Storage Access Research Articles

Conceptual principles and patterns of legal regulation of the processes of storage, access and data protection of genome sequencing in foreign countries as the basis for the modernization of Russian legislation.

The relevance of the study of the general principles and patterns of legal regulation of access storage processes and data protection of genome sequencing in foreign countries is determined by the need to develop a general concept of legal regulation of this type of activity in Russia. The purpose of this study is to develop the system-forming principles and patterns of access storage and data protection of genome sequencing in Russia. To achieve this goal, tasks were set and solved to identify and study the general principles and patterns of legal regulation of access storage processes and data protection of genome sequencing in foreign countries. The international documents regulating the features of regulation of access storage processes and data protection of genome-wide sequencing, the doctrinal sources of Great Britain, the USA, France, Israel, and Japan are studied. Methods used: general philosophical, general scientific, private scientific, special (structural-legal, comparative-legal, formal-legal). The general principles for the formation of the concept of legal regulation of genome sequencing in Russia are proposed. It was revealed that the creation of a universal regulatory regulator aimed at protecting the subject of personal data in view of the prevalence of public interests over private ones and the constant expansion of the scope of application of genetic data obtained as a result of genome-wide sequencing is the main problem in developing a legal regulation mechanism in the studied area. For the first time, the authors determine the basic principles for developing the concept of genome-wide sequencing in Russia, including: recognition of human rights and human dignity as the highest value, the necessity of researchers' responsibility for the well-being of participants in view of the obtained research results, the mandatory informed consent of which should be voluntary, permanent, their right to get acquainted with the results obtained if it concerns their health, access to such information, ensuring the right to non-knowledge of research results and others.

A Review of Techniques and Methods for IoT Applications in Collaborative Cloud-Fog Environment

Cloud computing is widely used for its powerful and accessible computing and storage capacity. However, with the development trend of Internet of Things (IoTs), the distance between cloud and terminal devices can no longer meet the new requirements of low latency and real-time interaction of IoTs. Fog has been proposed as a complement to the cloud which moves servers to the edge of the network, making it possible to process service requests of terminal devices locally. Despite the fact that fog computing solves many obstacles for the development of IoT, there are still many problems to be solved for its immature technology. In this paper, the concepts and characteristics of cloud and fog computing are introduced, followed by the comparison and collaboration between them. We summarize main challenges IoT faces in new application requirements (e.g., low latency, network bandwidth constraints, resource constraints of devices, stability of service, and security) and analyze fog-based solutions. The remaining challenges and research directions of fog after integrating into IoT system are discussed. In addition, the key role that fog computing based on 5G may play in the field of intelligent driving and tactile robots is prospected.

Original Research: Nurses' Knowledge and Comfort with Assessing Inpatients' Firearm Access and Providing Education on Safe Gun Storage.

This study sought to evaluate nurses' knowledge and comfort with assessing inpatients' access to firearms and providing education on firearm safety and storage. Facilitators and barriers to such assessment, as well as best methods for educating nurses and patients on firearm safety and storage, were also explored. Nurses from a general medical unit and a psychiatric unit at a large urban hospital were invited to complete a 22-question online survey. Descriptive statistics were computed to analyze survey responses for each unit. Forty-two nurses-21 from each unit-participated. More than 50% of nurses on each unit were unfamiliar with state law on safe gun storage, and none had prior training in educating others on firearm safety and storage. Compared with nurses on the psychiatric unit, those on the general medical unit were less comfortable asking patients about firearm access and safe gun storage. Several facilitators and barriers to assessment emerged. Facilitators identified by similar numbers of nurses on each unit included receiving relevant education and having educational information available for patients. Nurses on both units also endorsed having a safety protocol and a documentation policy in place. Barriers identified by similar numbers of nurses on each unit included lack of adequate knowledge about firearm safety and lack of patient educational materials. More medical unit than psychiatric unit nurses also named lack of time and not knowing what to do with collected information. More than 80% of nurses on each unit reported that they would feel comfortable providing patients with information on safe firearm storage if it were available; a pamphlet was endorsed most often as the best method. A one-hour class involving the security department and other disciplines was the top endorsed nurse learning strategy. Findings from this study highlighted several factors, including nursing specialty, that may influence inpatient assessment of firearm access and safe gun storage. These results can help inform hospital policies and nursing education initiatives aimed at improving safe gun storage practices among patients and the general public.

Online Collaborative Data Caching in Edge Computing

In the edge computing (EC) environment, edge servers are deployed at base stations to offer highly accessible computing and storage resources to nearby app users. From the app vendor's perspective, caching data on edge servers can ensure low latency in app users' retrieval of app data. However, an edge server normally owns limited resources due to its limited size. In this article, we investigate the collaborative caching problem in the EC environment with the aim to minimize the system cost including data caching cost, data migration cost, and quality-of-service (QoS) penalty. We model this collaborative edge data caching problem (CEDC) as a constrained optimization problem and prove that it is NP-complete. We propose an online algorithm, called CEDC-O, to solve this CEDC problem during all time slots. CEDC-O is developed based on Lyapunov optimization, works online without requiring future information, and achieves provable close-to-optimal performance. CEDC-O is evaluated on a real-world data set, and the results demonstrate that it significantly outperforms four representative approaches.

DF-toolkit

Applications in several areas, such as privacy, security, and integrity validation, require direct access to database management system (DBMS) storage. However, relational DBMSes are designed for physical data independence, and thus limit internal storage exposure. Consequently, applications either cannot be enabled or access storage with ad-hoc solutions, such as querying the ROWID (which can expose physical record location within DBMS storage but not within OS storage) or using DBMS "page repair" tools that read and write DBMS data pages directly. Such ad-hoc methods are limited in their capabilities and difficult to program, maintain, and port across various DBMSes. In this demonstration, we showcase DF-Toolkit - a set of tools that provide an abstracted access to the DBMS storage layer. Users will be able to view DBMS storage not accessible through other applications. Examples include unallocated (e.g., deleted) data, index value-pointer pairs, and cached DBMS pages in RAM. Users will also be able to interact with several special-purpose security applications that audit DBMS storage beyond what DBMS vendors support.

Research on multi-authority CP-ABE access control model in multicloud

In order to solve the problems of data sharing security and policy conflict in multicloud storage systems (MCSS), this work designs an attribute mapping mechanism that extends ciphertext policy attribute-based encryption (CP-ABE), and proposes a multi-authority CP-ABE access control model that satisfies the need for multicloud storage access control. The mapping mechanism mainly involves the tree structure of CP-ABE and provides support for the types of attribute values. The framework and workflow of the model are described in detail. The effectiveness of the model is verified by building a simple prototype system, and the performance of the prototype system is analyzed. The results suggest that the proposed model is of theoretical and practical significance for access control research in MCSS. The CP-ABE has better performance in terms of computation time overhead than other models.

Video Cloud Services for Hospitals: Designing an End-to-End Cloud Service Platform for Medical Video Storage and Secure Access

The amount of medical video data that has to be securely stored has been growing exponentially. This rapid expansion is mainly caused by the introduction of higher video resolution such as 4K and 8K to medical devices and the growing usage of telemedicine services, along with a general trend toward increasing transparency with respect to medical treatment, resulting in more and more medical procedures being recorded. Such video data, as medical data, must be maintained for many years, resulting in datasets at the exabytes scale that each hospital must be able to store in the future. Currently, hospitals do not have the required information and communications technology infrastructure to handle such large amounts of data in the long run. In this paper, we discuss the challenges and possible solutions to this problem. We propose a generic architecture for a holistic, end-to-end recording and storage platform for hospitals, define crucial components, and identify existing and future solutions to address all parts of the system. This paper focuses mostly on the recording part of the system by introducing the major challenges in the area of bioinformatics, with particular focus on three major areas: video encoding, video quality, and video metadata.

The Human Brain Signal Detection of Health Information System in EDSAC: A Novel Cipher Text Attribute based Encryption with EDSAC Distributed Storage Access Control

The Human Brain Signal Detection of Health Information System in EDSAC: A Novel Cipher Text Attribute based Encryption with EDSAC Distributed Storage Access Control

Batch-file Operations to Optimize Massive Files Accessing

Existing local file systems, designed to support a typical single-file access mode only, can lead to poor performance when accessing a batch of files, especially small files. This single-file mode essentially serializes accesses to batched files one by one, resulting in a large number of non-sequential, random, and often dependent I/Os between file data and metadata at the storage ends. Such access mode can further worsen the efficiency and performance of applications accessing massive files, such as data migration. We first experimentally analyze the root cause of such inefficiency in batch-file accesses. Then, we propose a novel batch-file access approach, referred to as BFO for its set of optimized Batch-File Operations , by developing novel BFOr and BFOw operations for fundamental read and write processes, respectively, using a two-phase access for metadata and data jointly. The BFO offers dedicated interfaces for batch-file accesses and additional processes integrated into existing file systems without modifying their structures and procedures. In addition, based on BFOr and BFOw, we also propose the novel batch-file migration BFOm to accelerate the data migration for massive small files. We implement a BFO prototype on ext4, one of the most popular file systems. Our evaluation results show that the batch-file read and write performances of BFO are consistently higher than those of the traditional approaches regardless of access patterns, data layouts, and storage media, under synthetic and real-world file sets. BFO improves the read performance by up to 22.4× and 1.8× with HDD and SSD, respectively, and it boosts the write performance by up to 111.4× and 2.9× with HDD and SSD, respectively. BFO also demonstrates consistent performance advantages for data migration in both local and remote situations.

Factors Influencing Online Buying Behavior of Customers in Saudi Arabia: العوامل المؤثرة على سلوك المستهلك عند التسوق عبر الإنترنت في السعودية

Recent years witnessed the establishment of many Saudi online stores; the accessibility of such online stores provides online shopping facilities that will increase online shopping in KSA. Therefore, it becomes highly important to study and understand the different factors that affect consumers’ behavior towards online buying in Saudi Arabia based on the fact that e-commerce has been one of the strategic objectives that support fulfilling the Saudi Vision 2030. The purpose of this study is to identify factors that could influence the buying behavior of customers in Saudi Arabia. The present paper has used the descriptive analysis to study the influence of various factors. Saudi online customers are the targeted population of the research. This study collected data using a convenience sampling method. The data was collected through a questionnaire on a sample of 212 respondents. The results of this paper show a positive attitude toward online buying among Saudi customers. The findings confirm that trustworthiness, price, convenience and customer satisfaction are determinants of online buying continuance and they could influence online buying behavior. The findings show that there is no significant difference in online buying behavior, according to social influence. Online Saudi companies should concentrate on setting effective marketing and sales strategies to get more customers into online buying. The findings contribute to the projected growth of e-commerce in Saudi Arabia in light of Saudi Vision 2030.

Semantic Priming in Mild Cognitive Impairment and Healthy Subjects: Effect of Different Time of Presentation of Word-Pairs.

Introduction: Semantic memory is impaired in mild cognitive impairment (MCI). Two main hypotheses about this finding are debated and refer to the degradation of stored knowledge versus the impairment of semantic access mechanisms. The aim of our study is to evaluate semantic impairment in MCI versus healthy subjects (HS) by an experiment evaluating semantic priming. Methods: We enrolled 27 MCI and 20 HS. MCI group were divided, according to follow up, into converters-MCI and non converters-MCI. The semantic task consisted of 108 pairs of words, 54 of which were semantically associated. Stimuli were presented 250 or 900 ms later the appearance of the target in a randomized manner. Data were analyzed using factorial ANOVA. Results: Both HS and MCI answered more quickly for word than for non-word at both stimulus onset asynchrony (SOA) intervals. At 250 ms, both MCI and HS experienced a shorter time of response for related-word than for unrelated words (priming effect), while only the converters-MCI subgroup lost the priming effect. Further, we observed a rather larger Cohen’s d effect size in non converters-MCI than in converters-MCI. Conclusion: Our data, and in particular the absence of a semantic priming effect in converters-MCI, could reflect the impairment of semantic knowledge rather than the accessibility of semantic stores in MCI individuals that progress to dementia.

A Novel Android Memory Forensics for Discovering Remnant Data

As recently updated on the vulnerability statistics shown in 2019, Android-driven smartphones, tablet PCs, and other Android devices are vulnerable, whether from internal or external threats. Most users store sensitive data like emails, photos, cloud storage access, and contact lists on Android smartphones. This information holds a growing-importance for the digital investigation process of mobile devices, e.g., internal memory or random-access memory (RAM) forensics, or external memory or read-only memory (ROM) forensics on Android smartphones. Internal memory retrieval is considered flawed and difficult by some researchers as it alters the digital evidence in an intrusive way. On the other hand, external memory retrieval also called logical acquisition that implies the image of logical storage items (e.g., files, database, directories, etc.) that locate on logical storage. This research provides a novel methodology that focuses only on internal memory forensic in a forensically sound manner. This research also contributes two algorithms, e.g., collect raw information (CRI) for parsing the raw data, and investigate raw information (IRI) for extracting the digital evidence to be more readable. This research conducted with fourteenth events to be analyzed, and each event was captured by SHA-1 as digital evidence. By using GDrive as the case study, the authors concluded that the proposed methodology could be used as guidance by forensics analyst(s), cyberlaw practitioner(s), and expert witness(es) in the court.

Ethical boundaries of the legal regulation of genome sequencing in Russia and abroad.

The relevance of the chosen topic is due to the need to resolve ethical problems that arise in the framework of legal regulation of genome-wide sequencing in Russia and foreign countries. The purpose of this research is to form ethical principles that should become a reference point for law - making in this area. In order to achieve this goal, we have solved the tasks of studying the normative legal acts of Russia and a number of foreign countries from an ethical point of view. General scientific, private scientific and special methods of scientific knowledge (system-structural, formal-legal) are used. In order to comply with the ethical boundaries of legal regulation, to store access and protect full-genome sequencing data in Russia and foreign countries, it is proposed to develop a set of restrictions that prevent possible discrimination on genetic grounds, to create the necessary conditions for the inadmissibility of disclosure of personalized data, disclosure of information about a genetic disease to the subject and his relatives, as well as the boundaries of editing the genome of a human embryo. For the first time, the authors substantiate the need to establish clear ethical boundaries in the implementation of genome-wide sequencing in Russia based on foreign experience.

Deduplication for Cloud based on AES Algorithm

This paper provides and analyses a new scheme to address the issue of everlasting cloud storage access systems by providing AES Algorithm based solution. Addressing the issue of Data storage in the recent times is the aim of the paper and is being done using the recent AES Algorithm. Data security and time constraint for data retrival from the cloud server is also taken into account while implementing the scheme

Investigating the effects of fault reactivation and CO2 migration during combined CO2-EOR and sequestration within a mature oil reservoir

The investigation into the combined processes of CO2-EOR and geologic carbon sequestration was seen to be a viable solution to reducing CO2 emissions from the atmosphere, while boosting production from mature oil fields. However, the practicality of the combined process hinges on the determination of an optimum injection pressure to maximize the application of both methods. In addition, the success of these two operations is also contingent upon the dynamic sealing capacity of bounding faults, to allow hydrocarbon accumulation and trapping of injected CO2. Consequentially, the goal of this research is to optimize the implementation of combined CO2-EOR with simultaneous CO2 sequestration and investigate the enhancing/diminishing aspects of fault reactivation and CO2 migration. The study was approached from two scenarios; the first was the determination of an optimum injection pressure for the combined process, with the main focus on maximizing recovery from a mature oil field. The results saw a maximum cumulative recovery of 73.7090 Mbbls being facilitated at an optimal injection rate of 722 Scf/day. The second scenario entailed the investigation of the occurrence or lack thereof, of injection-induced fault reactivation at this predetermined injection rate of 722 Scf/day. Simulations reflecting the characteristics of fault reactivation were conducted, and are indicative of relations between fault opening stress, reactivation time, hydraulic fracture permeability, fracture propagation length, and leakage. Conclusively, the viability of the combination of CO2-EOR and sequestration were seen to depend on the technicalities of fault reactivation. In some cases, reactivation resulted in increases of accessible storage capacity, whereas, in other instances, it led to the leakage of the injected CO2.

The Changing Spatial Organization of Ethnic Retailing: Chinese and South Asian Grocery Retailers in Toronto

Understanding the changing spatial structure of ethnic grocery retailing in Canadian urban regions provides insights into ethnic business development and the well-being of residents, particularly relating to the accessibility to healthy food options. This study explores this through a case study of Chinese and South Asian grocery retailing in the Toronto Census Metropolitan Area, focusing on the changing spatial relationship between ethnic grocery business distribution, ethnic residential patterns in 2001 and 2016. The paper highlights the varying levels of accessibility to co-ethnic and mainstream retailers for Chinese and South Asian residents in Toronto. An integrated marginalization-accessibility index is developed to reveal the spatial mismatch between the level of material deprivation and grocery store access for Chinese and South Asian residents. The results of the study show that Chinese and South Asian grocery retailers and residents have suburbanized over the study period. Index results indicate that some census tracts experienced limited access to both mainstream and ethnic grocery stores, particularly among the South Asian community. There is a growing proportion of areas that are relatively well-serviced by Chinese and South Asian grocery but exhibit a limited presence of mainstream retailers, with ethnic grocers filling market gaps not served by mainstream retailers.

Research on Design and Implementation of Knowledge Map Storage Access System Based on Ontology Reasoning

In order to support the intelligent combat capability of future wars, the network information system needs in-depth research and exploration in the field of artificial intelligence. This paper designs a distributed aggregation storage mode with the characteristics of balanced storage load distribution and local node aggregation storage under Big Table model. A distributed parallel query engine that uses the Group-By mode to distribute parallel computation query trees. A knowledge map completion method based on Bayesian inference is proposed. Bayesian probabilistic inference theory and RDF implication inference rules are used to jointly infer the potential relationships between entity nodes to predict the relationship between new nodes and original nodes, thus improving the mining efficiency of potential factors in the model and the accuracy of prediction of unknown relationships. Based on Big Table model, the entity sets stored row by row are evenly divided and stored through random prefix and pre-partition operations to realize load balancing. At the same time, random prefixes can be uniformly distributed to nodes for storing entities of the same type, and aggregated by entity category on a single node. With the continuous development of knowledge map technology, future knowledge map learning and reasoning technology can be integrated with new fields such as machine depth learning, cloud computing, block chain, big data, biological genetic engineering, etc. to play an important social value.

Information in the modern digital world

The article analyzes the concept of “information” in its different representations: in the form of documents, drawings, pictures, texts, audio or light signals, electrical or nerve impulses etc., considers the most significant properties of the information (objectivity and subjectivity; completeness; reliability; adequacy; availability; relevance; accuracy; value) which have lately gained a worldwide currency). It analyzes the topics of journal and online publications, IT expert reviews as to the researches on the Information Theory. It is noted that the Source, Signal Channel, Converter, Coding, Recipient are used for transferring information. It has been found that the data transfer can be analog or digital (binary signal stream) as well as modulated with analog modulation, or with digital coding. It has been determined that when transmitting signals two main methods are used in the modern world: direct transmission of signals with a preset original form (impulses bearing the value of binary codes) and transmission with signal carriers (in the mobile or satellite communication). The concept “Information Object” is highlighted: material objects and phenomena, abstractions, virtual entities; Storage Media: states of matter, parameters of physical fields, “thin-material” phenomena; Information Subject: people and other living organisms, program objects which actively interact with its information environment. It is noted that in the modern “digital” life the need for storing and accessing data at any time becomes very important for the user. The main physical media for storing information are listed. The Databases (Data Bank, Database System, Data Warehouse, Data Mart) for the personal data storage and secure access have been analyzed. The importance of the information security has been proved: protection against random factors, wrongful acts of the user, equipment failure and protection from criminal acts which consist in the disclosure of sensitive information, unauthorized access to the information as well as coding and cryptography.

Analysis of differences in store choice and hairstyle pursuit behaviors according to lifestyle types of one-person hair salon users

The purpose of this study was to develop a lifestyle scale for one-person hair salon users and to identify differences in store choice factors and hairstyle pursuit behaviors according to lifestyle types. Data was collected by survey, with 225 responses being included in the analysis. Data analysis was performed using cross-analysis, factor analysis, Cronbach’s α, cluster analysis, ANOVA and the Duncan-test using SPSS 23.0 analysis software. The results of the study were as follows. First, one-person hair salon users were classified according to the following lifestyle groups: The rational appearance management group, the passive appearance management group, and the discriminative appearance management group. Second, store choice factors according to lifestyle group showed significant group-specific differences in relation to store atmosphere, accessibility, and promotion. Conversely, comfort of space in store and word-of-mouth recommendation message were high for all three groups, indicating that these are important factors in relation to store selection. Third, with regard to hairstyle pursuit behaviors according to lifestyle, the discriminative appearance management group showed the same characteristics as high involvement groups that regard all dimensions of hairstyle pursuit behavior as important. The results of this study can be used to suggest efficient operations for one-person hair salons and to suggest differentiated marketing strategies to increase the demand of one-person hair salon users.

Optimized data storage algorithm of IoT based on cloud computing in distributed system

The existing Internet of Things(IoT) uses cloud computing data access storage algorithms, that is, the hash algorithm has defects of low data processing efficiency and low fault tolerance rate. Therefore, HDFS is introduced to optimize cloud computing data access storage algorithms. HDFS is first used to optimize the data access storage architecture according to problems of data access storage architecture in the Internet of Things, in which factors of data access storage distribution in the IoT are fully considered, and hash values are used to optimize the configuration of data access information storage locations, so that data access storage distribution strategy can be optimized. Then, the topology of the IoT is optimized, and data block size is also optimized with effect algorithm. Finally, the design of file storage is optimized. Through simulation experiments, it is proved that the optimized cloud storage method has obvious performance advantages in file read and write speed as well as memory usage. Compared with the traditional hash algorithm, optimization algorithm proposed in the paper greatly improves file upload and download efficiency, data processing efficiency and fault tolerance rate, which fully demonstrates that the proposed cloud computing data access storage optimization algorithm is more superior.