Conferences related to Cloud Computing

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2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

The CCGrid symposium provides a major international forum for presenting and sharing recent research accomplishments and technological developments in the field of Cluster,Cloud and Grid computing. The symposium is attended by researchers and practitioners from both industry and academia. In 2013 the conference will be held in Chicago Illinois USA.


NOMS 2014 - 2014 IEEE/IFIP Network Operations and Management Symposium

Held in even-numbered years since 1988, NOMS continues to be the primary forum for technical exchange of research, standards, development, systems integrator, service providers, and user communities, presenting the latest approaches and technical solutions in the area of network operations and management.

  • NOMS 2012 - 2012 IEEE/IFIP Network Operations and Management Symposium

    Held in even-numbered years since 1988, NOMS 2012 will follow the 24 years tradition of NOMS and IM as the primary forum for technical exchange on network management in terms of research, standards, development, systems integration, service provider, and user communities. NOMS 2012 will present up-to-date approaches and technical solutions for new management paradigms to deal with the new management issues in future infrastructures such as Web 2.0 or beyond service environments and cloud computing platform

  • NOMS 2010 - 2010 IEEE/IFIP Network Operations and Management Symposium

    Held in even-numbered years since 1988, NOMS 2010 will follow the 22 years tradition of NOMS and IM as the primary forum for technical exchange on network management in terms of research, standards, development, systems integration, service provider, and user communities. NOMS 2010 will present up-to-date approaches and technical solutions for new management paradigms to deal with the new management issues in future infrastructures such as Web 2.0 or beyond service environments, cloud computing platforms or


2013 IEEE 15th Conference on Business Informatics (CBI)

The IEEE Conference on Business Informatics seeks for methodological approaches to describe, explain, predict, and design information and communication models, architectures, and systems for the business environment. A key characteristic of business informatics research is that it considers a real-world business context in developing new theories and concepts that enable new practical applications. Thereby, business informatics research does not only extend the body of knowledge of the information society, but at the same time provides a tangible impact to industry.

  • 2012 IEEE 14th International Conference on Commerce and Enterprise Computing (CEC)

    The IEEE International Conference on Commerce and Enterprise Computing (CEC) is the premier forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in selected areas at the realm of the convergence between Business and Informatics. This convergence includes work in E-Commerce, Enterprise Computing, Technology-enabled Business Models and Transformation as well as specific Information Systems in Industries. The program of CEC 2012 will consist of invited talks, technical paper presentations, tutorials, industry sessions, workshops, and panel discussions representing both foundational contributions and applied research.

  • 2011 IEEE 13th Conference on Commerce and Enterprise Computing (CEC)

    The aim of the forum is to present and discuss the most recent innovations, trends, results, experiences and concerns in the field of E-Commerce technologies and Enterprise Computing, including Business Process Modeling and Management, Digital Ecosystems, Enterprise Architectures, Cloud Computing, and Green IT/Green Supply Chains.

  • 2010 IEEE 12th Conference on Commerce and Enterprise Computing (CEC)

    Commerce and Business System Architectures Electronic Commerce Technologies Business Process Management Business Intelligence Business Services Semantic Web and Ontological Engineering Mobile Business Applications Security and Trust Human Computer Interaction Cloud Computing Enterprise Green Computing and Energy Trading Software as a Service (SaaS)


2013 IEEE International Conference on Computer Science and Automation Engineering (CSAE)

Algorithms, Artificial Intelligence, Cloud computing, Database Technology and Data Warehousing, Grid computing, Human-Computer Interaction, Image processing and Acquisition, Information Retrieval and Web Search, Information Security, Internet and Web Applications, Knowledge Engineering and Management, Machine Learning and Knowledge Discovery, Natural Language processing, Neural Networks and Genetic Algorithms, Pattern Recognition and Analysis, Pervasive Computing, Programming Languages and Techniques, Rough and fuzzy Rough Set, Software Engineering, Automatic Control Systems, Control Theory and Control Engineering, Detection Technology and Automatic Equipment, E-Commerce and E-Government, Electric Automation, Fuzzy Control and Fuzzy System, Management Information System, Mechatronics and Robotics.

  • 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE)

    The scope of the conference includes, but not limited to Algorithms, AI, Cloud Computing, Computer Vision, Control Theory and Control Engineering, Database Technology and Data Warehousing, Distributed and Parallel Computing, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, System Engineering Theory and Practice, Video & Image Processing, etc.

  • 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE)

    The scope of the conference includes, but not limited to Algorithms, AI, Cloud Computing, Computer Vision, Control Theory and Control Engineering, Database Technology and Data Warehousing, Distributed and Parallel Computing, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, System Engineering Theory and Practice, Video & Image Processing, etc.


2013 International Conference on High Performance Computing & Simulation (HPCS)

The conference is to address, explore and exchange information on the state -of-the-art in high performance and large scale computing systems, their use in modeling and simulation and data intensive applications. Work on Clouds, Clusters and Grids are of interest as is use of special purpose hardware like GPGPU's.

  • 2012 International Conference on High Performance Computing & Simulation (HPCS)

    The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation and data intensive applications. Works on Clouds, Clusters and Grids are of interest as is use of special purpose hardware like GPGPU's.

  • 2011 International Conference on High Performance Computing & Simulation (HPCS)

    The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation and data intensive applications. Work on Clouds, Clusters and Grids are of interest as is use of special purpose hardware like GPGPU's.

  • 2010 International Conference on High Performance Computing & Simulation (HPCS)

    The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation, their design and use, and their impact. Participation is extended to researchers, designers, educators and interested parties in all related disciplines and specialties.

  • 2009 International Conference on High Performance Computing & Simulation (HPCS)

    The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation, their design and use, and their impact. Participation is extended to researchers, designers, educators and interested parties in all related disciplines and specialties. The conference will include invited presentations from experts from academia, industry, and government.


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Periodicals related to Cloud Computing

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Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Internet Computing, IEEE

IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and ...


IT Professional

This IEEE Computer Society periodical covers the many rapidly emerging issues facing information technology professionals, developers, and managers of enterprise information systems. IT Professional's coverage areas include: Web services, Internet security, data management; enterprise architectures and infrastructures; organizing and utilizing data; instituting cross-functional systems; using IT for competitive breakthroughs; integrating systems and capitalizing on IT advances; emerging technologies like electronic ...


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...


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Most published Xplore authors for Cloud Computing

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Xplore Articles related to Cloud Computing

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Let the Sun Shine

Greg Byrd Computer, 2016

Clemson University students designed an inexpensive sensor node and cloud computing infrastructure to collect real-time, localized solar irradiation data. This data can be used by consumers and utilities to predict the availability of solar-generated electricity and to manage its use.


Begin at the Beginning

Isabel Beichl Computing in Science & Engineering, 2009

CiSE was created to serve the computational science community. From its founding, it has focused on real-world applications of scientific computing, with articles written by and for active practitioners, and it will continue to serve this function. Education in computational science is a core mission for CiSE. Its feature articles are designed to inform and instruct, and various columns appearing ...


Towards a ramework for automated service negotiation in cloud computing

Li Pan 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

The on-demand service provision model in cloud computing necessitates the use of well-established service level agreements (SLA). A SLA is a part of a service contract between the consumer and provider that formally defines the level of service. In cloud computing, SLAs are necessary to control the use of computing resources. Therefore, a main issue for cloud computing is to ...


Adaptive Data Replicas Management Based on Active Data-centric Framework in Cloud Environment

Lingfeng Chen; Doan B. Hoang 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Cloud data protection is increasingly attracting researchers' attention. Cryptographic-based schemes, trust third party technologies, policy-driven frameworks, and data-policy binding mechanisms have been proposed to address data security and privacy issues from many aspects of data protection requirement. However, due to the inevitability of bugs, crashes, operator errors, hardware failure, or server misconfiguration, data availability and reliability might be still compromised. ...


Comment on “Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of Linear Equations”

Zhengjun Cao; Lihua Liu IEEE Transactions on Parallel and Distributed Systems, 2016

We remark that the Wang et al.'s scheme [IEEE Transanction Parallel Distributed Systems, 24 (6), 1172-1181, 2013] fails because the involved homomorphic encryption system is invalid in the context of the scheme. This is due to that the general arithmetic over the field $mathbb {R}$ (the outsourced linear equations are constrained to the field) is not compatible with the modular ...


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Educational Resources on Cloud Computing

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eLearning

Let the Sun Shine

Greg Byrd Computer, 2016

Clemson University students designed an inexpensive sensor node and cloud computing infrastructure to collect real-time, localized solar irradiation data. This data can be used by consumers and utilities to predict the availability of solar-generated electricity and to manage its use.


Begin at the Beginning

Isabel Beichl Computing in Science & Engineering, 2009

CiSE was created to serve the computational science community. From its founding, it has focused on real-world applications of scientific computing, with articles written by and for active practitioners, and it will continue to serve this function. Education in computational science is a core mission for CiSE. Its feature articles are designed to inform and instruct, and various columns appearing ...


Towards a ramework for automated service negotiation in cloud computing

Li Pan 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

The on-demand service provision model in cloud computing necessitates the use of well-established service level agreements (SLA). A SLA is a part of a service contract between the consumer and provider that formally defines the level of service. In cloud computing, SLAs are necessary to control the use of computing resources. Therefore, a main issue for cloud computing is to ...


Adaptive Data Replicas Management Based on Active Data-centric Framework in Cloud Environment

Lingfeng Chen; Doan B. Hoang 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Cloud data protection is increasingly attracting researchers' attention. Cryptographic-based schemes, trust third party technologies, policy-driven frameworks, and data-policy binding mechanisms have been proposed to address data security and privacy issues from many aspects of data protection requirement. However, due to the inevitability of bugs, crashes, operator errors, hardware failure, or server misconfiguration, data availability and reliability might be still compromised. ...


Comment on “Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of Linear Equations”

Zhengjun Cao; Lihua Liu IEEE Transactions on Parallel and Distributed Systems, 2016

We remark that the Wang et al.'s scheme [IEEE Transanction Parallel Distributed Systems, 24 (6), 1172-1181, 2013] fails because the involved homomorphic encryption system is invalid in the context of the scheme. This is due to that the general arithmetic over the field $mathbb {R}$ (the outsourced linear equations are constrained to the field) is not compatible with the modular ...


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IEEE-USA E-Books

  • Large-Scale Analytics in Clouds

    Big data are not new, but the tools that operate on them - big data analytics tools - are relatively new. Google is a pioneer in this area and its solutions have influenced the open-source project Hadoop. Meanwhile, several solutions have emerged, such as 100% Hadoop on clouds, Hadoop variants, and Hadoop alternatives. This chapter is an overview of Hadoop, its variants, and alternatives.

  • Cloud Programming Models (MapReduce)

    MapReduce is a leading programming model for big data analytics. It uses pure functional concepts that benefit the highest level of parallelism granularity. Programming in this model is in nonfunctional programming languages such as Java, JavaScript and C++. The programmer has to write pure functional programming (without side effects) with nonfunctional programming language. MapReduce is a simple paradigm for programming large clusters of hundreds and thousands of servers that store many terabytes and petabytes of information. This chapter provides an overview of the MapReduce programming model, its variants, and its implementation.

  • Survivability and Fault Tolerance in the Cloud

    In recent years, cloud computing has emerged as a successful model to offer computing resources in an on-demand manner for large-scale Internet services and applications. However many companies are still reluctant to embrace the cloud. This chapter provides a comprehensive study of fundamental concepts and techniques related to survivability and reliability in cloud computing environments. It first lays out key concepts of the cloud computing model and concepts related to survivability. Then it presents an overview of the outcomes of recent analyses of failures in the cloud. The chapter further reviews and discusses existing techniques aimed at improving fault tolerance and availability of cloud services. The ultimate goal is to develop a comprehensive understanding of state-of-the-art solutions for improving cloud survivability and reliability, and to provide insights into the critical challenges to be addressed in the future.

  • Cloud Computing, Contractibility, and Network Architecture

    This chapter contains sections titled: The Cloud's Need for New Network Services, Limits of the Current Architecture, Contractibility as a Potential Nonregulatory Solution, Conclusion, Acknowledgments, References

  • No title

    Cloud computing has emerged as a successful paradigm of service-oriented computing and has revolutionized the way computing infrastructure is used. This success has seen a proliferation in the number of applications that are being deployed in various cloud platforms. There has also been an increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems form a critical part of the cloud infrastructure. The attempt to address the challenges posed by the management of big data has led to a plethora of systems. This book aims to clarify some of the important concepts in the design space of scalable data management in cloud computing infrastructures. Some of the questions that this book aims to answer are: the appropriate systems for a specific set of application requirements, the research challenges in data management for the cloud, and what is novel in the cloud for database researchers? We also aim to address one basic question: whether cloud computing poses new challenges in scalable data management or it is just a reincarnation of old problems? We provide a comprehensive background study of state-of-the-art systems for scalable data management and analysis. We also identify important aspects in the design of different systems and the applicability and scope of these systems. A thorough understanding of current solutions and a precise characterization of the design space are essential for clearing the "cloudy skies of data management" and ensuring the success of DBMSs in the cloud, thus emulating the success enjoyed by relational databases in traditional enterprise settings. Table of Contents: Introduction / Distributed Data Management / Cloud Data Management: Early Trends / Transactions on Co-located Data / Transactions on Distributed Data / Multi-tenant Database Systems / Concluding Remarks

  • Developing Elastic Software for the Cloud

    Cloud computing provides great opportunities for application developers to create scalable and elastic applications in a cost-efficient manner. More specifically, well designed cloud computing services offer not only scalability and elasticity but also fault tolerance, data locality, load balancing, and pricing models associated with various QoS policies. As cloud providers take care of these non-functional concerns, the application developers can focus on the functional aspects of their applications and benefit from the power of cloud computing. From the application developer's perspective, programming models and frameworks to develop cloud applications largely depend on the layered architecture of the cloud-computing paradigm, i.e., whether the application is to be deployed on IaaS (infrastructure as a service) or PaaS (platform as a service) clouds. In this chapter, we describe Google App Engine as an example of a PaaS programming framework beside MapReduce and SALSA (Simple Actor Language System and Architecture) as examples of distributed computing frameworks available on PaaS and IaaS. To give concrete usage examples of these frameworks, we show a data analytics application using MapReduce, a Web application using Google App Engine, and a distributed computing application using SALSA respectively

  • An Introduction to Big Data

    This chapter provides an overview of big data, big data analytics, and some applications of big data analytics. It covers some big data technologies, particularly big data graph analytics and data streams. It also discusses some limitations of big data analytics.

  • Energy Consumption Optimization in Cloud Data Centers

    This chapter introduces the energy consumption of computing and communication devices, emphasizing how efficient energy consumption can be achieved, especially in communication networks. It addresses issues related to scheduling, load balancing, data replication, virtual machine placement, and networking that can be capitalized on to reduce the energy consumption in data centers. Enabling the sleep mode in idle computing servers and network hardware is the most efficient method of avoiding unnecessary power consumption. Consequently, load balancing becomes the key enabler for saving energy. Energy consumption virtualized data centers can be reduced by an appropriate decision on which physical server a virtual machine should be placed. Costs and operating expenses have become a growing concern in the cloud computing industry, with energy consumption accounting for a large percentage of the operational expenses in the data centers used as backend computing infrastructure.

  • Domains

    This chapter contains sections titled: Domains and Principles, Security, Artificial Intelligence, Cloud Computing, Big Data, Conclusion

  • Cloud Computing: A Paradigm Shift?

    This chapter contains sections titled: Social Paradigm Shift, Work Paradigm Shift, Organizational and Business Paradigm Shift



Standards related to Cloud Computing

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No standards are currently tagged "Cloud Computing"