representing scientific knowledge in a structured, interlinked, and semantically rich manner. But, what kind of information they describe? How they have been built? What can we do with them? In this lecture, I will first provide an overview of well-known SKGs, like Microsoft Academic Graph, Dimensions, and others. Then, I will present the Academia/Industry DynAmics (AIDA) Knowledge Graph, which describes 21M publications and 8M patents according to i) the research topics drawn from the Computer Science Ontology, ii) the type of the author's affiliations (e.g, academia, industry), and iii) 66 industrial sectors (e.g., automotive, financial, energy, electronics) from the Industrial Sectors Ontology (INDUSO). Finally, I will showcase a number of tools and approaches using such SKGs, supporting researchers, companies, and policymakers in making sense of research dynamics.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
A brief discussion about Cloud computing for a beginner, you can get a clear idea about cloud computing from this slides.Also, discuss cloudsim simulator.
This document discusses cloud security and provides an overview of McAfee's cloud security program. It begins with definitions of cloud computing and cloud security. It then analyzes the growth of the global cloud security market from 2012-2014. Next, it discusses McAfee's cloud security offerings, strengths, weaknesses, opportunities, threats and competitors in the cloud security space. It also provides details on some of McAfee's major customers. Finally, it discusses Netflix's move to the cloud and its cloud security strategy.
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
Cloud Computing :Technologies for Network-Based Systems - System Models for Distributed and Cloud Computing - Implementation Levels of Virtualization - Virtualization Structures/Tools and Mechanisms - Virtualization of CPU, Memory, and I/O Devices - Virtual Clusters and Resource Management - Virtualization for Data-Center Automation.
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.
Application Load Balancer and the integration with AutoScaling and ECS - Pop-...Amazon Web Services
- Elastic Load Balancing automatically distributes application traffic across multiple EC2 instances to improve availability and scalability.
- The Application Load Balancer provides advanced request routing features like path-based routing and integration with containers. It also offers improved security, performance, and monitoring capabilities compared to the Classic Load Balancer.
- Key components of Application Load Balancing include listeners, target groups, targets, rules, health checks, and metrics in CloudWatch. These components work together to route traffic, monitor instances, and scale capacity as needed.
Sections:
Introduction
Cloud Computing background
Securing the Cloud
Virtualization
Mobile Cloud Computing
User safety & energy consumption
Author’s proposal
Conclusion
In order to make cloud computing to be adopted by users and enterprises, security concerns of users should be rectified by making cloud environment trustworthy, discussed by Latif et al. in the assessment of cloud computing risks[2].
We address the questions related to:
security concerns and threats over general cloud computing,
(2) the solutions for these problems and
(3) mobile users safety in convergence with energy consumption.
This document summarizes a seminar on key challenges in cloud computing. It introduces cloud computing and the three main types of cloud services: SaaS, PaaS, and IaaS. It discusses how cloud computing can enable future internet of services by providing on-demand access to applications, platforms, and computing infrastructure. Several issues that must be addressed to realize this vision are discussed, including deploying cloud infrastructure, managing large clouds, developing aggregation architectures, and improving security, reliability and energy efficiency. Key challenges for enabling future internet of services through cloud computing are identified as supporting application elasticity, assuring quality of service, improving scalability, reliability, privacy, security and energy management of cloud infrastructure, and enhancing cloud
Cloud computing and Cloud security fundamentalsViresh Suri
This document provides an overview of cloud computing fundamentals and cloud security. It defines cloud computing and describes the different cloud service models and deployment models. It discusses the benefits of cloud computing like elastic capacity and pay as you go models. It also covers some challenges of cloud like security, reliability and lack of standards. The document then focuses on cloud security, describing common security threats, key considerations like network security, access control and monitoring for public clouds. It provides examples of security services from AWS like CloudTrail, Config, Key Management and VPC.
This presentation provides an overview of cloud computing, including:
1. Cloud computing allows on-demand access to computing resources like servers, storage, databases, networking, software, analytics and more over the internet.
2. Key features of cloud computing include scalability, availability, agility, cost-effectiveness, and device/location independence.
3. Popular cloud storage services include Google Drive, Dropbox, and Apple iCloud which offer free basic storage with options to pay for additional storage.
Cloud computing security!
Cloud computing security or, more simply, cloud security is an evolving sub-domain of computer security, network security, and, more broadly, information security.
It refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing.
The document provides an overview of cloud computing, including its key concepts and components. It discusses the different deployment models (public, private, hybrid, community clouds), service models (IaaS, PaaS, SaaS), characteristics, benefits, history and evolution. Communication protocols used in cloud computing like HTTP, HTTPS and various RPC implementations are also mentioned. The role of open standards in cloud architecture including virtualization, SOA, open-source software and web services is assessed.
The document discusses cloud computing, providing an overview of what it is, its history and evolution, characteristics, components, infrastructure models, commercial offerings, advantages, and disadvantages. Specifically, cloud computing is defined as a new class of network-based computing that takes place over the Internet, allowing users to access hardware and software services remotely via the web. The cloud's flexibility, scalability, and cost benefits are highlighted, though concerns around internet dependency, limited features, and data security are also summarized.
This document provides an overview of cluster computing. It defines a cluster as a group of loosely coupled computers that work together closely to function as a single computer. Clusters improve speed and reliability over a single computer and are more cost-effective. Each node has its own operating system, memory, and sometimes file system. Programs use message passing to transfer data and execution between nodes. Clusters can provide low-cost parallel processing for applications that can be distributed. The document discusses cluster architecture, components, applications, and compares clusters to grids and cloud computing.
Supplementary presentation slides from a lecture on digital preservation given at the University of the West of England (UWE) as part of the MSc in Library and Library Management, University of the West of England, Frenchay Campus, Bristol, March 10, 2010
In the last decade, several Scientific Knowledge Graphs (SKG) were released, representing scientific knowledge in a structured, interlinked, and semantically rich manner. But, what kind of information they describe? How they have been built? What can we do with them? In this lecture, I will first provide an overview of well-known SKGs, like Microsoft Academic Graph, Dimensions, and others. Then, I will present the Academia/Industry DynAmics (AIDA) Knowledge Graph, which describes 21M publications and 8M patents according to i) the research topics drawn from the Computer Science Ontology, ii) the type of the author's affiliations (e.g, academia, industry), and iii) 66 industrial sectors (e.g., automotive, financial, energy, electronics) from the Industrial Sectors Ontology (INDUSO). Finally, I will showcase a number of tools and approaches using such SKGs, supporting researchers, companies, and policymakers in making sense of research dynamics.
e-Science and Technology Infrastructure for Biodiversity Research discusses e-science, which involves conducting science using vast computational resources and data over the internet. It involves areas like astronomy, biology, earth science, health, and more. Key aspects of e-infrastructure discussed are that it provides on-demand access to distributed resources like a power grid, and supports scientific discovery through computational tools. Challenges to e-infrastructure include organizational, financial, legal, and technical issues. Lifewatch is highlighted as a European e-science infrastructure for biodiversity research providing advanced capabilities for research on biodiversity systems.
Understanding the Big Picture of e-ScienceAndrew Sallans
E-science involves large-scale collaborative research enabled by new technologies like high-speed networks and cheap data storage. It produces massive amounts of complex data from areas like climate modeling, particle physics experiments, biomedical research grids, and citizen science projects. This represents a major change for research that requires new infrastructure, expertise, and approaches. Universities like UVA are responding by establishing research computing support services in their libraries to help scientists with the computational and data aspects of e-science throughout the research lifecycle.
CCCORE: Cloud Container for Collaborative Research IJECEIAES
Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.
The BlueBRIDGE approach to collaborative researchBlue BRIDGE
Gianpaolo Coro, ISTI-CNR, at BlueBRIDGE workshop on "Data Management services to support stock assessement", held during the Annual ICES Science conference 2016
This document discusses several studies on user engagement in research data curation. It finds that institutional repositories for data were developed without input from researchers, leading to systems that did not meet researchers' needs. Barriers to open data sharing included concerns over commercial use and maintaining ownership. Successful data curation requires understanding disciplinary differences and developing trusted relationships with researchers through dialogue early in projects.
Metadata and Semantics Research Conference, Manchester, UK 2015
Research Objects: why, what and how,
In practice the exchange, reuse and reproduction of scientific experiments is hard, dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: codes fork, data is updated, algorithms are revised, workflows break, service updates are released. Neither should they be viewed just as second-class artifacts tethered to publications, but the focus of research outcomes in their own right: articles clustered around datasets, methods with citation profiles. Many funders and publishers have come to acknowledge this, moving to data sharing policies and provisioning e-infrastructure platforms. Many researchers recognise the importance of working with Research Objects. The term has become widespread. However. What is a Research Object? How do you mint one, exchange one, build a platform to support one, curate one? How do we introduce them in a lightweight way that platform developers can migrate to? What is the practical impact of a Research Object Commons on training, stewardship, scholarship, sharing? How do we address the scholarly and technological debt of making and maintaining Research Objects? Are there any examples
I’ll present our practical experiences of the why, what and how of Research Objects.
This document discusses using linked data technology to solve the problem of disconnected and isolated economic and social science datasets. It proposes hosting updated versions of important historical databases as linked data in a single location. This will allow users to easily query across datasets, upload and link their own datasets, and build a large graph of interconnected public datasets. The document demonstrates some triplestore and linked data browsing tools, including a SPARQL query editor and lightweight linked data browser. It also introduces the team working on the structured datahub and linked data solutions for economic and social historians.
This document discusses the need for digital curation specialists in library settings to manage the growing volume of scholarly data and output. It recognizes that libraries have the skills and infrastructure to curate digital resources but will need new roles like digital curators, archivists, and data scientists. These roles require new training programs and concentrations in areas like data curation to develop specialists that can preserve, organize, and provide access to digital collections over the long term.
Disciplinary and institutional perspectives on digital curationMichael Day
Slides from a presentation jointly given by Alexander Ball and Michael Day of UKOLN in a panel session on Scientific Data Curation at the DigCCurr 2009 Conference, Chapel Hill, NC, USA, 2 April 2009
The Open Science Data Cloud is a hosted, managed, distributed facility that allows scientists to manage and archive medium and large datasets, provide computational resources to analyze the data, and share the data with colleagues and the public. It currently consists of 6 racks, 212 nodes, 1568 cores and 0.9 PB of storage across 4 locations with 10G networks. Projects using the Open Science Data Cloud include Bionimbus for hosting genomics data and Matsu 2 for providing flood data to disaster response teams. The goal is to build it out over the next 10 years into a small data center for science that can preserve data like libraries and museums preserve collections.
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
Integrated research data management in the Structural SciencesManjulaPatel
A presentation given by Manjula Patel (UKOLN, University of Bath) at the I2S2 workshop "Scaling Up to Integrated Research Data Management", IDCC 2010, 6th December 2010, Chicago.
http://www.ukoln.ac.uk/projects/I2S2/events/IDCC-2010-ScalingUp-Wksp/
This document discusses challenges with curating and sharing research data to support reuse. It notes that while the amount of digital research data being created is growing rapidly, current systems for preserving data are not optimally designed with input from researchers. Researchers have various concerns about openly sharing their data that need to be addressed. Studies found that engaging researchers early and building trusted relationships is important for developing effective data curation solutions tailored to different research practices and disciplines.
The document discusses knowledge graphs and their application to scholarly communication. It describes how knowledge graphs can be used to represent scholarly concepts, artifacts, and their relationships in a structured way. This facilitates intuitive exploration and question answering over the represented scholarly content. The document provides examples of how a chemistry experiment could be represented in a knowledge graph and discusses how such representations enable new ways of comparing and surveying research.
The International Journal of Database Management Systems (IJDMS) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the database management systems & its applications. The goal of this journal is to bring
together researchers and practitioners from academia and industry to focus on understanding
Modern developments in this filed, and establishing new collaborations in these areas.
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- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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.
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).