Monitoring Container Services at the Network Edge

GroBmann, Marcel; Klug, Clemens

doi:10.23919/itc.2017.8064348

Cited by 36 publications

(19 citation statements)

References 2 publications

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“…Several works already published have explored topics related to service monitoring, as well as models and metrics for QoS assurance. Whether in the cloud [11], using microservices [12] or even in monitoring services at the edge [13], varied solutions and results have been presented.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Finally, the monitoring of services deployed in containers is present in the works [13] and [14]. In the work published in [13] the authors present a framework called PyMon that uses the Docker management API to obtain statistics of resources used by containers. Unlike [13], the present study uses libraries to monitor processes inside the containers, thus allowing the effective monitoring of a container that performs a multiservice or multi-process environment.…”

Section: Related Workmentioning

confidence: 99%

“…In the work published in [13] the authors present a framework called PyMon that uses the Docker management API to obtain statistics of resources used by containers. Unlike [13], the present study uses libraries to monitor processes inside the containers, thus allowing the effective monitoring of a container that performs a multiservice or multi-process environment. The work presented in [14] brings an assessment of the use of Docker containers versus the use of Virtual Machines.…”

Section: Related Workmentioning

confidence: 99%

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Osmotic Monitoring of Microservices between the Edge and Cloud

Souza

Cacho

Noor

et al. 2018

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference On

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Osmotic computing is a new IoT application programming paradigm thats driven by the significant increase in resource capacity/capability at the network edge, along with support for data transfer protocols that enable such resources to interact more seamlessly with Cloud-based services. Much of the difficulty in QoS and performance monitoring of IoT applications in an Osmotic computing environment is due to the massive scale and heterogeneity (IoT + Edge + Cloud) of computing environments. To, this end, this work presents an integrated monitoring system for monitoring IoT applications decomposed as microservices and executed in an Osmotic computing environment. A real-world smart parking IoT application is used for an experimental evaluation and for demonstrating the effectiveness of the proposed approach. Through rigorous experimental evaluation, we validate the Osmotic monitoring system ability to holistically identify variation in CPU, memory, and network latency of microservices deployed across Cloud and Edge layers.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Osmotic Monitoring of Microservices between the Edge and Cloud

Souza

Cacho

Noor

et al. 2018

2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference On

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“…Container platforms like Docker [15][16][17] are gaining increasing attention also for edge and Fog computing applications. In this challenging scenario, the possibility of moving from centralized to decentralized paradigm to offload the processing to the edge reducing application response time and improving overall user experience will play a fundamental role in Internet of Things.…”

Section: Related Workmentioning

confidence: 99%

Virtual Replication of IoT Hubs in the Cloud: A Flexible Approach to Smart Object Management

Cirani¹,

Ferrari

Mancin

et al. 2018

JSAN

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Abstract:In future years, the Internet of Things is expected to interconnect billions of highly heterogeneous devices, denoted as "smart objects", enabling the development of innovative distributed applications. Smart objects are constrained sensor/actuator-equipped devices, in terms of computational power and available memory. In order to cope with the diverse physical connectivity technologies of smart objects, the Internet Protocol is foreseen as the common "language" for full interoperability and as a unifying factor for integration with the Internet. Large-scale platforms for interconnected devices are required to effectively manage resources provided by smart objects. In this work, we present a novel architecture for the management of large numbers of resources in a scalable, seamless, and secure way. The proposed architecture is based on a network element, denoted as IoT Hub, placed at the border of the constrained network, which implements the following functions: service discovery; border router; HTTP/Constrained Application Protocol (CoAP) and CoAP/CoAP proxy; cache; and resource directory. In order to protect smart objects (which cannot, because of their constrained nature, serve a large number of concurrent requests) and the IoT Hub (which serves as a gateway to the constrained network), we introduce the concept of virtual IoT Hub replica: a Cloud-based "entity" replicating all the functions of a physical IoT Hub, which external clients will query to access resources. IoT Hub replicas are constantly synchronized with the physical IoT Hub through a low-overhead protocol based on Message Queue Telemetry Transport (MQTT). An experimental evaluation, proving the feasibility and advantages of the proposed architecture, is presented.

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