177 resources related to Cloud-based Infrastructure
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.
IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.
Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing
The scope of the Congress will cover all aspects of innovative services computing and applications, current and emerging. It involves various systems and networking aspects, such as cloud, edge, and Internet-of-Things (IoT), as well as other research and technologies, such as intelligent computing, learning techniques, blockchain and big data, including quality factors, such as high performance, security, privacy, dependability, trustworthiness, and cost-effectiveness.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
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.)
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 ...
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 ...
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
2015 IEEE 4th International Conference on Cloud Networking (CloudNet), 2015
Cloud-based services allow users to outsource their application and infrastructure needs over external datacenter/ networking facilities. However, as these offerings gain traction, there is a pressing need to address disaster recovery concerns, particularly for (virtual network) infrastructure services. However, only a handful of studies have looked at designing robust storage/computing/networking service interconnections for such scenarios. Moreover, these efforts have primarily ...
2013 27th International Conference on Advanced Information Networking and Applications Workshops, 2013
This paper presents on-going research to develop the Intercloud Architecture Framework (ICAF) that addresses problems in multi-provider multi-domain heterogeneous cloud based infrastructure services and applications integration and interoperability, to allow their on-demand provisioning. The paper refers to existing standards and ongoing standardisation activity in Cloud Computing, in particular, recently published NIST Cloud Computing Reference Architecture (CCRA) and ITU-T JCA-Cloud activity. ...
2015 Third International Conference on Advanced Cloud and Big Data, 2015
With the rapid advance of mobile computing technology and wireless networking, there is a significant increase of mobile subscriptions. This brings new business requirements and demands in mobile software testing, and causes new issues and challenges in mobile testing service. In this paper, informative and insightful discussions about cloud-based mobile testing-as-a-service (Mobile TaaS) are offered, including the essential concepts, focuses, ...
2016 13th International Conference on Remote Engineering and Virtual Instrumentation (REV), 2016
The design and test of Multi-Processor System-on-Chip (MPSoCs) including software is one of the biggest challenges in today's system design. This applies in particular when short time-to-market constraints impose serious limitations on the exploration of the design space. The use of virtual platforms can help in decreasing the development cycles. In this paper, we present a cloud-based environment allowing the ...
2016 International Conference on Distributed Computing in Sensor Systems (DCOSS), 2016
We argue that spectrum sensing on mobile clients will be both necessary and feasible if we wish to manage the white space spectrum optimally in indoor spaces. We demonstrate the necessity with a set of empirical measurements showing the need for fine grained sensing. We demonstrate the feasibility by building a spectrum sensing infrastructure that collects measurements from sensing devices ...
Cloud Ecosystem: A View from the IEEE Cloud Congress @ GlobeCom 2012
IEEE Top Trends for 2012 at CES: Cloud-Based Applications
Big Data & the Cloud: Privacy and Security issues
Building Fast and Reliable Services for 5G Networks with Derecho - Edward Tremel - IEEE Sarnoff Symposium, 2019
Big Data & the Cloud: The Research Agenda
Cafe: Cloud Appliances for Enterprises
Cloud Computing Potential Role in Transforming India
Cloud Computing: Sam Pitroda Speaks
Edge To Core To Cloud IoT infrastructure For Distributed Analytics - Yogev Shimony and Phil Hummel, Fog World Congress 2017
Fog Computing Manageability and Orchestration: How To Fuse Cloud, Network, and Fog - Marcelo Yannuzzi, Fog World Congress 2017
Keynote: Leslie Griffin Robertson - WIE ILC 2019
Communication: Next 20 Years Panel - Timothy Lee at INC 2019
Panel: Edge Cloud Computing, Private Networks & Slicing - B5GS 2019
WIE ILC: Exception to Expectation: Women in Engineering
Systems & Architecture: International Roadmap for Devices and Systems
IROS TV 2019- Industry 4.0: The Business of Robotics- Industrial CEO Summit Forum
Disruptive Internet of Things course, Part 4 - IEEE Smart Tech Workshop
Protecting Internet Traffic: Security Challenges and Solutions – IEEE Internet Initiative Webinar
Disruptive Internet of Things course, Part 2 - IEEE Smart Tech Workshop
Cloud-based services allow users to outsource their application and infrastructure needs over external datacenter/ networking facilities. However, as these offerings gain traction, there is a pressing need to address disaster recovery concerns, particularly for (virtual network) infrastructure services. However, only a handful of studies have looked at designing robust storage/computing/networking service interconnections for such scenarios. Moreover, these efforts have primarily focused on pre-fault protection design and not post-fault recovery. Indeed, the latter concern is of critical importance since physical repairs will likely occur in a time-staged manner. Hence this paper introduces the concept of progressive recovery for cloud- based infrastructure services and presents some of the first solutions in this space.
This paper presents on-going research to develop the Intercloud Architecture Framework (ICAF) that addresses problems in multi-provider multi-domain heterogeneous cloud based infrastructure services and applications integration and interoperability, to allow their on-demand provisioning. The paper refers to existing standards and ongoing standardisation activity in Cloud Computing, in particular, recently published NIST Cloud Computing Reference Architecture (CCRA) and ITU-T JCA-Cloud activity. The proposed ICAF defines four complementary components addressing Intercloud integration and interoperability: multi-layer Cloud Services Model that combines commonly adopted cloud service models, such as IaaS, PaaS, SaaS, in one multilayer model with corresponding inter-layer interfaces, Intercloud Control and Management Plane that supports cloud based applications interaction, Intercloud Federation Framework, and Intercloud Operations Framework. The paper briefly describes the Service delivery and lifecycle management as an important ICAF component that provides a basis for consistent management and security of the provisioned on-demand complex cloud based services. The paper describes an implementation of the Intercloud Control and Management Plane in the GEYSERS project to allow optimal provisioning of the combined Network+IT resources in the inter-cloud environment. The proposed architecture is intended to provide an architectural model for developing Intercloud middleware and in this way will facilitate clouds interoperability and integration.
With the rapid advance of mobile computing technology and wireless networking, there is a significant increase of mobile subscriptions. This brings new business requirements and demands in mobile software testing, and causes new issues and challenges in mobile testing service. In this paper, informative and insightful discussions about cloud-based mobile testing-as-a-service (Mobile TaaS) are offered, including the essential concepts, focuses, and the expected testing infrastructures. Currently, there lack of well-defined infrastructures and approaches which allow both mobile application vendors and users to access for Mobile TaaS services. A suitable testing infrastructure is required which allows end users to submit on-demand service requests for mobile TaaS resources in order to form an infrastructure for mobile testing. Therefore, this paper introduces an approach to setup an cloud-based infrastructure as a service for Mobile TaaS for addressing the major challenges faced by test engineers in testing mobile applications. Finally, the paper reports case studies to indicate the feasibility and effectiveness of the proposed approach.
The design and test of Multi-Processor System-on-Chip (MPSoCs) including software is one of the biggest challenges in today's system design. This applies in particular when short time-to-market constraints impose serious limitations on the exploration of the design space. The use of virtual platforms can help in decreasing the development cycles. In this paper, we present a cloud-based environment allowing the design of virtual platforms and prototyping of the system including complex software with prerecorded data or testbenches. Afterwards, the created design can also be synthesized for Xilinx FPGAs. Additionally, this paper presents the use of this remote virtual prototyping environment in a hardware-related programming laboratory with more than 350 participating undergraduate students. This large number of attendees leads to a lot of issues regarding the supervisory relationship as well as providing enough hardware resources in terms of boards. Nevertheless, we want to give the students hands-on experience when programming an embedded system on an FPGA-board. The cloud-based infrastructure allows us to respond to these difficulties by implementing a Software-in-the-Loop simulation based on an instruction set simulator. Doing so the students can design and implement their codes for the targeted architecture and prototype and debug it on a virtual platform. Since the course is mandatory we expect many students with limited experience about hardware-related programming. In this paper we show that especially these students will profit from the additional possibilities which are offered by a remotely available virtual prototyping platform.
We argue that spectrum sensing on mobile clients will be both necessary and feasible if we wish to manage the white space spectrum optimally in indoor spaces. We demonstrate the necessity with a set of empirical measurements showing the need for fine grained sensing. We demonstrate the feasibility by building a spectrum sensing infrastructure that collects measurements from sensing devices to analyze and better use spectrum resources. The infrastructure consists of mobile spectrum sensors that are built using DTV receiver dongles interfaced with Android-based mobile devices and a cloud- based central server to manage such sensing devices. We also show results about resource consumption (energy, network overhead) involved in operating such sensors. The vision is ultimately creating a system where mobile devices perform part-time spectrum sensing in a coordinated fashion under the control of a central spectrum manager. We lay out the research challenges based on our initial prototyping and benchmarking experience.
Companies are being required to manage and reduce their emissions to address the climate change problem. It is quite important to correctly monitor and calculate emissions from business activities for reliable emissions trading. Some programs for monitoring or calculations have been developed, but we believe that the IT system needs to manage emissions considering the entire energy management cycle, not just monitoring. We propose a Cloud-based energy management system that allows us to manage emissions according to the full cycle and output emissions reports in the XBRL format. These emissions results have been used as new evaluation indices with financial numbers. Applying XBRL to emissions reporting makes it easy to combine emissions data and financial numbers, and hence it is especially beneficial for interested third parties. We give an example of advanced analysis using emissions and financial data extracted from XBRL. Our approach can also be extended to other kinds of environmental resource management beyond emissions, such as water management.
In the major medical health-care organizations, Medical imaging play an important role to know about a patient health condition. Usually, in traditional IT health care environment, medical imaging involves a very complex and large amount of medical images (X-rays, CT/MRI scans) to be preserved, analyzed, and transferred. This Medical image data base (MIDB) management requires more technology investments and time. Cloud is the ultimate solution to minimize these costs and handles more efficiently with an acceptable level of security risk. In this paper, we are going to suggest two categories of issues related to medical image cloud, which provide right directions to an enterprise IT and cloud professionals (such as IBM, SIMENS, AMAZON, GOGRID) and medical actors (such as health professionals, hospitals, patients) to modernize computing resources and set some open conventions, those support cooperation and collaborative workflows on medical image cloud sharing. Additionally, these issues are very useful to design and develop a best fit cloud environment for the medical image cloud that allows medical actors to retrieve and review the medical images at all times from all the locations in the globe. This significantly minimizes technology costs and lead to fast and reliable patient health care management. Finally, these issues can also provide how healthcare industry can take maximum advantage of cloud computing to thrive.
Practical testing of the latest wireless communications standards requires the availability of flexible radio frequency hardware, networking and computing resources. We are providing a Cloud-based infrastructure which offers the necessary resources to carry out tests of the latest 5G standards. The testbed provides a Cloud-based Infrastructure as a Service. The research community can access hardware and software resources through a virtual platform that enables isolation and customization of experiments. In other words, researchers have control over the preferred experimental architecture and can run concurrent experiments on the same testbed. This paper introduces the resources that can be used to develop 5G testbeds and experiments.
With all the hype surrounding Cloud computing and cloud-based services, this study puts it to the test. This paper describes an in-depth case study of a micro-enterprise that utilized a cloud infrastructure to adopt technology. The contribution from this study is two-fold: one from the perspective of cloud- based services and how easily and effectively they may be incorporated into the business, and the second contribution is from a small business assistance program perspective in how such an infrastructure may be used to efficiently help businesses with technology. Prior research has shown that when small firms are able to adopt and use Information technology, they can grow faster than firms that don't adopt technology. A major obstacle to the cause is their inability to utilize technology to its full capability. Findings from the case study shed insight for researchers and practitioners involved in using IT to assist microenterprises in underserved regions.
The independently development of information system in a big organization which has many departments or subdepartments such as university has big problems on data exchange, duplication and consistency. Each application system architecture is increasingly incompatible when organization is growing while requires more availability, reliability, scalability for massive data and flexibility for many new requirements. In this paper, we design the unified cloud-based data structure and API for centralized applications data structure. The designed system is divided into 3 layers, storage, programmer and application layers for complexity isolation on cloud-based infrastructure. The paper discusses overall designed system architecture, the proposed Object- oriented data model and tree-based structure for hierarchically object relations. All applications storing and processing data on cloud-based infrastructure are interfaced by the REST-style API standard, which flexible for many languages and platforms. The data processing performance test results show stability and scalability of our system.
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