Improving load balancing for data-duplication in big data cloud computing networks

Data transmission and retrieval in a cloud computing environment are usually handled by storage device providers or physical storage units leased by third parties. Improving network performance considering power connectivity and resource stability while ensuring workload balance is a hot topic in cloud computing. In this research, we have addressed the data duplication problem by providing two dynamic models with two variant architectures to investigate the strengths and shortcomings of architectures in Big Data Cloud Computing Networks. The problems of the data duplication process will be discussed accurately in each model. Attempts have been made to improve the performance of the cloud network by taking into account and correcting the flaws of the previously proposed algorithms. The accuracy of the proposed models have been investigated by simulation. Achieved results indicate an increase in the workload balance of the network and a decrease in response time to user requests in the model with a grouped architecture for all the architectures. Also, the proposed duplicate data model with peer-to-peer network architecture has been able to increase the cloud network optimality compared to the models presented with the same architecture.

     

Performance Evaluation of Resource Management in Cloud Computing Environments

Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price.     

Patient and Healthcare Provider Barriers to Hypertension Awareness,Treatment and Follow Up: A Systematic Review and Meta-Analysis of Qualitative and Quantitative Studies

Background

Although the importance of detecting, treating, and controlling hypertension has been recognized for decades, the majority of patients with hypertension remain uncontrolled. The path from evidence to practice contains many potential barriers, but their role has not been reviewed systematically. This review aimed to synthesize and identify important barriers to hypertension control as reported by patients and healthcare providers.

Methods

Electronic databases MEDLINE, EMBASE and Global Health were searched systematically up to February 2013. Two reviewers independently selected eligible studies. Two reviewers categorized barriers based on a theoretical framework of behavior change. The theoretical framework suggests that a change in behavior requires a strong commitment to change [intention], the necessary skills and abilities to adopt the behavior [capability], and an absence of health system and support constraints.

Findings

Twenty-five qualitative studies and 44 quantitative studies met the inclusion criteria. In qualitative studies, health system barriers were most commonly discussed in studies of patients and health care providers. Quantitative studies identified disagreement with clinical recommendations as the most common barrier among health care providers. Quantitative studies of patients yielded different results: lack of knowledge was the most common barrier to hypertension awareness. Stress, anxiety and depression were most commonly reported as barriers that hindered or delayed adoption of a healthier lifestyle. In terms of hypertension treatment adherence, patients mostly reported forgetting to take their medication. Finally, priority setting barriers were most commonly reported by patients in terms of following up with their health care providers.

Conclusions

This review identified a wide range of barriers facing patients and health care providers pursuing hypertension control, indicating the need for targeted multi-faceted interventions. More methodologically rigorous studies that encompass the range of barriers and that include low- and middle-income countries are required in order to inform policies to improve hypertension control.     

Confusing means with ends: A manager's reflections on experience in agricultural landscapes of Western Australia

Summary Since 'landcare' in its modern form began in Australia during the early 1980s, considerable resources have been focused on applying tools and processes, such as community empowerment, regionalization, integrated catchment management, and facilitation and coordination. While these are valuable tools to achieve goals, they are not themselves goals. Unfortunately, they have frequently become ends in themselves. This confusion of means and ends has hindered landcare achievements in Australia. Examples of this are provided, and then contrasted with management based on goals that emphasize realistic targets, highlight barriers to goal achievement, and facilitate the development of well-targeted actions. The complexity of most natural resource management issues, the lack of technical solutions and the long timescales over which management must be applied have all contributed to the confusion of means and ends.     

A specialist’s audit of aggregated occurrence records

Occurrence records for named, native Australian millipedes from the Global Biodiversity Information Facility (GBIF) and the Atlas of Living Australia (ALA) were compared with the same records from the Millipedes of Australia (MoA) website, compiled independently by the author. The comparison revealed some previously unnoticed errors in MoA, and a much larger number of errors and other problems in the aggregated datasets. Errors have been corrected in MoA and in some data providers’ databases, but will remain in GBIF and ALA until data providers have supplied updates to these aggregators. An audit by a specialist volunteer, as reported here, is not a common occurrence. It is suggested that aggregators should do more, or more effective, data checking and should query data providers when possible errors are detected, rather than simply disclaim responsibility for aggregated content.     

Enablers and barriers to implementing collaborative care for anxiety and depression: a systematic qualitative review

Background

Collaborative care is an increasingly popular approach for improving quality of care for people with mental health problems through an intensified and structured collaboration between primary care providers and health professionals with specialized psychiatric expertise. Trials have shown significant positive effects for patients suffering from depression, but since collaborative care is a complex intervention, it is important to understand the factors which affect its implementation. We present a qualitative systematic review of the enablers and barriers to implementing collaborative care for patients with anxiety and depression.

Methods

We developed a comprehensive search strategy in cooperation with a research librarian and performed a search in five databases (EMBASE, PubMed, PsycINFO, ProQuest, and CINAHL). All authors independently screened titles and abstracts and reviewed full-text articles. Studies were included if they were published in English and based on the original qualitative data on the implementation of a collaborative care intervention targeted at depression or anxiety in an adult patient population in a high-income country. Our subsequent analysis employed the normalization process theory (NPT).

Results

We included 17 studies in our review of which 11 were conducted in the USA, five in the UK, and one in Canada. We identified several barriers and enablers within the four major analytical dimensions of NPT. Securing buy-in among primary care providers was found to be critical but sometimes difficult. Enablers included physician champions, reimbursement for extra work, and feedback on the effectiveness of collaborative care. The social and professional skills of the care managers seemed critical for integrating collaborative care in the primary health care clinic. Day-to-day implementation was also found to be facilitated by the care managers being located in the clinic since this supports regular face-to-face interactions between physicians and care managers.

Conclusions

The following areas require special attention when planning collaborative care interventions: effective educational programs, especially for care managers; issues of reimbursement in relation to primary care providers; good systems for communication and monitoring; and promoting face-to-face interaction between care managers and physicians, preferably through co-location. There is a need for well-sampled, in-depth qualitative studies on the implementation of collaborative care in settings outside the USA and the UK.

     

Optimized combinatorial clustering for stochastic processes

As a new data processing era like Big Data, Cloud Computing, and Internet of Things approaches, the amount of data being collected in databases far exceeds the ability to reduce and analyze these data without the use of automated analysis techniques, data mining. As the importance of data mining has grown, one of the critical issues to emerge is how to scale data mining techniques to larger and complex databases so that it is particularly imperative for computationally intensive data mining tasks such as identifying natural clusters of instances. In this paper, we suggest an optimized combinatorial clustering algorithm for noisy performance which is essential for large data with random sampling. The algorithm outperforms conventional approaches through various numerical and qualitative thresholds like mean and standard deviation of accuracy and computation speed.     

Resource scheduling methods in cloud and fog computing environments: a systematic literature review

In recent years, cloud computing can be considered an emerging technology that can share resources with users. Because cloud computing is on-demand, efficient use of resources such as memory, processors, bandwidth, etc., is a big challenge. Despite the advantages of cloud computing, sometimes it is not a proper choice due to its delay in responding appropriately to existing requests, which led to the need for another technology called fog computing. Fog computing reduces traffic and time lags by expanding cloud services to the network and closer to users. It can schedule resources with higher efficiency and utilize them to impact the user's experience dramatically. This paper aims to survey some studies that have been done in the field of scheduling in fog/cloud computing environments. The focus of this survey is on published studies between 2015 and 2021 in journals or conferences. We selected 71 studies in a systematic literature review (SLR) from four major scientific databases based on their relation to our paper. We classified these studies into five categories based on their traced parameters and their focus area. This classification comprises 1—performance 2—energy efficiency, 3—resource utilization, 4—performance and energy efficiency, and 5—performance and resource utilization simultaneously. 42.3% of the studies focused on performance, 9.9% on energy efficiency, 7.0% on resource utilization, 21.1% on both performance and energy efficiency, and 19.7% on both performance and resource utilization. Finally, we present challenges and open issues in the resource scheduling methods in fog/cloud computing environments.

     

The European Bioinformatics Institute (EBI) databases.

This paper describes the databases and services of the European Bioinformatics Institute (EBI). In collaboration with DDBJ and GenBank/NCBI, the EBI maintains and distributes the EMBL Nucleotide Sequence Database, Europe's primary nucleotide sequence data resource. The EBI also maintains and distributes the SWISS-PROT Protein Sequence Database, in collaboration with Amos Bairoch of the University of Geneva. Over thirty additional specialist molecular biology databases, as well as software and documentation of interest to molecular biologists, are also available. The EBI network services include database searching, entry retrieval, and sequence similarity searching facilities.     

Oral health promotion among older persons and their care providers in a nursing home facility

Objectives: To assess oral health status and oral health‐related quality of life (OHRQoL) of residents in an extended care facility and to assess the care providers’ oral health attitudes and knowledge. Methods: Participants included 137 residents (58.1% female, age range 32–94 years, 91% African–American) and 22 care providers. Residents received an oral examination and completed the Oral Health Impact Profile (OHIP‐14), an OHRQoL questionnaire. Care providers completed an oral health knowledge (OHK) questionnaire before and after the on‐site geriatric oral health education and training programme. Results: Oral examinations showed that 58% of the residents had extensive oral health needs. On the OHIP‐14, the mean severity was 9.2 (SD = 12.0), extent (number of items rated as ‘fairly often’ or ‘often’) was 1.2 (SD = 2.6) and prevalence (participants rating at least one item at least ‘fairly often’) was 37.8%. Most prevalent negative impact items were about ‘oral pain’, ‘appearance’ and ‘self‐consciousness’. Regarding OHK, caregivers’ knowledge improved following instruction from 65% correct on the pre‐test to 90% correct on the post‐test (p < 0.05). Subsequent to the eight in‐service workshops, providers reported that physical limitations, fear of getting bitten and time constraints were barriers to providing oral hygiene to their residents. Conclusion: Examination data showed a high level of dental needs among the majority of residents, accompanied by significantly reduced OHRQoL. Although care providers’ OHK improved following the geriatric service programme, they reported specific barriers regarding their provision of oral hygiene care to the residents.     

甘南高原农户对极端天气的适应障碍及适应意向

基于入户调查数据,探讨了甘南高原农户对极端天气的适应障碍,并采用二元Logistic回归模型分析了适应障碍对农户适应意向的影响。结果发现:(1)甘南高原农户面临的规范性障碍最严重,信息技术障碍次之,再次为制度障碍和认知障碍。不同生计农户面临的适应障碍存在差异,其中,纯农户主要面临信息技术障碍,兼业户和非农户则主要面临规范性障碍。(2)纯农户对极端天气的适应意向主要受认知障碍、信息准确性障碍、适应策略选择时机障碍、政策激励障碍和牲畜拥有量的影响,兼业户主要受认知障碍、技术服务障碍、政策激励障碍影响,非农户主要受认知障碍、资源获取性障碍影响。除适应策略选择时机障碍外,其余适应障碍越小,不同生计农户的积极适应意向均越强。最后,提出了解决农户适应障碍的对策建议。     

SEMEDA: ontology based semantic integration of biological databases

MOTIVATION: Many molecular biological databases are implemented on relational Database Management Systems, which provide standard interfaces like JDBC and ODBC for data and metadata exchange. By using these interfaces, many technical problems of database integration vanish and issues related to semantics remain, e.g. the use of different terms for the same things, different names for equivalent database attributes and missing links between relevant entries in different databases. RESULTS: In this publication, principles and methods that were used to implement SEMEDA (Semantic Meta Database) are described. Database owners can use SEMEDA to provide semantically integrated access to their databases as well as to collaboratively edit and maintain ontologies and controlled vocabularies. Biologists can use SEMEDA to query the integrated databases in real time without having to know the structure or any technical details of the underlying databases. AVAILABILITY: SEMEDA is available at http://www-bm.ipk-gatersleben.de/semeda/. Database providers who intend to grant access to their databases via SEMEDA are encouraged to contact the authors.     

A Model for Collaborative Curation, The IEDB and ChEBI Curation of Non-peptidic Epitopes

The Immune Epitope Database (IEDB) recently expanded and enhanced its non-peptidic epitope related data utilizing a collaboration with Chemical Entities of Biological Interest (ChEBI), resulting in the first resource that brings together published immunological data with the expertise of the ChEBI database. This procedure took advantage of the distinct expertise of the IEDB and ChEBI databases to improve content and enhance interoperability of both databases. This project has resulted in the comprehensive inventory and curation of immune epitope data related to non-peptidic structures and serves as a model for successful collaborative curation between established resources.     

Determinants for the effectiveness of implementing an occupational therapy intervention in routine dementia care

Background

A multifaceted implementation (MFI) strategy was used to implement an evidence-based occupational therapy program for people with dementia (COTiD program). This strategy was successful in increasing the number of referrals, but not in improving occupational therapists’ (OTs) adherence. Therefore, a process evaluation was conducted to identify factors that influenced the effectiveness of the MFI strategy.

Methods

A mixed-method approach of qualitative and quantitative research was used to evaluate the implementation process. The MFI strategy as planned and as executed were reported and evaluated based on the framework of Hulscher et al. (2003; 2006). Data on OTs attitudes and expected barriers were collected at baseline from 94 OTs using a 19-item questionnaire. Data on the experiences were collected after finishing the implementation using focus groups with OTs and telephone interviews with physicians and managers. For quantitative data, frequencies and correlations were calculated and qualitative data were analyzed using inductive content analysis.

Results

The implementation strategy as executed had a stronger focus than planned on increasing OTs promotional skills due to an initial lack of referrals. This resulted in less attention for increasing OTs’ skills in using the COTiD program as initially intended. At baseline, OTs had a positive attitude toward the program, however, 75% did not feel experienced enough and only 14.3% felt competent in using the program. Focus groups and interviews revealed various determinants that influenced implementation. Most managers were positive about the program. However, the degree of operational support of managers for OTs regarding the implementation was not always adequate. Managers stated that a well-defined place for occupational therapy within the dementia care network was lacking although this was perceived necessary for successful implementation. Several physicians perceived psychosocial interventions not to be in their area of expertise or not their responsibility. All professionals perceived inter-professional collaboration to be a facilitator for effective implementation, and general practitioners were perceived as key partners in this collaboration. However, collaboration was not always optimal. OTs indicated that increasing the referral rate was most effective when promoting OT via other disciplines within a physician’s network.

Conclusion

Our data suggests that a first step in successful implementation should be to make sure that individual and organizational barriers are resolved. In addition, implementation should be network-based and encourage inter-professional collaboration. Initial promotion of COTiD should focus on physicians that have a positive attitude toward non-pharmacological interventions.

     

Sharing genomes: an integrated approach to funding, managing and distributing genomic clone resources

National biological resource centres have a vital role in archiving and distributing biological reagents that result from large-scale genome programmes. These reagents are invaluable to the research community as they enable independent validation of results disclosed in peer review and provide tools that facilitate the next steps in discovery science. Here we address the crucial issues of open access, quality of materials, integration with public databases and sustainability of resources.     

On clustering in database servers for supporting mobile clients

The use of mobile computers is gaining popularity. There is an increasing trend in the number of users with laptops, PDAs, and smart phones. Access to information repositories in the future will be dominated by mobile clients rather than traditional “fixed” clients. These mobile clients download information by periodically connecting to repositories of data stored in either databases or file systems. Such mobile clients constitute a new and different kind of workload and exhibit a different access pattern than seen in traditional client server systems. Though file systems have been modified to handle clients that can download information, disconnect, and later reintegrate, databases have not been redesigned to accommodate mobile clients. There is a need to support mobile clients in the context of client server databases. This paper is about organizing the database server to take into consideration the access patterns of mobile clients. We propose the concept of hoard attributes which capture these access patterns. Three different techniques for organizing data on the server based on the hoard attribute are presented. We argue that each technique is suited for a particular workload. The workload is a combination of requests from mobile clients and traditional clients. This reorganization also allows us to address issues of concurrency control, disconnection and replica control in mobile databases. We present simulation results that show the performance of server reorganization using hoard attributes. We also provide an elaborate discussion of issues resulting from this reorganization in this new paradigm taking into account both mobile and traditional clients. This revised version was published online in August 2006 with corrections to the Cover Date.     

Data shopping in an open marketplace: Introducing the Ontogrator web application for marking up data using ontologies and browsing using facets

In the future, we hope to see an open and thriving data market in which users can find and select data from a wide range of data providers. In such an open access market, data are products that must be packaged accordingly. Increasingly, eCommerce sellers present heterogeneous product lines to buyers using faceted browsing. Using this approach we have developed the Ontogrator platform, which allows for rapid retrieval of data in a way that would be familiar to any online shopper. Using Knowledge Organization Systems (KOS), especially ontologies, Ontogrator uses text mining to mark up data and faceted browsing to help users navigate, query and retrieve data. Ontogrator offers the potential to impact scientific research in two major ways: 1) by significantly improving the retrieval of relevant information; and 2) by significantly reducing the time required to compose standard database queries and assemble information for further research. Here we present a pilot implementation developed in collaboration with the Genomic Standards Consortium (GSC) that includes content from the StrainInfo, GOLD, CAMERA, Silva and Pubmed databases. This implementation demonstrates the power of ontogration and highlights that the usefulness of this approach is fully dependent on both the quality of data and the KOS (ontologies) used. Ideally, the use and further expansion of this collaborative system will help to surface issues associated with the underlying quality of annotation and could lead to a systematic means for accessing integrated data resources.     

Systematic review of studies of patient satisfaction with telemedicine

ObjectiveTo review research into patient satisfaction with teleconsultation, specifically clinical consultations between healthcare providers and patients involving real time interactive video.DesignSystematic review of telemedicine satisfaction studies. Electronic databases searched include Medline, Embase, Science Citation Index, Social Sciences Citation Index, Arts and Humanities Citation Index, and the TIE (Telemedicine Information Exchange) database.SubjectsStudies conducted worldwide and published between 1966 and 1998.Results32 studies were identified. Study methods used were simple survey instruments (26 studies), exact methods not specified (5), and qualitative methods (1). Study designs were randomised controlled trial (1 trial); random patient selection (2); case-control (1); and selection criteria not specified or participants represented consecutive referrals, convenience samples, or volunteers (28). Sample sizes were ≤20 (10 trials), ≤100 (14), >100 (7), and not specified (1). All studies reported good levels of patient satisfaction. Qualitative analysis revealed methodological problems with all the published work. Even so, important issues were highlighted that merit further investigation. There is a paucity of data examining patients'' perceptions or the effects of this mode of healthcare delivery on the interaction between providers and clients.ConclusionsMethodological deficiencies (low sample sizes, context, and study designs) of the published research limit the generalisability of the findings. The studies suggest that teleconsultation is acceptable to patients in a variety of circumstances, but issues relating to patient satisfaction require further exploration from the perspective of both clients and providers.     

The ESF Programme on Functional Genomics Workshop on 'Data Integration in Functional Genomics: Application to Biological Pathways'

We report from the second ESF Programme on Functional Genomics workshop on Data Integration, which covered topics including the status of biological pathways databases in existing consortia; pathways as part of bioinformatics infrastructures; design, creation and formalization of biological pathways databases; generating and supporting pathway data and interoperability of databases with other external databases and standards. Key issues emerging from the discussions were the need for continued funding to cover maintenance and curation of databases, the importance of quality control of the data in these resources, and efforts to facilitate the exchange of data and to ensure the interoperability of databases.