{"title":"An Availability-Aware SFC Placement Algorithm for Fat-Tree Data Centers","authors":"Ghada Moualla, T. Turletti, D. Saucez","doi":"10.1109/CloudNet.2018.8549338","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549338","url":null,"abstract":"Complex inter-connections of virtual functions form the so-called Service Function Chains (SFCs) deployed in the Cloud. Such service chains are used for critical services like e-health or autonomous transportation systems and thus require high availability. Respecting some availability level is hard in general, but it becomes even harder if the operator of the service is not aware of the physical infrastructure that will support the service, which is the case when SFCs are deployed in multi-tenant data centers. In this paper, we propose an algorithm to solve the placement of topology-oblivious SFC demands such that placed SFCs respect availability constraints imposed by the tenant. The algorithm leverages Fat-Tree properties to be computationally doable in an online manner. The simulation results show that it is able to satisfy as many demands as possible by spreading the load between the replicas and enhancing the network resources utilization.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sabidur Rahman, Hyunsu Mun, Hyongjin Lee, Youngseok Lee, M. Tornatore, B. Mukherjee
{"title":"Insights from Analysis of Video Streaming Data to Improve Resource Management","authors":"Sabidur Rahman, Hyunsu Mun, Hyongjin Lee, Youngseok Lee, M. Tornatore, B. Mukherjee","doi":"10.1109/CloudNet.2018.8549180","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549180","url":null,"abstract":"Today a large portion of Internet traffic is video. Over The Top (OTT) service providers offer video streaming services by creating a large distributed cloud network on top of a physical infrastructure owned by multiple entities. Our study explores insights from video streaming activity by analyzing data collected from Korea's largest OTT service provider. Our analysis of nationwide data shows interesting characteristics of video streaming such as correlation between user profile information (e.g., age, sex) and viewing habits, viewing habits of users (when do the users watch? using which devices?), viewing patterns (early leaving viewer vs. steady viewer), etc. Video on Demand (VoD) streaming involves costly (and often limited) compute, storage, and network resources. Findings from our study will be beneficial for OTTs, Content Delivery Networks (CDNs), Internet Service Providers (ISPs), and Carrier Network Operators, to improve their resource allocation and management techniques.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130814154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Infrastructure as a Service for the Internet of Things","authors":"M. Alam, R. Glitho","doi":"10.1109/CloudNet.2018.8549493","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549493","url":null,"abstract":"Internet of Things (IoT) enables a plethora of applications. However provisioning these applications in a cost-efficient manner, as well as decoupling the applications from the underlying IoT devices remains a challenge that cloud computing may aid in tackling. This paper proposes an architecture for an IoT Infrastructure as a Service (IaaS) to address these issues. Like any other cloud IaaS, the proposed IaaS relies on virtualization to realize cost efficiency. The high-level Application Programming Interfaces (APIs) that enable IoT cloud consumers (e.g. IoT PaaS) to use the virtualized resources are described, as well as the lower level APIs that make possible the management of the actual pool of IoT physical resources. The subjacent functional entities (e.g. orchestrator, publisher, repository access engine, physical and virtual sensor repositories) are introduced, as well as the related interfaces. A proof of concept prototype is built and performance measurements are made. Advanticsys and Virtenio sensors are used as physical sensors.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"59 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130022035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}