Cloud Multi-Tenancy: Issues and Developments

Cloud Computing (CC) is a computational paradigm that provides pay-per use services to customers from a pool of networked computing resources that are provided on demand. Customers therefore does not need to worry about infrastructure or storage. Cloud Service Providers (CSP) make custom built applications available to customers online. Also, organisations and enterprises can build and deploy applications based on platforms provided by the Cloud service provider. Scalable storage and computing resources is also made available to consumers on the Clouds at a cost. Cloud Computing takes virtualization a step further through the use of virtual machines, it allows several customers share the same physical machine. In addition, it is possible for numerous customers to share applications provided by a CSP; this sharing model is known as multi-tenancy. Though Multi-tenancy has its drawbacks but however, it is highly desirable based on its cost efficiency. This paper presents the comprehensive study of existing literatures on relevant issues and development relating to cloud multitenancy using reliable methods. This study examines recent trends in the area of cloud multi-tenancy and provides a guide for future research. The analyses of this comprehensive study was based on the following questions relating to recent study in multi-tenancy which are: what is the current trend and development in cloud multi-tenancy? Existing publications were analyzed in this area including journals, conferences, white papers and publications in reputable magazines. The expected result at the end of this review is the identification of trends in cloud multi-tenancy. This will be of benefit to prospective cloud users and even cloud providers

Multi-tenant Data Management in Collaborative Zero Defect Manufacturing

[EN] This research paper describes different patterns and best practices to effectively implement multi-tenancy of production sensor data in collaborative applications. The paper explains the design considerations taken to support multi-tenancy in the Zero Defects Manufacturing Platform (ZDMP), using concrete collaborative use cases as an example. The main objective is to provide an overview of multi-tenancy as an enabler of collaborative use cases in digital manufacturing platforms, describe the different design patterns, the main trade-offs, and best practices.This work was supported in part by the European Commission under the Grant Agreement 825631. The author María Ángeles Rodríguez was supported by the Generalitat Valenciana (Conselleria de Educación, Investigación, Cultura y Deporte) under Grant-Agreement ACIF/2019/021.Fraile Gil, F.; Montalvillo, L.; Rodríguez-Sánchez, MDLÁ.; Navarro, H.; Ortiz Bas, Á. (2021). Multi-tenant Data Management in Collaborative Zero Defect Manufacturing. IEEE. 464-468. https://doi.org/10.1109/MetroInd4.0IoT51437.2021.948853446446

Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability

The fifth generation (5G) mobile telecommunication network is expected to support Multi- Access Edge Computing (MEC), which intends to distribute computation tasks and services from the central cloud to the edge clouds. Towards ultra-responsive, ultra-reliable and ultra-low-latency MEC services, the current mobile network security architecture should enable a more decentralized approach for authentication and authorization processes. This paper proposes a novel decentralized authentication architecture that supports flexible and low-cost local authentication with the awareness of context information of network elements such as user equipment and virtual network functions. Based on a Markov model for backhaul link quality, as well as a random walk mobility model with mixed mobility classes and traffic scenarios, numerical simulations have demonstrated that the proposed approach is able to achieve a flexible balance between the network operating cost and the MEC reliability.Comment: Accepted by IEEE Access on Feb. 02, 201

Black, Brown, and Powerful: Freedom Dreams in Unequal Cities

In April 2018, the Institute on Inequality and Democracy convened scholars, activists, policy advocates, community residents, and nonprofit workers to share and discuss research and action pertaining to processes of inequality in Los Angeles. We sought to shed light on the entangled structures of oppression, including urban displacement, housing precarity, racialized policing, criminal justice debt, forced labor, and the mass supervision and control of youth. Through keynote talks, group dialogue, and workshops, we analyzed how in Los Angeles, and elsewhere, black and brown communities face multiple forms of banishment and exploitation ranging from the criminalization of poverty to institutionalized theft.The question of racial banishment has been an important one for the Institute since its inauguration two years ago. This year though, amidst the troubled times of Trumpism, we wanted to shift our focus from banishment to freedom. In the reports that follow, you will find many examples of what Robin D.G. Kelley, a key presence at the Institute, has famously called “freedom dreams.” Located in, and thinking from South Central Los Angeles, the event’s participants provide insight into organizing frameworks and resistance strategies that challenge exclusion and refuse subordination. From tenant organizing to debtors’ unions, from underground scholars to educational reparations, visions of freedom abound. The Institute on Inequality and Democracy is convinced that university-based research can, and must, support such freedom dreams. Such partnership – between the public university and social justice movements – requires careful attention to the difficult task of decolonizing the university. This mandate is evident throughout this collection of reports. There is no easy alliance between academic power and banished communities; there is no obvious solidarity between urban plans and freedom dreams. This event was intended to be a step towards building such alliances, especially by reconstructing the curriculum and canon of knowledge

Understanding Equitable Assessment: How Preservice Teachers Make Meaning of DisAbility

Disproportionality of historically marginalized populations in special education continues to be a critical concern. The identification of students with disabilities is reliant on valid and reliable assessment that is free of bias. The extent to which this is possible given measurement constraints and an increasingly diverse student population is unclear. How teachers are trained to design, select, administer, score, and interpret assessment data related to the identification of students with disabilities is vastly under-researched considering the significant implications of assessment practices. In this study, six special education preservice teachers engaged in an assessment methods course during their second semester of an initial certification program. This study focuses on shifts in preservice teacher understanding and the associated learning experiences in the course. Findings from this study have the potential to inform general and special education teacher preparation coursework

Cloud e-learning for mechatronics: CLEM

his paper describes results of the CLEM project, Cloud E-learning for Mechatronics. CLEM is an example of a domain-specific cloud that is especially tuned to the needs of VET (Vocational, Education and Training) teachers. An interesting development has been the creation of remote laboratories in the cloud. Learners can access such laboratories to support their practical learning of mechatronics without the need to set up laboratories at their own institutions. The cloud infrastructure enables multiple laboratories to come together virtually to create an ecosystem for educators and learners. From such a system, educators can pick and mix materials to create suitable courses for their students and the learners can experience different types of devices and laboratories through the cloud. The paper provides an overview of this new cloud-based e-learning approach and presents the results. The paper explains how the use of cloud computing has enabled the development of a new method, showing how a holistic e-learning experience can be obtained through use of static, dynamic and interactive material together with facilities for collaboration and innovation