216,395 research outputs found
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
Big data systems development is full of challenges in view of the variety of
application areas and domains that this technology promises to serve.
Typically, fundamental design decisions involved in big data systems design
include choosing appropriate storage and computing infrastructures. In this age
of heterogeneous systems that integrate different technologies for optimized
solution to a specific real world problem, big data system are not an exception
to any such rule. As far as the storage aspect of any big data system is
concerned, the primary facet in this regard is a storage infrastructure and
NoSQL seems to be the right technology that fulfills its requirements. However,
every big data application has variable data characteristics and thus, the
corresponding data fits into a different data model. This paper presents
feature and use case analysis and comparison of the four main data models
namely document oriented, key value, graph and wide column. Moreover, a feature
analysis of 80 NoSQL solutions has been provided, elaborating on the criteria
and points that a developer must consider while making a possible choice.
Typically, big data storage needs to communicate with the execution engine and
other processing and visualization technologies to create a comprehensive
solution. This brings forth second facet of big data storage, big data file
formats, into picture. The second half of the research paper compares the
advantages, shortcomings and possible use cases of available big data file
formats for Hadoop, which is the foundation for most big data computing
technologies. Decentralized storage and blockchain are seen as the next
generation of big data storage and its challenges and future prospects have
also been discussed
Water, Sanitation and Hygiene In Health Care Facilities: Status in Low- and Middle-income Countries and Way Forward
This report presents, for the first time, a global assessment of the extent to which health care facilities provide essential water, sanitation, and hygiene (WASH) services. Drawing on data from 54 low- and middle-income countries, this report finds that 38 percent lack access to even rudimentary levels of water. The World Health Organization, UNICEF, governments, and other partners must develop a global plan to address the pressing needs and ensure that all health care facilities have WASH services
State of Alaska Election Security Project Phase 2 Report
A laska’s election system is among the most secure in the country,
and it has a number of safeguards other states are now adopting. But
the technology Alaska uses to record and count votes could be improved—
and the state’s huge size, limited road system, and scattered communities
also create special challenges for insuring the integrity of the vote.
In this second phase of an ongoing study of Alaska’s election
security, we recommend ways of strengthening the system—not only the
technology but also the election procedures. The lieutenant governor
and the Division of Elections asked the University of Alaska Anchorage to
do this evaluation, which began in September 2007.Lieutenant Governor Sean Parnell.
State of Alaska Division of Elections.List of Appendices / Glossary / Study Team / Acknowledgments / Introduction / Summary of Recommendations / Part 1 Defense in Depth / Part 2 Fortification of Systems / Part 3 Confidence in Outcomes / Conclusions / Proposed Statement of Work for Phase 3: Implementation / Reference
The Reality of the Application of e-DMS in Governmental Institutions - an Empirical Study on the PPA
The research aims to identify the status of the application of electronic document management system in governmental institutions – the study was applied on the Palestinian Pension Agency. The population of this study is composed of all employees in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the descriptive and analytical approach, through which try to describe the phenomenon of the subject of the study, analyze the data and the relationship between the components and the views put around it. Census method was used due to the small size of the study population and ease of access to the target group. (108) questionnaires were distributed to all members of the study population, were (65) employees in the Gaza Strip and (43) employees in the West Bank. All questionnaires were recovered.
The study found the following results: There were no statistically significant differences in the members of the population in response to differences in the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to the age. There are no statistically significant differences in population members in response to the reality of the application of electronic document management system in governmental institutions - case Study on the Palestinian Pension Authority due to the variable nature of the job. As well as there are no statistically significant differences in the members of the population in response to the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to the variable of specialization. There are statistically significant differences in the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to Qualification variable for the benefit of members of the population study who are holding a Bachelor degree. There are statistically significant differences in the study about the reality of the application of electronic document management system in governmental institutions – case study on the Palestinian Pension Authority due to the variable number of years of experience for the benefit of members of the study population who have experience between 11-15 years.
The study found a group of recommendations, including: the need to focus on the establishment of a general management of electronic documents in the organization structure that takes care of all the technical processes in it an contains scientifically qualified persons in the field of electronic document management. The need is for the attention in developing strategic plans, policies and mechanisms of action commensurate with the electronic document management system
Scalable Persistent Storage for Erlang
The many core revolution makes scalability a key property. The RELEASE project aims to improve the scalability of Erlang on emergent commodity architectures with 100,000 cores. Such architectures require scalable and available persistent storage on up to 100 hosts. We enumerate the requirements for scalable and available persistent storage, and evaluate four popular Erlang DBMSs against these requirements. This analysis shows that Mnesia and CouchDB are not suitable persistent storage at our target scale, but Dynamo-like NoSQL DataBase Management Systems (DBMSs) such as Cassandra and Riak potentially are. We investigate the current scalability limits of the Riak 1.1.1 NoSQL DBMS in practice on a 100-node cluster. We establish for the first time scientifically the scalability limit of Riak as 60 nodes on the Kalkyl cluster, thereby confirming developer folklore. We show that resources like memory, disk, and network do not limit the scalability of Riak. By instrumenting Erlang/OTP and Riak libraries we identify a specific Riak functionality that limits scalability. We outline how later releases of Riak are refactored to eliminate the scalability bottlenecks. We conclude that Dynamo-style NoSQL DBMSs provide scalable and available persistent storage for Erlang in general, and for our RELEASE target architecture in particular
EGI: anOpen e-Infrastructure Ecosystem for the Digital European Research Area
Bringing the digital European Research Area (ERA) online means modernising Europe’s research infrastructure by promoting open science through the availability, accessibility and reuse of scientific data and results, the use of web- based tools that facilitate scientific collaboration and ensuring public access to research. As the European Grid Infrastructure (EGI) is the largest European distributed computing infrastructure providing 24/7 access to large scale computing, storage and data resources through a federation of national resource providers, it allows scientists from all disciplines to make the most out of the latest computing technologies for the benefit of their research. This paper describes the methodology and approach for defining EGI’s role in bringing this digital ERA online. The work presented defines the roles and functions of EGI as an open ICT ecosystem, required service redesign, the added value of EGI for the European research communities and demonstrates the role that EGI plays in contributing to the Europe 2020 strategy for social-economic impact
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