Interactive Visualization of SDN-Enabled Multisite Cloud Playgrounds Leveraging SmartX MultiView Visibility Framework

Risdianto, Aris Cahyadi; Han, Jungsu; Kim, Jong-Won

doi:10.1093/comjnl/bxy103

Cited by 13 publications

(15 citation statements)

References 15 publications

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“…Presently, cloud DCs are being transformed to SDDCs on an experimental basis. This includes partial transformation, migration and integration processes where switching hardware is replaced with software-defined hardware equipment [63], [64]. This also includes integration of communication layers between legacy hardware equipment and DC facilities.…”

Section: Software-defined Data Centersmentioning

confidence: 99%

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Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Abbasi

Shamshirband

et al. 2019

IEEE Access

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Cloud computing concepts offer effective and efficient tools for addressing resource-hungry computational problems. While conventional methods, architectures, and processing techniques may limit cloud data center performance, software-defined cloud computing (SDCC) is an approach where virtualization services to all network resources in a dc are software-defined and where software-defined networking (SDN) and cloud computing go hand in hand. SDCC-related concepts change the previous state of affairs by promoting the centralized control of networking functions in a data center. A key objective of developing software-driven cloud infrastructure is that the networking hardware, software, storage, security, and network traffic management is open and interoperable. This facilitates easy installation and management of networking functions in the cloud infrastructure. Employing SDCC concepts to cloud data centers can improve resource administration challenges to a greater extent. This paper presents a survey on SDCC. We begin by introducing SDCC environments and explain its main architectural components. We identify the essential contributions of various developments to this field and discuss the implementation challenges and limitations faced in their adoption. We also explore the potential of SDCC in two domains, namely, resource orchestration and application development, as case studies of specific interest. In an attempt to anticipate the future evolution, we discuss the important research opportunities and challenges in this promising field.

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Section: Software-defined Data Centersmentioning

confidence: 99%

“…The easy creation and manipulation of SDEs enable modelbased deployment of various market-oriented standards. One of these upcoming standards is TOSCA [62], [63]. A simplified architecture of TOSCA cloud environment is presented in Fig.…”

Section: Recent Developments In Sdcc Model-based Solutionsmentioning

confidence: 99%

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Abbasi

Shamshirband

et al. 2019

IEEE Access

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“…We proposed SmartX MVF to deal with the multiple layers of visibility with associated visualization support for SDN-enabled multisite cloud [13]. Among multiple visibility layers, as shown in Figure 2, flow-layer is becoming crucial because it can help us to smoothly integrate several layers of visibilities together and verify packets that are flowing through the playground.…”

Section: Flow-centric Visibility Requirement For Unified Monitoringmentioning

confidence: 99%

“…There are four main functions that facilitate flexible processing of multi-layer visibility data. An aggregate underlay data function loads visibility data from the MongoDB datastore [13] of DataLake. Query and filter specify conditions for matching data and pushes the queries to the MongoDB to bring only matching data in the Spark executor program.…”

Section: Visibility Data Aggregation and Taggingmentioning

confidence: 99%

“…On the fetched data, grouping function average is applied to reduce the volume of data. Before saving the resultant data frame to the Elasticsearch [13] and Parquet [40] datastores, a timestamp field is added. A dataset is a distributed collection of data The design of visibility data aggregation and tagging component is shown in Figure 6.…”

Section: Visibility Data Aggregation and Taggingmentioning

confidence: 99%

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SmartX Multi-View Visibility Framework with Flow-Centric Visibility for SDN-Enabled Multisite Cloud Playground

Rathore

Kim

2019

Applied Sciences

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Modern information communication technologies (ICT) infrastructures are getting complicated to cope with the various demands needed to accommodate the emerging technology paradigms such as cloud, software-defined networking (SDN), and internet of things (IoT). Visibility is essential for the effective operation of such modern ICT infrastructures to easily pinpoint server faults, network bottlenecks, and application performance troubles. Even though many conventional monitoring solutions are now available, multi-layer visibility is still limited when operating such complicated infrastructures. To address this particular limitation, a futuristic multi-layer visibility framework denoted as SmartX multi-view visibility framework (MVF), is proposed for unifying the visibility of underlay, physical and virtual resources, flow, and workload layers. To unify multi-layer visibility, this paper presents a comprehensive extension of SmartX MVF with flow-centric visibility for simultaneously monitoring physical-virtual resources, flows classification, and visualization to eventually assist secured operation of SDN-enabled multisite cloud infrastructure. Flow-centric visibility design has five main components (1) a lightweight network packets-precise flows visibility collection component, (2) a visibility data aggregation and tagging component, (3) a multi-layer visibility data integration component, (4) a non-learning-based network packets flows classification component, and (5) a visualization component. Furthermore, a prototype implementation of SmartX MVF with flow-centric visibility is deployed in an SDN-enabled multisite cloud playground to verify the proposed multi-view visibility of fine-grained flow-aware physical-virtual resources.

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SmartX Multi‐View Visibility Framework for unified monitoring of SDN‐enabled multisite clouds

Kim

2019

Trans Emerging Tel Tech

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Modern ICT infrastructures are getting complicated to cope with the various demands to accommodate the emerging technology paradigms such as cloud, SDN, and IoT. In these ICT infrastructures, unified monitoring is essential to easily pinpoint server faults, network bottlenecks, and application performance issues for effective operation. Although many traditional monitoring solutions are now available, unified monitoring has not kept pace, creating a big gap when operating these modern infrastructures. To address this particular limitation, in this paper, a futuristic multilayer visibility framework, denoted as SmartX Multi-View Visibility Framework (MVF), is proposed by unifying the visibility of physical and virtual resource, flow, and workload layers for timely detection and mitigation of various operational issues. Based on our experience of working with Future Internet testbeds, we first design SmartX MVF to enable visibility collection and validation from distributed MPs. Then, we link it with subsequent visibility integration capability empowered by DataLake-based visibility storage for interactive visualization of collected visibility. Furthermore, a prototype implementation of SmartX MVF is developed and deployed in OF@TEIN

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Interactive Visualization of SDN-Enabled Multisite Cloud Playgrounds Leveraging SmartX MultiView Visibility Framework

Cited by 13 publications

References 15 publications

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments

SmartX Multi-View Visibility Framework with Flow-Centric Visibility for SDN-Enabled Multisite Cloud Playground

SmartX Multi‐View Visibility Framework for unified monitoring of SDN‐enabled multisite clouds

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