Conferences related to Cloud Computing

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2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

The conference aims at bringing together researchers and practitioners in the world working on trusted computing and communications, with regard to trust, security, privacy, reliability, dependability, survivability, availability, and fault tolerance aspects of computer systems and networks, and providing a forum to present and discuss emerging ideas and trends in this highly challenging research field


2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing


2018 IEEE 11th International Conference on Cloud Computing (CLOUD)

The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g., business process as a service).

  • 2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

    The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g., business process as a service).

  • 2016 IEEE 8th International Conference on Cloud Computing (CLOUD)

    The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g., business process as a service).

  • 2015 IEEE 8th International Conference on Cloud Computing (CLOUD)

    Cloud Computing has become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g., business process as a service).

  • 2014 IEEE 7th International Conference on Cloud Computing (CLOUD)

    Cloud Computing has become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g. hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g. Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g. business process as a service).

  • 2013 IEEE 6th International Conference on Cloud Computing (CLOUD)

    CLOUD 2013 is a premier international forum for researchers and practitioners to share modeling, developing, publishing, monitoring, managing, delivering XaaS (everything as a service) in the context of various types of cloud environments.

  • 2012 IEEE 5th International Conference on Cloud Computing (CLOUD)

    Modeling, developing, publishing, monitoring, managing, delivering XaaS (everything as a service) in the context of various types of cloud environments.

  • 2011 IEEE 4th International Conference on Cloud Computing (CLOUD)

    Change we are leading is the theme of CLOUD 2011. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software.

  • 2010 IEEE International Conference on Cloud Computing (CLOUD)

    The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g. hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g. Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g. business process as a service).

  • 2009 IEEE International Conference on Cloud Computing (CLOUD)

    Infrastructure Cloud Software Cloud Application Cloud Business Cloud Service-Oriented Architecture in Cloud Computing Vituralization of Hardware Resources Virtualization of Software Resources Cloud Computing Consulting Methods Design Tool for Cloud Computing Maintenance and Management of Cloud Computing Cloud Computing Architecture Cloud Applications in Vertical Industries


2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)

The symposium is the premier conference for computational medicine, providing a mechanism for the exchange of ideas and technologies between academics and industrial scientists, and attracts a worldwide audience.


2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)

The conference covers theory, design and application of computer networks and distributed systems.


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Periodicals related to Cloud Computing

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


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.


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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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A systematic review of nature inspired load balancing algorithm in heterogeneous cloud computing environment

[{u'author_order': 1, u'affiliation': u'Dept. of Computer Science, Banasthali Vidyapith, Rajasthan (India)', u'full_name': u'Pankaj Jain'}, {u'author_order': 2, u'affiliation': u'Dept. of Computer Science, Banasthali Vidyapith, Rajasthan (India)', u'full_name': u'Sanjay Kumar Sharma'}] 2017 Conference on Information and Communication Technology (CICT), None

Cloud computing is a model to handle large scale distributed and grid computing by using virtualization. It empowered the client to acquire and manage the configurable shared pool of resources by their own or with minimum interference of service provider. However, Cloud services have heterogeneous Virtual Machines (VMs), with specified configuration and oscillate resources utilization, hosted on various servers situated ...


Multi-user Multi-task Computation Offloading in Green Mobile Edge Cloud Computing

[{u'author_order': 1, u'affiliation': u'College of Computing Science and Electronic Engineering, Hunan University, Changsha, Hunan China (e-mail: chen.ava.0012@gmail.com)', u'full_name': u'Weiwei Chen'}, {u'author_order': 2, u'affiliation': u'Hunan Univresity, Changsha, Hunan China (e-mail: wangd@hnu.edu.cn)', u'full_name': u'Dong Wang'}, {u'author_order': 3, u'affiliation': u'Dept. of Computer Science, State University of New York, New Paltz, New York United States 12561 (e-mail: lik@newpaltz.edu)', u'full_name': u'Keqin Li'}] IEEE Transactions on Services Computing, None

Mobile Edge Cloud Computing (MECC) has becoming an attractive solution for augmenting the computing and storage capacity of Mobile Devices (MDs) by exploiting the available resources at the network edge. In this work, we consider computation offloading at the mobile edge cloud that is composed of a set of Wireless Devices (WDs), and each WD has an energy harvesting equipment ...


Collaborative learning: A new horizon for E-learning in Sultan Qaboos University using concepts of MOOC and cloud computing

[{u'author_order': 1, u'affiliation': u'Department of Computer Science, College of Science, Sultan Qaboos University, P.O. Box 36, Postal Code 123, Sultanate of Oman', u'full_name': u'Iman Al-Kindi'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science, College of Science, Sultan Qaboos University, P.O. Box 36, Postal Code 123, Sultanate of Oman', u'full_name': u'Zuhoor Al-Khanjari'}] 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), None

The number of students using E-learning in the universities and colleges around the world has been increasing at massive level in the past years as a result of an easy access to higher educational resources via the internet. On the contrary, the number of instructors in most universities is increasing slowly. Because of the lack of employment opportunities in relation ...


Intelligent Health Vessel ABC-DE: An Electrocardiogram Cloud Computing Service

[{u'author_order': 1, u'affiliation': u'Department of Interdisciplinary Research, Suzhou Institute of Nano-Tech and Nano-Bionics, CAS, Suzhou, Jiangsu China (e-mail: lpjin2012@sinano.ac.cn)', u'full_name': u'Linpeng Jin'}, {u'author_order': 2, u'affiliation': u'Bionice, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Shanghai, ShangHai China 215123 (e-mail: jdong2010@sinano.ac.cn)', u'full_name': u'Jun Dong'}] IEEE Transactions on Cloud Computing, None

The severe challenges of the fast aging population and the prevalence of cardiovascular diseases highlight the needs for effective solutions supporting more accurate and affordable medical diagnosis and treatment. Recent advances in cloud computing have inspired numerous designs of cloud-based health care services. In this paper, we developed a cloud-computing platform monitored by physicians, which can receive 12-lead ECG records ...


Reducing Energy Consumption with Cost Budget using Available Budget Preassignment in Heterogeneous Cloud Computing Systems

[{u'author_order': 1, u'affiliation': u'College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, Hunan 410082, China.', u'full_name': u'Yuekun Chen'}, {u'author_order': 2, u'affiliation': u'College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, Hunan 410082, China.', u'full_name': u'Guoqi Xie'}, {u'author_order': 3, u'affiliation': u'College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, Hunan 410082, China.', u'full_name': u'Renfa Li'}] IEEE Access, None

Energy consumption and cost are important factors in executing applications in grid or cloud computing systems because they directly affect resource consumption and economic benefits. This study solves the problem of reducing energy consumption of a cost budgeted directed acyclic graph (DAG) application in heterogeneous computing systems. The state-of-the-art work has studied the cost budgeted scheduling for a DAG application ...


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Educational Resources on Cloud Computing

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eLearning

No eLearning Articles are currently tagged "Cloud Computing"

IEEE-USA E-Books

  • Virtualization and Cloud Computing

    Cloud computing makes effective use of distributed environments for tackling large‐scale computation problems on vast data set. This chapter provides an overview of the architecture of cloud computing. The layering architecture of cloud computing provides more modular design compared to traditional compute model. Depending on the business model, cloud can be categorized to be private cloud, public cloud, and hybrid cloud. Virtualization is the key enabler of cloud computing. It provides the capability of sharing the server clusters as a pool of computing resources and the capability of dynamically mapping virtual resource to customers and applications. The chapter also discusses various virtualization technologies and focuses on the network virtualization. Many existing cloud platform uses virtualization to provide isolated compute resources. Host virtualizations such as containers have been extensively studied and widely deployed. From network virtualization's perspective, the traditional overlay network using encapsulation and tunneling is one type of virtual network.

  • Cloud Computing, Saas and PaaS

    This chapter contains sections titled: What is Cloud Computing? On‐Demand: Cloud Computing Infrastructure On‐Demand: Software as a Service On‐Demand: Platform as a Service

  • INTERNET OF THINGS AND CLOUD COMPUTING

    Both 'machine‐to‐machine (M2M) systems' and 'Internet of Things (loT)' are broad terms that are sometimes used interchangeably, and there is little point in debating where one ends and the other begins. Cloud computing refers to a class of on‐demand compute services available over the internet. These services include foundational offerings like computation and data storage, as well as more specialized services like machine learning and parallel data set processing. Remote monitoring represents the basic features common to most IoT solutions. Asset management builds on remote monitoring by adding capabilities of command and control to the system. In predictive maintenance scenarios, additional cloud services are added like machine learning and distributed analysis tools like Apache Hadoop; vending machines provide an excellent example of the benefits of predictive maintenance. With remote monitoring and machine learning, failure patterns can be recognized and addressed before actual failure happens, this is predictive maintenance.

  • Cloud Computing in Wireless Networks

    This chapter considers a virtualized data center (VDC) computing cloud consisting of a set of servers hosting a number of mobile terminals forming a mobile cloud, and provides the problem of optimal resource allocation in the presence of time varying workloads and uncertain channels. The channel uncertainty may be either due to fading and/or uncertain link availability and reliability in cognitive wireless networks. The servers are processing certain applications delegated to them by the terminals, for either energy saving or the lack of necessary software at the terminal to process the applications. The chapter shows that the performance of the dynamic control algorithm (DCA) is better than the performance of the STAT policy and discusses a unified approach proving the stability of the dynamic algorithm for both primary service provider (PSP) and secondary service provider (SSP) cognitive networks as well as for conventional wireless networks (CWNs).

  • Cloud Computing: A Paradigm Shift?

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

  • Types of Cloud Computing

    This chapter contains sections titled: Abstraction Levels, Deployment Models, Types of Cloud, Cloud Relationships, Cloud Cells, Cloud Cell Patterns

  • Research Topics in Cloud Computing

    The cloud computing research trends of industry and academia are determined by considering the aims and output of journals, conferences, and workshops during 2012 and 2013, white papers from major industry players in cloud computing; objectives of major cloud computing laboratories in universities; published government and industry research funding for cloud computing; and major government projects undertaken in various parts of the world.

  • Enterprise Cloud Computing Strategy and Policy

    In order for the benefits of cloud computing to be fully realized, cloud computing must first be properly integrated into the enterprise ecosystem. To achieve the benefits and desired level of success, a clear, functional and well executed strategy should be developed that enables the full potential of cloud computing to be achieved. This strategy should take a structured engineering approach, which balances four important elements: requirements, schedule, cost, and risk. When developing a strategy for implementing cloud computing across an enterprise, an organization should keep in mind that the success or failure of its integration relies on meeting the needs and desires of its potential customers. To achieve this, cloud service(s) must be implemented using a methodology that can be integrated into the given ecosystem without becoming a hindrance, and is looked upon by all parties as an opportunity.

  • 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.

  • Mobile Cloud Computing

    Mobile cloud computing (MCC) is the state of the art distributed mobile computing technology that has recently been gaining ground to augment the computational capabilities of resource-constrained mobile devices using cloud- based resources. It employs cloud-based mobile augmentation (CMA) approaches to execute resource-intensive components of mobile applications efficiently outside the device in resource-rich cloud-based computing. However, employing CMA is not a straightforward panacea and is encumbered by varied challenges, particularly long wide-area network (WAN) latency. Researchers endeavored to mitigate the impacts of this by proposing varied architectures for MCC. In this chapter, we present a comprehensive overview of MCC, and present the definition, motivation, and taxonomy of MCC building blocks, followed by a brief comparison of cloud computing and MCC. Various MCC architectures are illustrated and scrutinized. Several open challenges that require future research are also presented.



Standards related to Cloud Computing

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No standards are currently tagged "Cloud Computing"