@proceedings {Puliafito201897, title = {Companion fog computing: supporting things mobility through container migration at the edge}, journal = {Proceedings - 2018 IEEE International Conference on Smart Computing, SMARTCOMP 2018}, year = {2018}, note = {cited By 0; Conference of 4th IEEE International Conference on Smart Computing, SMARTCOMP 2018 ; Conference Date: 18 June 2018 Through 20 June 2018; Conference Code:138285}, pages = {97-105}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, address = {Taormina, Italy - 18-20 June 2018}, abstract = {

Due to their intrinsic resource constraints, the mobile Internet of Things (IoT) devices are not able to provide intensive services by just relying on their own facilities. Fog Computing effectively helps overcome this hurdle. Indeed, it extends the Cloud toward the network edge, distributing resources and services of computing, storage, and networking close to the end devices. This topological proximity is the key enabler of several advantages that are essential in many emerging ICT domains. Nonetheless, the mobility of an IoT device compromises such benefits as it increases the topological distance to the serving Fog node. Therefore, the Fog service has to be migrated in order to be always close enough to the served IoT device. We name this Companion Fog Computing (CFC), since the Fog service behaves as a {\textquoteright}companion{\textquoteright} of the correspondent application on the mobile device. In this paper, we present a Fog Computing Platform that performs stateful container (i.e., Fog service) migrations in order to enable CFC. Specifically, we introduce a CFC model from which we derive a reference architecture comprising all the functionalities required in a platform to make migration decisions and carry them out. Moreover, we demonstrate the soundness of the proposed reference architecture by discussing a proof-of-concept implementation based on the Stack4Things (S4T) platform, and we report a set of conducted experiments to show the feasibility of stateful container migrations. {\textcopyright} 2018 IEEE.

}, keywords = {Carrier mobility, Computing platform, containers, Docker, Fog, Fog computing, Internet of Things, Migration, Mobile devices, Network architecture, Proof of concept, Reference architecture, Resource Constraint, Topological distance, Topological proximity, Topology}, isbn = {9781538647059}, doi = {10.1109/SMARTCOMP.2018.00079}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051489867\&doi=10.1109\%2fSMARTCOMP.2018.00079\&partnerID=40\&md5=4a8069123a5f19d5e842a86b2e9163f4}, author = {Carlo Puliafito and Enzo Mingozzi and Carlo Vallati and Francesco Longo and Giovanni Merlino} } @proceedings {Bruneo2016175, title = {Multi-level adaptations in a CloudWave infrastructure: A telco use case}, journal = {European Conference on Service-Oriented and Cloud Computing}, volume = {567}, year = {2015}, note = {cited By 1; Conference of Workshops on CLIoT, WAS4FI, SeaClouds, CloudWay, IDEA, FedCloudNet 2015 held in conjunction with European Conference on Service-Oriented and Cloud Computing, ESOCC 2015 ; Conference Date: 15 September 2015 Through 17 September 2015; Conference Code:174149}, pages = {175-183}, publisher = {Springer Verlag}, address = {Taormina (Italy)}, abstract = {

CloudWave is a FP7 EU project whose aim is delivering novel technologies and methods for improving both the development of Cloud services and the management of their operation and execution. Such goal is reached by providing mechanisms and policies for coordinating multiple adaptations both at the level of the Cloud infrastructure and at the level of the hosted applications. In this paper, we describe the CloudWave Telco application use case and we provide a proof of concept discussing how the QoS experienced by the application users can be improved thanks to the technologies provided by CloudWave. {\textcopyright} Springer International Publishing Switzerland 2016.

}, keywords = {cloud computing, Cloud infrastructures, Cloud services, Eu projects, Multilevels, Multiple adaptation, Proof of concept, Quality of service}, isbn = {9783319333120}, issn = {18650929}, doi = {10.1007/978-3-319-33313-7_13}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966667439\&doi=10.1007\%2f978-3-319-33313-7_13\&partnerID=40\&md5=00474a6170ba9f89b97c8a7ef8c59fce}, author = {Dario Bruneo and Francesco Longo and Boris Moltchanov} }