NoSQL database systems: a survey and decision guidance

Gessert, Felix; Wingerath, Wolfram; Friedrich, Steffen; Ritter, Norbert

doi:10.1007/s00450-016-0334-3

Cited by 94 publications

(74 citation statements)

References 30 publications

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“…Additionally, previously unpublished ETL algorithms have been designed to standardize the raw Furthermore, the NoSQL database has been faster in the processing of information (Figure 21b). However, in the current study, we opted for a relational database, due to the fact, that when working with critical information, the concepts of ACID (atomicity, consistency, isolation and durability) have been fundamental to safeguard the data [51]. This recommendation also establishes that most of the NoSQL databases have not been located in mission critical applications, which in turn require high security, high availability, disaster recovery, modes of replication, implementation modes, besides others.…”

Section: Discussionmentioning

confidence: 99%

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

Fuertes

Collazo-Reyes

Valladares

et al. 2017

Systems

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Cyber-attacks have increased in severity and complexity. That requires, that the CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the design of an integral model based on Business Intelligence (BI), which provides reactive and proactive services in a CSIRT, in order to alert and reduce any suspicious or malicious activity on information systems and data networks. To achieve this purpose, a solution has been assembled, that generates information stores, being compiled from a continuous network transmission of several internal and external sources of an organization. However, it contemplates a data warehouse, which is focused like a correlator of logs, being formed by the information of feeds with diverse formats. Furthermore, it analyzed attack detection and port scanning, obtained from sensors such as Snort and Passive Vulnerability Scanner, which are stored in a database, where the logs have been generated by the systems. With such inputs, we designed and implemented BI systems using the phases of the Ralph Kimball methodology, ETL and OLAP processes. In addition, a software application has been implemented using the SCRUM methodology, which allowed to link the obtained logs to the BI system for visualization in dynamic dashboards, with the purpose of generating early alerts and constructing complex queries using the user interface through objects structures. The results demonstrate, that this solution has generated early warnings based on the level of criticality and level of sensitivity of malware and vulnerabilities as well as monitoring efficiency, increasing the level of security of member institutions.

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Section: Discussionmentioning

confidence: 99%

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

Fuertes

Collazo-Reyes

Valladares

et al. 2017

Systems

View full text Add to dashboard Cite

show abstract

“…This section introduces a classification of the non-functional features (see Fig. 3) of DMSs in the Big Data domain extracted from [10,13,[35][36][37]. Figure 3 provides an overview of the relevant non-functional features while the following subsections attempt to analyse each of them.…”

Section: Non-functional Data Management Featuresmentioning

confidence: 99%

A survey on data storage and placement methodologies for Cloud-Big Data ecosystem

et al. 2019

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Over the time, the type of applications has evolved from batch, compute or memory intensive applications to streaming or even interactive applications. As a result, applications are getting more complex and become long-running. Such applications might require frequent-access to multiple distributed data sources. During application deployment and provisioning, the user can face various issues such as (i) where to effectively place both the data and the computation; (ii) how to achieve required objectives while reducing the overall application running cost. Data could be generated from various sources, including a multitude of devices over IoT environments that can generate a huge amount of data, while the applications are running. An application can further produce a large amount of data. In general, data of such size is usually referred to as Big Data. In general, Big Data is characterised by five properties [1, 2]. These are volume, velocity (means rapid update and propagation of data), variety

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“…At the same time an SLA name among with a valid future expiration date and at least one SLO are needed. The result is the generation of the SLA template in form of a descriptor, and the storage of it in a NoSQL database [3,4]. The aforementioned SLA Descriptor (SLAD) is based on WS-Agreement specification [5,6], as depicted in Figure 2.…”

Section: A Sla Template Generationmentioning

confidence: 99%

An Integrated SLA Management Framework in a 5G Environment

Touloupou

Kapassa

Symvoulidis

et al. 2019

2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)

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A key feature of fifth generation (5G) and Software Defined Networking (SDN) is the assurance of high levels of the quality of service (QoS). To this end, Service Level Agreements (SLAs) are introduced in order to fulfill the gap between network operators and their customers. An SLA is a contract between the operator and the internal or external customer, which determines what Network Services (NSs) are offered and the guaranteed level of performance. Taking into consideration the above-mentioned needs, in this paper, we are introducing a fully integrated SLA management framework in a real 5G environment. In this demonstration we aim to bind business requirements as Service Level Objectives (SLOs) between network operators and the customers, with measurable recourse attributes. To achieve this, we allow network operators to choose between different SLOs during the SLA Template generation, and then automatically formulate an Agreement, based on each network slice instantiation and the corresponding NS. Finally, we provide a monitoring system in order to detect and alert for any violations.

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NoSQL database systems: a survey and decision guidance

Cited by 94 publications

References 30 publications

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence

A survey on data storage and placement methodologies for Cloud-Big Data ecosystem

An Integrated SLA Management Framework in a 5G Environment

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