Distributed virtual machine consolidation: A systematic mapping study

Ashraf, Adnan; Byholm, Benjamin; Porres, Iván

doi:10.1016/j.cosrev.2018.02.003

Cited by 20 publications

(10 citation statements)

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“…This paper presents details on the overall capability of blockchain and its security parameters, which sheds light on the security design characteristics, mechanisms, and potential applicability. In order to accomplish our goal, we employed a systematic review approach based on the software engineering community research involving guidelines for creating a compelling research overview [41,58,59]. Utilizing the systematic review, a total of 40 primary studies have been identified as fitting to our research objective (See Section 3.2).…”

Section: Overviewmentioning

confidence: 99%

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach

et al. 2021

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Section: Overviewmentioning

confidence: 99%

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach

et al. 2021

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“…As a result, resources are better utilized thus, increasing the return on investment (ROI) [45]. VM consolidation technique achieves energy saving by eliminating idle power consumption through switching idle hosts to low power mode such as sleep or hibernate modes [66,67]. One of the capabilities of virtualization is VM relocation between compute nodes, known as migration [68].…”

Section: Consolidation Of Virtual Machines (Vm)mentioning

confidence: 99%

Green Cloud Software Engineering for Big Data Processing

et al. 2020

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Internet of Things (IoT) coupled with big data analytics is emerging as the core of smart and sustainable systems which bolsters economic, environmental and social sustainability. Cloud-based data centers provide high performance computing power to analyze voluminous IoT data to provide invaluable insights to support decision making. However, multifarious servers in data centers appear to be the black hole of superfluous energy consumption that contributes to 23% of the global carbon dioxide (CO2) emissions in ICT (Information and Communication Technology) industry. IoT-related energy research focuses on low-power sensors and enhanced machine-to-machine communication performance. To date, cloud-based data centers still face energy–related challenges which are detrimental to the environment. Virtual machine (VM) consolidation is a well-known approach to affect energy-efficient cloud infrastructures. Although several research works demonstrate positive results for VM consolidation in simulated environments, there is a gap for investigations on real, physical cloud infrastructure for big data workloads. This research work addresses the gap of conducting real physical cloud infrastructure-based experiments. The primary goal of setting up a real physical cloud infrastructure is for the evaluation of dynamic VM consolidation approaches which include integrated algorithms from existing relevant research. An open source VM consolidation framework, Openstack NEAT is adopted and experiments are conducted on a Multi-node Openstack Cloud with Apache Spark as the big data platform. Open sourced Openstack has been deployed because it enables rapid innovation, and boosts scalability as well as resource utilization. Additionally, this research work investigates the performance based on service level agreement (SLA) metrics and energy usage of compute hosts. Relevant results concerning the best performing combination of algorithms are presented and discussed.

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“…Each primary study was evaluated based on the questionnaire mentioned above, in which each question was scored as follows [27,28]:…”

Section: Study Quality Assessmentmentioning

confidence: 99%

“…A study can have maximum 18 points and minimum 0 points. We defined 4.5 points as our cut-off point (i.e., first quartile) of our quality assessment scale [27,28]. The studies with a score of 4.5 or less were excluded from this study.…”

Section: Study Quality Assessmentmentioning

confidence: 99%

Model-based testing using UML activity diagrams: A systematic mapping study

Ahmad

Iqbal

Ashraf

et al. 2019

Computer Science Review

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Context:The Unified Modeling Language (UML) has become the de facto standard for software modeling. UML models are often used to visualize, understand, and communicate the structure and behavior of a system. UML activity diagrams (ADs) are often used to elaborate and visualize individual use cases. Due to their higher level of abstraction and process-oriented perspective, UML ADs are also highly suitable for model-based test generation. In the last two decades, different researchers have used UML ADs for test generation. Despite the growing use of UML ADs for model-based testing, there are currently no comprehensive and unbiased studies on the topic. Objective: To present a comprehensive and unbiased overview of the state-of-the-art on model-based testing using UML ADs. Method: We review and structure the current body of knowledge on model-based testing using UML ADs by performing a systematic mapping study using well-known guidelines. We pose nine research questions, outline our selection criteria, and develop a classification scheme. Results: The results comprise 41 primary studies analyzed against nine research questions. We also highlight the current trends and research gaps in model-based testing using UML ADs and discuss some shortcomings for researchers and practitioners working in this area. The results show that the existing approaches on model-based testing using UML ADs tend to rely on intermediate formats and formalisms for model verification and test generation, employ a multitude of graph-based coverage criteria, and use graph search algorithms. Conclusion: We present a comprehensive overview of the existing approaches on model-based testing using UML ADs. We conclude that (1) UML ADs are not being used for non-functional testing, (2) only a few approaches have been validated against realistic, industrial case studies, (3) most approaches target very restricted application domains, and (4) there is currently a clear lack of holistic approaches for model-based testing using UML ADs.

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Distributed virtual machine consolidation: A systematic mapping study

Cited by 20 publications

References 61 publications

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach

Green Cloud Software Engineering for Big Data Processing

Model-based testing using UML activity diagrams: A systematic mapping study

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