Data management in microservices

2021 ◽  
Vol 14 (13) ◽  
pp. 3348-3361
Author(s):  
Rodrigo Laigner ◽  
Yongluan Zhou ◽  
Marcos Antonio Vaz Salles ◽  
Yijian Liu ◽  
Marcos Kalinowski

Microservices have become a popular architectural style for data-driven applications, given their ability to functionally decompose an application into small and autonomous services to achieve scalability, strong isolation, and specialization of database systems to the workloads and data formats of each service. Despite the accelerating industrial adoption of this architectural style, an investigation of the state of the practice and challenges practitioners face regarding data management in microservices is lacking. To bridge this gap, we conducted a systematic literature review of representative articles reporting the adoption of microservices, we analyzed a set of popular open-source microservice applications, and we conducted an online survey to cross-validate the findings of the previous steps with the perceptions and experiences of over 120 experienced practitioners and researchers. Through this process, we were able to categorize the state of practice of data management in microservices and observe several foundational challenges that cannot be solved by software engineering practices alone, but rather require system-level support to alleviate the burden imposed on practitioners. We discuss the shortcomings of state-of-the-art database systems regarding microservices and we conclude by devising a set of features for microservice-oriented database systems.

1982 ◽  
Vol 3 (2) ◽  
pp. 136
Author(s):  
Stephen W. Singer ◽  
Barbara S. Hawkins ◽  
M.Marvin Newhouse

2017 ◽  
Vol 2 (2) ◽  
pp. 91 ◽  
Author(s):  
Carolina Quintero Rodriguez ◽  
Anna Anisimova ◽  
Sean Ryan ◽  
Olga Troynikov

<p>This study aims to understand the needs of plus-size pregnant women and critical design aspects for a pregnancy support garment and to emphasize the importance of inclusive design in this important product category.</p><p>The research examines the historical and societal connotations of maternity and the changes in support garment design associated with changes in the perception of the modern plus size Madonna. At the same time, it analyses the state-of-the-art in modern maternity support garments and examines data, gathered through a pilot online survey. </p>


2013 ◽  
Vol 10 (7) ◽  
pp. 10937-10995 ◽  
Author(s):  
A. M. Foley ◽  
D. Dalmonech ◽  
A. D. Friend ◽  
F. Aires ◽  
A. Archibald ◽  
...  

Abstract. Earth system models are increasing in complexity and incorporating more processes than their predecessors, making them important tools for studying the global carbon cycle. However, their coupled behaviour has only recently been examined in any detail, and has yielded a very wide range of outcomes, with coupled climate-carbon cycle models that represent land-use change simulating total land carbon stores by 2100 that vary by as much as 600 Pg C given the same emissions scenario. This large uncertainty is associated with differences in how key processes are simulated in different models, and illustrates the necessity of determining which models are most realistic using rigorous model evaluation methodologies. Here we assess the state-of-the-art with respect to evaluation of Earth system models, with a particular emphasis on the simulation of the carbon cycle and associated biospheric processes. We examine some of the new advances and remaining uncertainties relating to (i) modern and palaeo data and (ii) metrics for evaluation, and discuss a range of strategies, such as the inclusion of pre-calibration, combined process- and system-level evaluation, and the use of emergent constraints, that can contribute towards the development of more robust evaluation schemes. An increasingly data-rich environment offers more opportunities for model evaluation, but it is also a challenge, as more knowledge about data uncertainties is required in order to determine robust evaluation methodologies that move the field of ESM evaluation from "beauty contest" toward the development of useful constraints on model behaviour.


2011 ◽  
Vol 109 ◽  
pp. 738-742 ◽  
Author(s):  
Hui Zheng ◽  
Yuan Xu

We survey the state-of-the-art in mobile internet data management. We focus on the models and searching methods presented in the literature. We explore the models and searching methods in mobile internet data management from two perspectives: application area and research content. We outline the entire landscape of the models and searching methods of mobile internet data management from researcher’s point of view. Some researchers have proposed the models and searching methods to achieve the data management of mobile internet. But there are many open issues which still need to be addressed.


2002 ◽  
pp. 17-65
Author(s):  
Laura C. Rivero ◽  
Jorge H. Doorn ◽  
Viviana E. Ferraggine

In Part I, this chapter surveys the state of the art of the semantic integrity constraints in some relational and object relational available database systems. In Part II, it also provides an overview of the SQL standard integrity issues and describes semantic integrity support in the following DBMSs: Oracle, IBM DB2, Informix, Sybase and PostgreSQL. The major differences and similarities among these systems are analyzed in relation to the definition, semantics and fidelity to the SQL standard prescriptions.


2013 ◽  
Vol 10 (12) ◽  
pp. 8305-8328 ◽  
Author(s):  
A. M. Foley ◽  
D. Dalmonech ◽  
A. D. Friend ◽  
F. Aires ◽  
A. T. Archibald ◽  
...  

Abstract. Earth system models (ESMs) are increasing in complexity by incorporating more processes than their predecessors, making them potentially important tools for studying the evolution of climate and associated biogeochemical cycles. However, their coupled behaviour has only recently been examined in any detail, and has yielded a very wide range of outcomes. For example, coupled climate–carbon cycle models that represent land-use change simulate total land carbon stores at 2100 that vary by as much as 600 Pg C, given the same emissions scenario. This large uncertainty is associated with differences in how key processes are simulated in different models, and illustrates the necessity of determining which models are most realistic using rigorous methods of model evaluation. Here we assess the state-of-the-art in evaluation of ESMs, with a particular emphasis on the simulation of the carbon cycle and associated biospheric processes. We examine some of the new advances and remaining uncertainties relating to (i) modern and palaeodata and (ii) metrics for evaluation. We note that the practice of averaging results from many models is unreliable and no substitute for proper evaluation of individual models. We discuss a range of strategies, such as the inclusion of pre-calibration, combined process- and system-level evaluation, and the use of emergent constraints, that can contribute to the development of more robust evaluation schemes. An increasingly data-rich environment offers more opportunities for model evaluation, but also presents a challenge. Improved knowledge of data uncertainties is still necessary to move the field of ESM evaluation away from a "beauty contest" towards the development of useful constraints on model outcomes.


Author(s):  
T. A. Welton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.


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