Reviewerly/exHarmony huggingface dataset:
Reducing The Virtual Memory Overhead in Nested Virtualization

Virtualization has become a critical aspect of modern computing, and with the advent of virtualization-based containers, fast nested virtualization has become increasingly important. Nested virtualization is implemented by emulating virtualization capabilities to the guest host which can result in significant overhead. Another source of overheads in virtualization stems from the address translation mechanisms employed to implement virtualization, which usually causes a mix of slower address translation, frequently trapping guests, and loss of granularity in page tables. Our research focuses on using guest-managed physical memory with the use of per-VM memory tags for checking each VMs' access permissions.
CCO - Cloud Cost Optimizer

Cloud computing can be complex, but optimal management of it doesn't have to be. In this paper, we present the design and implementation of a scalable multi-Cloud Cost Optimizer (CCO) that calculates the optimal deployment scheme for a given workload on public or hybrid clouds. The goal of CCO is to reduce monetary costs while taking into account the specifications of the workload, including resource requirements and constraints. By using a combination of meta-heuristics, CCO addresses the combinatorial complexity of the problem and currently supports AWS and Azure. The CCO tool [1], can be accessed through a web UI or API and supports on-demand and spot instances. For broad discussion refer to [2].
Fuzzing LibraryOSes for Iago vulnerabilities

We present a new fuzzing approach for Iago vulnerabilities in Library OSes for SGX enclaves. Based on the filesystem model, it allows efficiently combining valid and malicious values to reach deeper paths in LibraryOS to identify more potential security vulnerabilities.
Towards Less Operating System Noise: An Approach with Data Processing Unit

High performance computing (HPC) cloud, which is a fusion of HPC and cloud, is receiving much attention due to growing demand for large-scale computing. The HPC cloud is targeted for running HPC-derived applications, but it requires solving an HPC-specific challenge, namely operating system (OS) noise. Herein, we focus on the OS noise caused by asynchronous I/O processing and propose offloading it to data processing unit (DPU).
Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud

Public cloud providers offer a diverse collection of storage types and configurations with different costs and performance SLAs. As a consequence, it is difficult to select the most cost-efficient allocations for storage backends, while satisfying a given workload's performance requirements, when moving data-heavy applications to the cloud. We present Mimir, a tool for automatically finding a cost-efficient virtual storage cluster configuration for a customer's storage workload and performance requirements. Importantly, Mimir considers all block storage types and configurations, and even heterogeneous mixes of them. In our experiments, compared to state-of-the-art approaches that consider only one storage type, Mimir finds configurations that reduce cost by up to 81% for real-application-based key-value store workloads.
F3: Serving Files Efficiently in Serverless Computing

Serverless platforms offer on-demand computation and represent a significant shift from previous platforms that typically required resources to be pre-allocated (e.g., virtual machines). As serverless platforms have evolved, they have become suitable for a much wider range of applications than their original use cases. However, storage access remains a pain point that holds serverless back from becoming a completely generic computation platform.
Near-Memory Processing Offload to Remote (Persistent) Memory

Traditional Von Neumann computing architectures are struggling to keep up with the rapidly growing demand for scale, performance, power-efficiency and memory capacity. One promising approach to this challenge is Remote Memory, in which the memory is over RDMA fabric [1]. We enhance the remote memory architecture with Near Memory Processing (NMP), a capability that offloads particular compute tasks from the client to the server side as illustrated in Figure 1. Similar motivation drove IBM to offload object processing to their remote KV storage [2].
Analyzing large-scale genomic data with cloud data lakes

In recent years there is huge influx of genomic data and a growing need for its analysis, yet existing genomic databases do not allow easy accessibility. We developed a pipeline that continuously pre-processes raw human genetic data. The data is then stored in a cloud data lake and can be accessed via a simple and intuitive web service and API.
Histopathology reporting: lessons from clinical practice

<h2>Abstract</h2> There are significant differences between histopathological and clinical practice. Implementing some clinical management principles could help optimise the use of limited histopathology resources. Like clinicians, pathologists should adopt a more personalised approach based on the clinical context of each case. Specimens could be categorised as diagnostic, prognostic or therapeutic; extensive work-up may be unnecessary for therapeutic specimens. Awareness of how histopathology data is used to guide patient management can enable focussing of resources towards collection of clinically useful data. Clinical decisions regarding investigations and treatment often involve a cost-benefit analysis. Pathologists should similarly consider whether novel technologies represent "value for money". Clinicians generally categorise cancer patients into prognostic risk groups. It may not be cost-effective to spend histopathology resources to accurately collect additional adverse prognostic data in a patient who is already in the highest risk group. Cancer outcomes have been improved by a specialist model of clinical care. Greater subspecialisation of histopathology services could lead to more effective use of limited manpower resources. Trainees and health care systems could benefit if the former were given more responsibility earlier in their career. Pathologists should liaise closely with their clinical colleagues, particularly when dealing with complex cases. In-person attendance at multidisciplinary team meetings could help pathologists communicate more effectively with the clinical team.
PORTRAIT OF A RAPW PARTICIPANT: THE EXPERIENCE OF STUDYING QUESTIONNAIRES FILLED OUT BY MEMBERS OF ASSOCIATIONS OF PROLETARIAN WRITERS

Within the framework of the writer associations’ archives digitization project ‘Transcript’: Politics and Literature. The Digital Archive of Literary Organizations of the 1920s-1930s a significant array of questionnaires of proletarian writers was studied. The source is stored in the Department of Manuscripts of A.M. Gorky Institute of World Literature of the Russian Academy of Sciences. At the moment, the project executors have digitized the questionnaires filled out by members of the Moscow Association of Proletarian Writers (MAPW), All-Russian Association of Proletarian Writers (RAPW), All-Soviet Association of Proletarian Writers (SAPW), Russian Association of Proletarian Writers (RAPW) and presented on the project’s website. The documents from RAPW fund were allocated separately. We have found information about the delegates of the First Congress of Proletarian Writers, held from April 28 to May 8, 1928 in Moscow. While analyzing the questionnaires, valuable information about the biographies and works of writers whose names were not included in encyclopedias and reference books was obtained. In terms of the sociology of the literary process the answers given by the respondents indicate important characteristics of those who had to build the culture of the socialism country. These questionnaires form the Big Data, representing the ‘average’ biography of the proletarian writer, the main actor of the literary process of 1920-1930. The generalized characteristic brings out specific features of the mass literature phenomenon in the context of the Soviet project, which was implemented by the proletarian literary associations. The statistical data open up prospects for further research of literary processes of this period in the anthropology field. The analyzing of the sources stored in the funds of proletarian writers’ associations will allow not only to see the actor of the literary process, but also to get closer to understanding the mass writer and mass literature of the Soviet era phenomenon.
TRANSCRIPTS AND AROUND THEM: FROM THE EXPERIENCE OF WORK ON CREATING A DIGITAL ARCHIVE OF DOCUMENTS STORED IN THE MANUSCRIPTS DEPARTMENT OF THE IWL RAS

The article presents the results of work on the accessible archive of documents of literary institutes of the 1920-1930s, created by a research group from the A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, within the framework of the Russian Science Foundation (RSF) project ‘Transcript’: Politics and Literature. Digital Archive of Literary Organizations of the 1920s-1930s (Project 20-18-00394). The archive will present to the vast scientific community documents from one of the most intense periods in the history of Soviet literature, which have never been published in such volumes - transcripts of MAPP, VAPP, RAPP and WOAPP conferences, plenums, the secretariat, fractions, etc.. The article explains the need to accompany digital documents in the Internet archive with a scientific apparatus, similarly to the academic archival publications of the IWL RAS and IRL RAS; the choice of such structural elements of the commentary accompanying the transcript as an index of names, agenda, keywords is motivated, and the problems associated with them are described: a large amount of material that required processing, errors in surnames, an abundance of forgotten surnames mentioned in documents, etc. One of the solutions found for working on the index is the digitization and decoding of an additional block of materials - questionnaires of writers, members of proletarian associations. The digital archive in the Transcript at this stage has by no means exhausted all the possibilities for development: a number of transcripts of thematic meetings, as well as numerous copies of speeches with corrections, remained outside the project. Protocols, transcripts from other literary archives could become the most important addition. The implementation of the project was accompanied by serious research work of the participants - articles were written on the materials of the digital archive, introducing new materials into circulation.
SimCost: cost-effective resource provision prediction and recommendation for spark workloads

Abstract Spark is one of the most popular big data analytical platforms. To save time, achieve high resource utilization, and remain cost-effective for Spark jobs, it is challenging but imperative for data scientists to configure suitable resource portions.In this paper, we investigate the proper parameter values that meet workloads’ performance requirements with minimized resource cost and resource utilization time. We propose SimCost , a simulation-based cost model, to predict the performance of jobs accurately. We achieve low-cost training by taking advantage of simulation framework , i.e., Monte Carlo simulation, which uses a small amount of data and resources to make a reliable prediction for larger datasets and clusters. Our method’s salient feature is that it allows us to invest low training costs while obtaining an accurate prediction. Through empirical experiments with 12 benchmark workloads, we show that the cost model yields less than 5% error on average prediction accuracy, and the recommendation achieves up to 6x resource cost saving.
File Storage System using Hybrid Cryptography Cloud Computing

The main aim of this project is to store the info fata securely on the cloud storage, by splitting the information in small different chunks of data and storing those parts of data on cloud in such a way that preserves data integrity, confidentiality and ensures availability. The use of cloud computing is increasing in so many organizations and Information technology industries are providing new software’s with low cost. Cloud computing is helpful in terms of low cost and accessibility of information. Cloud computing provides lot of features with low cost and of knowledge accessibility by using Internet. To ensure that data is protected, cloud computing plays a major role, as the users usually store their important information on the cloud, and these providers are also unknown and untrusted. So, the most difficult issue is to share the data in secure way while preserving that information from any untrusted cloud. this approach ensures that protection and privacy of users important information by storing the client’s data on any single cloud storage.
FEATURES OF THE USE OF PERSONAL AND DEICTIC PRONOUNS IN COMEDIES OF ITALIAN AUTHORS OF THE 16th CENTURY

The article is devoted to the functioning of personal and deictic pronouns in comedies of Italian authors of the 16th century. It is believed that main changes in comparison with the italiano standard that have occurred at the present stage of language development concern the system of pronouns. However, when analyzing comedies of natives of the central, northern and southern regions, phenomena characteristic of the current stage of the development of the Italian language and considered innovative were found: the use of pronouns lui, lei and loro in the syntactic functions of the subject; double dative; simplification of the threepart system of demonstrative pronouns; the spread of truncated forms sto and sta and some others. The revealed contexts give reason to think that the Italian language at present time does not develop unprecedented phenomena, but rather undergoes a process of restandardization, in which oral and written speech converge and features that were previously characteristic exclusively of informal communication are normalized. The dialect has a substrate effect on the Italian language not only in synchrony, but also in diachrony.
Security maturity is a journey, not a destination

It's unlikely you will ever reach a stage of complete ‘security maturity’. Even as your systems, processes and skills improve, the goal posts are being shifted by innovative attackers and fresh vulnerabilities. But that's not a reason to give up on security maturity – shooting for that goal will still leave you better off.
Normalising radical transparency in cyber security

All organisations are under cyber attack and many are breached each day. And given that there's a high likelihood that you will suffer a cyber incident, the question then becomes what do you do about it? Communication – to staff, investors and the public – is a critical step and a high level of transparency here is key to enabling everyone to respond appropriately and effectively.
Hegemonising Post-Humanism and the Future of Education

The distinguished feature of the third millennium is augmenting and endorsing the use of digitalised tools until they have controlled our everyday style-of-living and, in some way or another, turned it into a digital one. Literally, smart gadgets have bugged humanity; they have become indispensable. Furthermore, it is commonly believed that life is impossible without them. Smart phones that have facilitated human access into the cyberspace have also paved the way to willing absorption into virtual realms to the extent that they have become the gateway to effective interaction with life and with peer human beings. By all means, technology is similar to an over-sweeping tide; technological advancements are numberless and immensely growing to the extent that it looks as if there would be a special technological innovation for each living soul. If few years ago educators were discussing the problems of integrating technology into classrooms and the issues of training educators to adapt to the new trends, the current problem would be how to make benefit of the available AI technologies instead of denouncing them as means of ruining the education process. The greatest challenge that educators will shortly encounter is ChatGPT and Google Bard because they would ruin the zeal for proper understanding and any exerted effort for researching. As for the Cyberlife Androids, they are the principal future competitors for educators. Remarkably, if it is alleged that the task of the Cyberlife Androids with students will never be easy, it should be considered that they are designed to win. Yet, the greatest obstacle is Elon Musk’s Neuralink brain microchip and the Chinese Brain Talker implants. Brain microchip technology is expected to be an ipso facto by the few upcoming years; it would be as vital as smart phones. Education in a post-human era is a challenging mission. Accordingly, the task of educators will never be easy. They should be well-prepared for their mission or they would be replaced by digital versions sooner than expected. Thus, the article sheds light upon the post-human era with its technological advancements that have a profound impact upon humanity. It also attempts to propose a preemptive approach to deal with these inevitable technological leaps that might convert humans into cyborgs lacking proper cognitive knowledge, knowing that technological advancements are turning into an insurmountable dilemma that require special measures. The article also endeavours to envisage a friendly techno-human relationship that would better control the fall into a post-human space.
Homomorphic additive lightweight block cipher scheme for securing IoT applications

Recent emerging systems and applications may be able to process encrypted data to preserve user privacy. However, designing an efficient Homomorphic Encryption (HE) algorithm that can achieve good performance and robustness against attacks is primordial to better respond to real-time requirements and tiny devices. Unfortunately, existing homomorphic asymmetric schemes suffer from high computational complexity, storage, and communication overhead. On the other hand, homomorphic symmetric approaches suffer from a low level of security, and a big majority of them suffer from weaknesses in defending against known plain-text/cipher-text attacks. In this paper, an efficient symmetric homomorphic block cipher scheme is proposed to allow the performing of addition and average operations over cipher-texts. It defines a simple round function that should be iterated for nr≥2 iterations. Moreover, the dynamic key approach is used in this solution to reach a high level of security. To the best of our knowledge, it is a new symmetric additive homomorphic block cipher structure, and it defines three novel variants of addition round keys and two novel variants of the diffusion matrix. Furthermore, the proposed solution is analyzed in detail and evaluated in terms of security and performance levels. In comparison with well-known asymmetric additive HE schemes such as Paillier, BGN (Boneh, Goh, Nissim), BCP (Bresson, Catalano, Pointcheval), and ElGamal ECC (Elliptic Curve ), the obtained results prove that the proposed solution reaches a good balance between both performance and security levels. Therefore, the proposed solution can be applied on limited devices and especially for real-time scenarios that require the additive homomorphic property and the average calculation over cipher-texts.
Geometric-feature-based approach to human face reconstruction with high measurement speed

This paper presents a method based on geometry for three-dimensional (3D) face reconstruction without the need for additional images, hardware components, or objects. In our proposed method, we consider part of the nose as the feature region because its shape remains almost constant during the measurement. The geometry of this region was used to provide cues for phase unwrapping. We first spatially unwrap the phase and determine the integer multiple of 2π to be added by comparing the recovered result of the feature region and its actual shape. Then, the face can be reconstructed with the acquired absolute phase. Experimental results demonstrated that our method is capable of reconstructing a dynamic face with high measurement speed, and only three phase-shifted fringes are required per frame.
Industrial x-ray image enhancement network based on a ray scattering model

X-ray images frequently have low contrast and lost edge features because of the complexity of objects, attenuation of reflected light, and scattering superposition of rays. Image features are frequently lost in traditional enhancement methods. In this paper, we use a ray scattering model to estimate coarsely clear images and an encoder-decoder network and multi-scale feature extraction module to add multi-scale and detail information to the images. To selectively emphasize useful features, a dual attention module and UnsharpMasking with learnable correction factors are used. The results of the experiments demonstrate that the method may significantly enhance the quality of x-ray images.
Cut-Free Gentzen Sequent Calculi for Tense Logics

The cut-free single-succedent Gentzen sequent calculus GKt for the minimal tense logic Kt is introduced. This sequent calculus satisfies the displaying property. The proof proceeds in terms of a Kolmogorov translation and three intermediate sequent systems. Finally, we show that tense logics axiomatized by strictly positive implication have cut-free Gentzen sequent calculi uniformly.
Mapping a Decade of Smart Homes for the Elderly in Web of Science: A Scientometric Review in CiteSpace

Challenges caused by the care of the ageing population in many countries are becoming increasingly severe. However, high expenditures on healthcare services and the cost of infrastructure construction will be an unbearable burden for both the government and individuals. Due to its security, convenience, and lower prices compared with traditional medical care, smart home technology, which includes information and communication technologies (ICTs), artificial intelligence (AI), and the Internet of Things (IoT), can reduce the care burden. While smart home studies targeting older adults have increased, systematic analysis of these studies is lacking. CiteSpace enables rapid clustering and visualisation of the literature using scientific diagrams, exhibiting the results more comprehensibly. This analysis of academic research published within the last decade (from 2012 to 2023) through a scientometric approach can help to understand the historical variations, the latest technologies and emerging trends, and the research clusters that have emerged related to the study of smart homes for the elderly (SHFTE). The study results showed that recent research mainly centres on IoT for home automation and home-based healthcare, including wearable device applications and information security analysis. Research trends regarding SHFTE have focused primarily on developing and updating smart technologies based on the IoT, sensors, and related home monitoring. Therefore, greater emphasis must be placed on connecting smart homes and intelligent buildings with communities and societies, developing the potential of smart communities, and investigating the application of smart integration to the home and community in cities.