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Amid the landscape of Cloud Computing (CC), the Cloud Datacenter (DC) stands as a conglomerate of physical servers, whose performance can be hindered by bottlenecks within the realm of proliferating CC services. A linchpin in CC's performance, the Cloud Service Broker (CSB), orchestrates DC selection. Failure to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck, endangering service quality. To tackle this, deploying an efficient CSB policy becomes imperative, optimizing DC selection to meet stringent Qualityof-Service (QoS) demands. Amidst numerous CSB policies, their implementation grapples with challenges like costs and availability. This article undertakes a holistic review of diverse CSB policies, concurrently surveying the predicaments confronted by current policies. The foremost objective is to pinpoint research gaps and remedies to invigorate future policy development. Additionally, it extensively clarifies various DC selection methodologies employed in CC, enriching practitioners and researchers alike. Employing synthetic analysis, the article systematically assesses and compares myriad DC selection techniques. These analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their needs. In summation, this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection, highlighting the imperative role of efficient CSB policies in optimizing CC performance. By emphasizing the significance of these policies and their modeling implications, the article contributes to both the general modeling discourse and its practical applications in the CC domain. [ABSTRACT FROM AUTHOR]

People born with disabilities (PWDs) face many problems because of their inability to accomplish simple daily tasks. However, the evolution of technological solutions has helped the PWDs to accomplish their tasks independently. Although a significant amount of the research work can be found on these technologies still, the authors believe that there is a lack of a rational method to quantitatively assess the solutions for their applicability to the respective impairment. In this paper, a quantitative and a qualitative assessment approach for the evaluation of the various technologies is proposed. It measures the applicability of the technological solutions for the different impairment groups. Based on the scoring model known as the multi-weighted scoring model (MWSM), the proposed evaluation approach carries out comparative judgment of clinical experts and input from PWD's using a well-defined criteria. The technique is applied to 16 research papers which are dealing with the application of technologies that assist PWDs suffering from various impairment conditions. The assessment technique has successfully identified the relevant criteria that can be used to assess technological research papers. It has also identified the research gaps which require further attention. The proposed quantitative approach can be a very useful tool to assess the applicability and the quality of the previous relevant works. [ABSTRACT FROM AUTHOR]

Vehicular Ad-hoc Networks (VANETs) are wireless communication systems that provide safer and more efficient road services. Their interesting applications attract many researchers from both academia and industry. However, their security requirements represent challenges that should be addressed before VANETs can be deployed. Although there are several surveys covering VANETs, they either do not concentrate on security issues or do not cover recent work. In this paper, we provide a complete survey on recent security-related issues in VANETs. We present VANETs' security problems and the current techniques for solving them. We discuss to what extent each technique achieves security requirements such as authentication, integrity, privacy, and revocation of misbehaving vehicles. Finally, we present security problems in VANETs that are still open for future research. [ABSTRACT FROM AUTHOR]