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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Xplore Articles related to Cloud Computing

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Virtualization approach to reduce network latency for thin client performance optimization in cloud computing environment

Sumita U. Sharma; Y. B. Gandole 2014 International Conference on Computer Communication and Informatics, 2014

Thin Clients with Virtual Desktops prove to be the best equipments to access the online services provided by the cloud over the internet. Some of the proven benefits of thin clients are lower cost of ownership and very less power consumption which supports to Green Computing. The ability of thin client can be increased by reducing network latency to improve ...


Cloud computing system for small and medium corporations

E. Chovancová; L. Vokorokos; M. Chovanec 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2015

Cloud computing is a highly discussed topic in the world of IT. The rapid development of cloud computing and the growing interest of companies in it is evident everywhere in the world. This paper handle about using services through the Internet by a small and medium businesses based on cloud computing. First part of paper is focused on cloud computing ...


Testing Cloud Benchmark Scalability with Cassandra

Veronika Abramova; Jorge Bernardino; Pedro Furtado 2014 IEEE World Congress on Services, 2014

NoSQL databases were developed as highly scalable databases that allow easy data distribution over a number of servers. With the increased interest of researchers and companies in non-relational technology, NoSQL databases became widely used and a common belief emerged defending that those engines scale well. This means that the use of more nodes would result in reduced execution time of ...


MSATS: Multilingual sentiment analysis via text summarization

Rupal Bhargava; Yashvardhan Sharma 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, 2017

Sentiment Analysis has been a keen research area for past few years. Though much of the exploration that has been done supports English language only. This paper proposes a method using which one can analyze different languages to find sentiments in them and perform sentiment analysis. The method leverages different techniques of machine learning to analyze the text. Machine translation ...


Towards a legislation driven framework for access control and privacy protection in public cloud

Maherzia Belaazi; Hanen Boussi Rahmouni; Adel Bouhoula 2014 11th International Conference on Security and Cryptography (SECRYPT), 2014

Cloud computing is an emerging IT paradigm proving cost reduction and flexibility benefits. However security and privacy are serious issues challenging its adoption and sustainability in both social and commercial areas. Public clouds, in particular, present a controversial which is brought up by the need to exchange critical and protected data (even sensitive) between heterogeneous domains that are governed by ...


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Educational Resources on Cloud Computing

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eLearning

Virtualization approach to reduce network latency for thin client performance optimization in cloud computing environment

Sumita U. Sharma; Y. B. Gandole 2014 International Conference on Computer Communication and Informatics, 2014

Thin Clients with Virtual Desktops prove to be the best equipments to access the online services provided by the cloud over the internet. Some of the proven benefits of thin clients are lower cost of ownership and very less power consumption which supports to Green Computing. The ability of thin client can be increased by reducing network latency to improve ...


Cloud computing system for small and medium corporations

E. Chovancová; L. Vokorokos; M. Chovanec 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2015

Cloud computing is a highly discussed topic in the world of IT. The rapid development of cloud computing and the growing interest of companies in it is evident everywhere in the world. This paper handle about using services through the Internet by a small and medium businesses based on cloud computing. First part of paper is focused on cloud computing ...


Testing Cloud Benchmark Scalability with Cassandra

Veronika Abramova; Jorge Bernardino; Pedro Furtado 2014 IEEE World Congress on Services, 2014

NoSQL databases were developed as highly scalable databases that allow easy data distribution over a number of servers. With the increased interest of researchers and companies in non-relational technology, NoSQL databases became widely used and a common belief emerged defending that those engines scale well. This means that the use of more nodes would result in reduced execution time of ...


MSATS: Multilingual sentiment analysis via text summarization

Rupal Bhargava; Yashvardhan Sharma 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, 2017

Sentiment Analysis has been a keen research area for past few years. Though much of the exploration that has been done supports English language only. This paper proposes a method using which one can analyze different languages to find sentiments in them and perform sentiment analysis. The method leverages different techniques of machine learning to analyze the text. Machine translation ...


Towards a legislation driven framework for access control and privacy protection in public cloud

Maherzia Belaazi; Hanen Boussi Rahmouni; Adel Bouhoula 2014 11th International Conference on Security and Cryptography (SECRYPT), 2014

Cloud computing is an emerging IT paradigm proving cost reduction and flexibility benefits. However security and privacy are serious issues challenging its adoption and sustainability in both social and commercial areas. Public clouds, in particular, present a controversial which is brought up by the need to exchange critical and protected data (even sensitive) between heterogeneous domains that are governed by ...


More eLearning Resources

IEEE-USA E-Books

  • Electric Power Generation as Cloud Infrastructure Analog

    Production of electric power via thermal power plants is very mature while production of virtual compute, memory, storage, and networking resources to serve applications via cloud infrastructure is still rapidly evolving. There are fundamental similarities between these two apparently different businesses that afford useful insights into how the infrastructure service provider operational practices are likely to mature. This chapter considers parallels and useful insights between electric power generation via thermal generating systems and cloud computing infrastructure. It also discusses several insightful similarities between electricity market and grid operations and cloud infrastructure. The power industry has sophisticated notions of capacity ratings, locational considerations, service curtailment, and demand management which have applicability to cloud computing. The power industry actively balances electricity generation with demand across time and space via sophisticated unit commitment and economic dispatch systems, processes and policies, including day-ahead commitment plans, and 5 minute load following economic dispatch.

  • Distributed Access Control in Cloud Computing Systems

    With the tremendous increase in the number of distributed applications, the issue of distributed access control has become an important research topic for both academia and industry. In distributed computing environments like cloud computing or service computing, authentication and authorization are the two important functions to be performed, to make sure that unauthorized users do not access distributed system components. An effective access control mechanism is an essential security component as far as protecting the confidentiality, integrity, and availability (CIA) of information hosted in the cloud is concerned. An effective access control mechanism implemented in the cloud domain should be scalable, reliable, and robust and it should provide required features and procedures for identity provisioning, deprovisioning, authentication, authorization, accounting, and auditing. In this chapter, we discuss the issue of distributed access control, major features and functionalities, access control policies and models, distributed access control architecture for multicloud environments, trust, and identity management in cloud computing environments. Related work shows some of the major research activities in the area of distributed access control considering the advantages and disadvantages of the approaches that have been adopted. We conclude this chapter by discussing a few research issues in the area of distributed access control in the cloud environment.

  • Lean Reserves

    This chapter discusses the types, uses and limitations of both physical and virtual resource reserves in the context of cloud computing. Reserve capacity is an increment of capacity above the forecast working capacity that is held online to mitigate risks to assure that user demand can be served with acceptable latency and overall quality. Reserve capacity should be significantly greater than peak demand to mitigate the risk of failures, extreme surges in demand, and so on. Reserve capacity is typically expressed as a percentage of capacity above forecast mean demand. Reserve capacity is used to mitigate an ensemble of unforeseen circumstances including random demand peaks, component or resource failure, infrastructure element failure, infrastructure resource curtailment or demand management action, demand exceeding forecast, lead time demand and catastrophic failures and force majeure events. The ideal level of reserve capacity is considered separately as normal reserve and emergency reserve.

  • Cloud Service Level Agreement

    The services offered by cloud providers are typically accompanied by a service-level agreement (SLA), which defines the expectations between a cloud provider and a cloud consumer. When choosing one or more cloud-based services offered by cloud providers, a cloud consumer needs to ascertain that the SLA of these services meets its business objectives. Due to the lack of standardization and the rapidly evolving nature of cloud-based services, it is difficult for a cloud consumer to evaluate the SLAs of cloud-based services. In this chapter, we provide a brief overview of entities involved in cloud- based services from an SLA perspective. We describe the typical elements of a cloud SLA with detailed examples, which can help a cloud consumer in systematically evaluating SLAs of cloud-based services. We then give an overview of SLAs of well-known public cloud providers, and discuss future directions in SLAs of cloud-based services.

  • Front Matter

    The prelims comprise: Half-Title Page Title Page Copyright Page Editorial Advisory Board Table of Contents About the Editors About the Authors Reviewers Foreword Preface Acknowledgments

  • Lean Infrastructure Commitment

    Even with aggressive demand management, there will inevitably be cycles of aggregate infrastructure demand that increase and decrease by time of day and day of the week. Clever infrastructure management enables the infrastructure service provider to power off excess equipment as aggregate demand decreases, and then power equipment back on as aggregate demand increases. This chapter explains unit commitment and infrastructure commitment, framing the unit commitment problem, framing the infrastructure commitment problem, understanding element startup time, and understanding element shutdown time. Infrastructure commitment optimization principles can usefully be adapted from the power industry to optimize power management of cloud service providers physical infrastructure capacity to achieve the goal of lean cloud computing: sustainably achieve the shortest lead time, best quality and value, highest customer delight at the lowest cost, as well as reducing electricity consumption and hence carbon footprint.

  • Automatic Provisioning of Intercloud Resources driven by Nonfunctional Requirements of Applications

    Cloud computing, especially infrastructure-as-a-service (IaaS), allows system administrators to obtain computing and storage resources instantly and easily without up-front costs. As a result, their job of purchasing new hardware and install it in a server room is replaced by simply browsing the web sites of cloud providers and choosing the right option. However, it is complex and challenging task for system administrators to decide the appropriate type of virtual machine (VM), offering sufficient resources for the application. Finding the best provider among an explosively increasing number of cloud providers is hard labor. In this chapter, we propose an automatic system that performs provisioning on public clouds based on the nonfunctional requirements of applications. It translates the high-level nonfunctional requirements from administrators into VM resource parameters, selects the most adequate type of VM and the provider, and allocates actual VMs from the selected provider. The prototype shows that the system is effective in receiving nonfunctional requirements and provisioning resources on different cloud providers based on such requirements.

  • Recommendations for Architecting a Reliable System

    This chapter contains sections titled: Architecting for Virtualization and Cloud Disaster Recovery IT Service Management Considerations Many Distributed Clouds versus Fewer Huge Clouds Minimizing Hardware-Attributed Downtime Architectural Optimizations

  • Cloud Computing

    Cloud computing is a radical new IT delivery and business model. Users can use cloud services when and where they need them and in the amount they need them, and pay only for the resources used. It offers huge computing power, on-demand scalability, and utility-like availability at low cost. In this chapter, we present an overview of cloud computing concepts, cloud services, cloud-hosting models, and cloud applications. We also outline the benefits and limitations of cloud computing, identify potential risks and discuss the prospects for the cloud and what businesses and individuals can do to successfully embrace cloud computing. Finally, we discuss clouds prospects and implications for businesses and IT professionals.

  • Big Data in a Cloud

    This chapter focuses on big data in a cloud. It begins with an overview of NoSQL databases. Then it discusses an analytic cloud and how that contrasts with a utility cloud. Finally, it focuses on running big data analytics in a virtualized environment (i.e., on a utility cloud), exploring some of the advantages and disadvantages of that, and going into some detail regarding the most popular of these: Amazon's Elastic MapReduce service. Suggested prerequisites for this chapter are Chapter 44 and Chapter 48.



Standards related to Cloud Computing

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Jobs related to Cloud Computing

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