Challenges of Cloud Computing in Jordanian Govt.: Insights from Telcos

Cloud computing offers many benefits to governments, including increased efficiency, flexibility, and cost savings. However, there are also significant challenges to adopting cloud computing services. In the case of the Jordanian government, some of these challenges include concerns about data security and privacy, lack of technical expertise, limited funding and resources, and cultural resistance to change. This paper examines the challenges faced by the Jordanian government in adopting cloud computing services and evaluates their impact on government institutions. The study collected data from three local telecommunications companies in Jordan to identify potential challenges and assess their significance through a questionnaire. The results indicated challenges that negatively affected cloud adoption, including performance, usability, and cost, as well as challenges that positively impacted adoption. Maintenance and information security challenges were rated as the most significant challenges. The study recommends promoting awareness, offering training programs, and conducting feasibility studies to overcome these challenges and improve cloud adoption. Future research should expand the study sample and investigate additional challenges impacting government organizations’ adoption of cloud computing services

Safety-related challenges and opportunities for GPUs in the automotive domain

GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for correct operation under automotive's safety regulations. In this paper, we analyze some of the main challenges in hardware and software design to embrace GPUs as the reference computing solution for AD, with the emphasis in ISO 26262 functional safety requirements.Authors would like to thank Guillem Bernat from Rapita Systems for his technical feedback on this work. The research leading to this work has received funding from the European Re-search Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773). This work has also been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence. Jaume Abella has been partially supported by the Ministry of Economy and Competitiveness under Ramon y Cajal postdoctoral fellowship number RYC-2013-14717. Carles Hernández is jointly funded by the Spanish Ministry of Economy and Competitiveness and FEDER funds through grant TIN2014-60404-JIN.Peer ReviewedPostprint (author's final draft

New delivery model for non-profit organisations: shared computing services

Abstract: The current economic climate of funding stringency has intensified the need for non-profit organisations (NPOs) to find new delivery models of their services as a way of creating greater efficiencies and reducing costs. Consideration of improvement to their back-office operations is one way of addressing overheads associated with delivery functions of NPOs so that they can continue to focus on their core business activities. The overheads for back-office functions are much larger for smaller NPOs (by about 10-15 percent) than the larger ones and interest in sharing services could appeal to that sector. One approach to reduce overhead costs is for two or more NPOs to collaborate in sharing office space and office equipment and, in some instances, outsourcing some functions, for example, human resources and information technology. Currently, in New Zealand, there is very little engagement by NPOs in sharing services, particularly back office computing services. It was against this background that meetings with representatives of eight NPOs in Wellington, New Zealand, identified the challenges they were facing. These included funding, client management, compliance with reporting (financial and non-financial), financial management and control, governance, marketing and promotion and retention and management of staff and volunteers. Wellington City Council, as a significant funding agent of some local NPOs, commissioned an online survey with the aim of understanding the interest and readiness of NPOs in adopting shared computing services. The survey was developed collaboratively with the council, a computing charitable trust and a local university. The objectives of the survey were: to provide a snapshot of computing usage within the organisations, identify significant issues challenging the sector and understand their perceptions of shared computing services. The perceptions of the Wellington region NPO representatives (147 valid surveys) regarding shared services are reported in this paper. Results reveal the factors that drive the uptake of shared services within the non-profit sector, the benefits, barriers and priorities of sharing computing services and respondents’ views on their willingness to pay for a shared services arrangement. NPOs were positive regarding potential benefits of a shared services arrangement but recognised potential barriers of privacy and security, a need for contractual relationships, shared vision and compliance and standardisation. Priorities for a proposed shared services model were identified as finance and management of data and knowledge. The majority of respondents indicated they were willing to pay up to five percent of their budget for a shared services arrangement. These results provide a basis for further study as to the type of shared services model that organisations would find acceptable and render efficiencies and cost savings.Authors: Barbara Crump, Raja Peter Massey University, Wellington, New Zealand.Paper to be presented at the 7th European Conference on Information Management and Evaluation, Gdansk, 23-24 September 2013

AI-powered edge computing evolution for beyond 5G communication networks

Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.VERGE has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096034.Peer ReviewedPostprint (author's final draft

Enhancing Energy Production with Exascale HPC Methods

High Performance Computing (HPC) resources have become the key actor for achieving more ambitious challenges in many disciplines. In this step beyond, an explosion on the available parallelism and the use of special purpose processors are crucial. With such a goal, the HPC4E project applies new exascale HPC techniques to energy industry simulations, customizing them if necessary, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources. In this paper, a general overview of these methods is presented as well as some specific preliminary results.The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) under the HPC4E Project (www.hpc4e.eu), grant agreement n° 689772, the Spanish Ministry of Economy and Competitiveness under the CODEC2 project (TIN2015-63562-R), and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP). Computer time on Endeavour cluster is provided by the Intel Corporation, which enabled us to obtain the presented experimental results in uncertainty quantification in seismic imagingPostprint (author's final draft

The Next Decade of Astroinformatics and Astrostatistics

Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quality data from new telescopes, and especially with the advent of deep and large astronomical surveys, it is becoming clear that future advances will also rely heavily on how those data are analyzed and interpreted. New methodologies derived from advances in statistics, computer science, and machine learning are beginning to be employed in sophisticated investigations that are not only bringing forth new discoveries, but are placing them on a solid footing. Progress in wide-field sky surveys, interferometric imaging, precision cosmology, exoplanet detection and characterization, and many subfields of stellar, Galactic and extragalactic astronomy, has resulted in complex data analysis challenges that must be solved to perform scientific inference. Research in astrostatistics and astroinformatics will be necessary to develop the state-of-the-art methodology needed in astronomy. Overcoming these challenges requires dedicated, interdisciplinary research. We recommend: (1) increasing funding for interdisciplinary projects in astrostatistics and astroinformatics; (2) dedicating space and time at conferences for interdisciplinary research and promotion; (3) developing sustainable funding for long-term astrostatisics appointments; and (4) funding infrastructure development for data archives and archive support, state-of-the-art algorithms, and efficient computing