Efficient Top-k Cloud Services Query Processing Using Trust and QoS

2018 ◽  
pp. 203-217 ◽  
Author(s):  
Karim Benouaret ◽  
Idir Benouaret ◽  
Mahmoud Barhamgi ◽  
Djamal Benslimane
Keyword(s):  
Query Processing ◽  
Cloud Services

Elasticity in Cloud Databases and Their Query Processing

2013 ◽  
Vol 9 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Goetz Graefe ◽  
Anisoara Nica ◽  
Knut Stolze ◽  
Thomas Neumann ◽  
Todd Eavis ◽  
...  
Keyword(s):  
Query Processing ◽  
Query Optimization ◽  
High Availability ◽  
Optimization Techniques ◽  
Cloud Services ◽  
Materialized Views ◽  
Short Period ◽  
Cloud Databases ◽  
Elastic Data ◽  
Entire Dataset

A central promise of cloud services is elastic, on-demand provisioning. The provisioning of data on temporarily available nodes is what makes elastic database services a hard problem. The essential task that enables elastic data services is bringing a node and its data up-to-date. Strategies for high availability do not satisfy the need in this context because they bring nodes online and up-to-date by repeating history, e.g., by log shipping. Nodes must become up-to-date and useful for query processing incrementally by key range. What is wanted is a technique such that in a newly added node, during each short period of time, an additional small key range becomes up-to-date, until eventually the entire dataset becomes up-to-date and useful for query processing, with overall update performance comparable to a traditional high-availability strategy that carries the entire dataset forward without regard to key ranges. Even without the entire dataset being available, the node is productive and participates in query processing tasks. The authors’ proposed solution relies on techniques from partitioned B-trees, adaptive merging, deferred maintenance of secondary indexes and of materialized views, and query optimization using materialized views. The paper introduces a family of maintenance strategies for temporarily available copies, the space of possible query execution plans and their cost functions, as well as appropriate query optimization techniques.

A Survey on Utilizing Cloud Services in the E-learning Process

2015 ◽  
Vol 6 (9) ◽  
pp. 1606-1612
Author(s):  
Zaydoon Mohammad Hatamleh ◽  
Eslam Najim Badran ◽  
Bilal Mohammad Hatamleh
Keyword(s):  
Learning Process ◽  
Cloud Services ◽  
E Learning

A Comparison of Query Processing Architectures and Transaction Processing

2012 ◽  
Vol 2 (4) ◽  
pp. 152-153 ◽  
Author(s):  
Sudhakara Reddy Mallidi ◽  
◽  
Gottipalla Ashok Kumar
Keyword(s):  
Query Processing ◽  
Transaction Processing ◽  
Processing Architectures

Range Query Processing in OLAP Skyline Cubes

2016 ◽  
Vol 136 (4) ◽  
pp. 576-587 ◽  
Author(s):  
Hideki Sato ◽  
Takayuki Usami
Keyword(s):  
Query Processing ◽  
Range Query ◽  
Range Query Processing

Implementaon of digital economy elements in electric power industry

2018 ◽  
Vol 11 (2) ◽  
pp. 94-102 ◽  
Author(s):  
A. G. Filimonov ◽  
N. D. Chichirova ◽  
A. A. Chichirov ◽  
A. A. Filimonovа
Keyword(s):  
Electric Power ◽  
Energy Production ◽  
Predictive Analytics ◽  
Digital Economy ◽  
Digital Transformation ◽  
Cloud Services ◽  
Small Scale ◽  
Economic Activities ◽  
Industrial Enterprises ◽  
Automation Systems

Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.

LOCATION BASED QUERY PROCESSING BY ANONYMIZER

2018 ◽  
Vol 5 (4) ◽  
pp. 7
Author(s):  
I. JENCY ◽  
Keyword(s):  
Query Processing

Terms of use of “edutainment” and “cloud technologies” in professional art education

2018 ◽  
pp. 132-133
Author(s):  
V. Lymarenko
Keyword(s):  
Art Education ◽  
Technological Development ◽  
Educational Process ◽  
Cloud Services ◽  
Practical Significance ◽  
Network Resources ◽  
Modern Computer ◽  
Information Products ◽  
Network Technologies ◽  
Cloud Technologies

Trends in technology lead to an increasing of their role in the development of humanity. Exactly “cloud technologies”, which are the basis for the technological development of the information society now, also they play the role of the leading tool of informatization of education, especially united with “edutainment”.During the development and implementation of software and network technologies in professional artistic education, the following issues remain unsolved: the provision of modern computer equipment and software, technical support for the stable work of information products, and the provision of selective authorized access for students to specific network resources. The methodology based on “cloud calculates” technology provides an opportunity to overcome these difficulties. And the last, but not at least, students may be attracted to the most promising areas of the development of modern information products.Actuality, practical significance, and insufficient development of these problems caused the choice of the topic of our research: “Terms of use of “edutainment” and “cloud technologies” in professional artistic education “.The aim of the research is to determine the conditions of the use of “edutainment” and “cloud technologies” in the preparation of future teachers of musical art.Methods of research: analysis of psychological and pedagogical literature in order to determine the state of development of the problem; synthesis, comparison, generalization for justifying the concepts of “edutainment” and “cloud technologies” and methods of their use in the educational process.This article deals with issues of the use of edutainment technologies and “cloud technologies”. It is offered conditions of using edutainment and “cloud technologies” in post-nonclassical professional art education on the example of subject “Musical Art”. Actual “cloud” services are analyzed and examples of their integration to educational process of professional art establishments are proposed.

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