EAI Endorsed Transactions on Cloud Systems

EAI Endorsed Transactions on Cloud Systems

Basic info

  • Publisher: European Alliance for Innovation
  • Country of publisher: belgium
  • Date added to EuroPub: 2019/Jun/07

Subject and more

  • LCC Subject Category: Computer and Information Science
  • Publisher's keywords: Multi-Tenancy, Monitoring and Metering, Energy Management in Cloud Centers, Virtualization Technology, Internet of Things (IoT) and Mobile Cloud, Cloud Architecture and Foundation Services
  • Language of fulltext: english

Publication charges

  • Article Processing Charges (APCs): No
  • Submission charges: No
  • Waiver policy for charges? No

Editorial information

Open access & licensing

  • Type of License: CC BY
  • License terms
  • Open Access Statement: Yes
  • Year open access content began: 2015
  • Does the author retain unrestricted copyright? True
  • Does the author retain publishing rights? True

Best practice polices

  • Permanent article identifier: DOI
  • Content digitally archived in:
  • Deposit policy registered in: None

This journal has '62' articles

Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief

Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief

Authors: Benny Mandler, David Carrera
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Abstract

On behalf of the Editorial board, we welcome you to the inaugural issue of the ICST Transactions on IoT-asa-Service! We are delighted to launch this new transactions journal after a preparatory process that has received encouraging support from the Editorial Board and from ICST / EAI. The Internet of Things (IoT) era is widely seen as looming just around the corner, expected to have a significant impact on most aspects of entities of all kinds, from citizens through enterprises small and large to government bodies. The amount of smart devices is huge and grows in a staggering rate, while connectivity gets a wider coverage. Smart objects get immersed in everyday life and the amount and variety of contextual data they can produce, or the actions they can take on their immediate environment, is enormous. At the same time smart objects are becoming more capable and sophisticated by having stronger processing power, larger amounts of storage, and longer battery life. For this trend to have a big impact, be successful, and be widely adopted and useful it needs to be tightly integrated with the most advanced operational technology trend manifested by a cloud backed “Everything as a Service”. IoT poses various specific challenges, which are not yet covered by existing cloud offerings, chief among these are the heterogeneity, security and scalability issues. In addition, developing and deploying IoT based applications should be made as accessible as possible such that the entry barrier for new innovations in this area is lowered.

Keywords: Welcome message, the Special issue
Multipath Bandwidth Scavenging in the Internet of Things

Multipath Bandwidth Scavenging in the Internet of Things

Authors: Isabel Montes, Romel Parmis, Roel Ocampo, Cedric Festin
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Abstract

To meet the infrastructure coverage and capacity needed by future IoT applications, service providers may engage in mutually-beneficial modes of collaboration such as cooperative packet forwarding and gatewaying through fixed backhauls and Internet uplinks. In an effort to enable these modes of resource pooling while minimizing negative impact on collaborating providers, we developed a transport-layer approach that would enable IoT nodes to opportunistically scavenge for idle bandwidth across multiple paths. Our approach combinesmultipath techniques with less-than-best effort (LBE) congestion control methods. Initial tests using the TCP-LP and LEDBAT LBE algorithms on scavenging secondary flows show that this desired functionality can be achieved. To ensure however that IoT nodes are guaranteed at least one flow that fairly competes for fair share of network capacity, one flow called the primary flow uses standard TCP congestion control.

Keywords: Internet of Things, bandwidth scavenging, less-than-best-effort, congestion control, multipath flows
Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing

Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing

Authors: Davide Mulfari, Antonio Celesti, Maria Fazio, Massimo Villari, Antonio Puliafito
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Abstract

This paper discusses how programmable embedded IoT systems may be a challenge for the development of Assistive Technologies (ATs), with particular reference to the Human-Computer Interaction (HCI). Nowadays, users with disabilities access computer-based devices by using tailored AT solutions equipped with specialized software components closely tied to the physical device. We propose to decouple the AT tools from the computers and/or ICT (Information and Communication Technology) systems. The main advantage of such a solution is the high flexibility for users with disabilities in using their personal AT equipments to access/control different types of computers and ICT systems. To avoid manual driver installation and software configuration on each available computer, the IoT component makes use of Cloud technology and services to customize the AT environment according to the user’s needs and preferences.

Keywords: Assistive Technology, Embedded Systems, Cloud Computing, Internet of Things, Human Computer Interaction, Users with disabilities
Service Co-evolution in the Internet of Things

Service Co-evolution in the Internet of Things

Authors: Huu Tam Tran, Harun Baraki, Kurt Geihs
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Abstract

The envisioned Internet of Things (IoT) foresees a future Internet incorporating smart physical objects that offer hosted functionality as IoT services. This service-based integration of IoT will be smarter, easier to communicate with and more valuable for enriching our environment. However, the interfaces and services can be modified due to updates and amendments. Such modifications require adaptations in all participating parties. Therefore, the aim of this research is to present a vision of service co-evolution in IoT. Moreover, we propose a novel agent architecture which supports the evolution by controlling service versions, updating local service instances and enabling the collaboration of agents. In this way, the service co-evolution can make systems more adaptive, efficient and reduce costs to manage maintenance.

Keywords: Service co-evolution, Coordinating agents, IoT services, Web services, Adaptive services
Social Aspect of Vehicular Communications

Social Aspect of Vehicular Communications

Authors: Leandros A. Maglaras, Efstathios Stathakidis, Jianmin Jiang
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Abstract

The interconnection of devices is expected to grow and to incorporate systems that used to be isolated. As the vehicle evolves from a simple transport machine to an intelligent entity that collects information from the environment and uses it in order to take decisions in real time, it is becoming an active member of a smart city. The integration of vehicular communications with smartphones helps vehicles connect with each other and take decisions that improve driving in terms of safety, reduced fuel consumption and comfort. The social behavior of drivers is an asset that can be used in order to predict their mobility in a city and to produce novel algorithms that can cope with these aspects in an ecient way. In this article, we present a social perspective of ad hoc vehicular networks and propose novel ranking, clustering and routing methods. We also discuss security issues that arise from the interconnection of vehicles.

Keywords: Social networks, vehicular ad hoc networks, LTE, intelligent transportation systems, Internet of Vehicles(IoV)
BETaaS platform – a Things as a Service Environment for future M2M marketplaces

BETaaS platform – a Things as a Service Environment for future M2M marketplaces

Authors: Bayu Anggorojati, Sofoklis Kyriazakos, Neeli Prasad, Carlo Vallati, Enzo Mingozzi, Giacomo Tanganelli, Novella Buonaccorsi, Belén Martínez, Francisco...
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Abstract

Building the Environment for Things as a Service (BETaaS) is a novel platform for the deployment and execution of contentcentric Machine-to-Machine (M2M) applications, which relies on a local cloud of gateways. BETaaS platform provides a uniform interface and services to map content with things in a context-aware manner. Deployment of services for the execution of applications is dynamic and takes into account the computational resources of the low-end physical devices used. To this aim, BETaaS platform is based on a suitable defined Internet of Things (IoT) model, allowing the integration of the BETaaS components within the future Internet environment. In this paper we present the BETaaS concept, the high level platform architecture and application scenarios that extend the state-of-the-art in M2M communications and open the horizon for future M2M marketplaces.

Keywords: IoT, M2M, Local cloud, TaaS
Accessible Wayfinding Testbed: Infrastructure and Components

Accessible Wayfinding Testbed: Infrastructure and Components

Authors: Hassan Karimi, Mahdi Hashemi
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Abstract

Despite considerable recent interest in research related to wayfinding and navigation of pedestrians, the needs and preferences of people with disabilities (PWDs) are not yet fully addressed. Some of still unaddressed issues are related to understanding the different mobility challenges of PWDs, while others are related to the accessibility of routes and navigation systems/services. Emergence of advanced systems and services that can assist PWDs in wayfinding and navigation calls for the development of an accessible wayfinding platform facilitating the evaluation of accessibility of indoor and outdoor routes. In this paper, we propose and present an accessible wayfinding testbed which has three components: database, accessibility index, and visualization. The database component includes networks of sidewalks outdoors and building elements indoors with accessibility elements for PWDs. The accessibility index determines the level of accessibility of each element in a network as is perceived by PWDs. The visualization component visualizes the routes, accessible and others, in a simple form allowing PWDs, urban planners, and software developers, among others, to evaluate the accessibility of the travelling environment. The paper discusses the details of the testbed and a prototype accessible wayfinding testbed.

Keywords: accessible way finding, accessibility database, accessibility visualization, people with disabilities
Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot

Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot

Authors: Tomi Hasan, Panayotis Kikiras, Alessandro Leonardi, Holger Ziekow, Jörg Daubert
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Abstract

The transformation of electrical grids into smart-grid is seen as one of the major technological challenges of our times and at the same time as one of the key domains for Internet of Things (IoT). Smart-home technologies and corresponding analytics are an integral part of many use cases in this field. In this paper we present a cloud-based test bed for capturing and analyzing smart-home data and report on experiences from a 3 year pilot with a cloud-based system. We discuss on real-world challenges that we encountered throughout the pilot - e.g. related to big data volumes and data quality - and describe corresponding technical solutions.

Keywords: smart-home, iot, analytics
A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing

A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing

Authors: Liyun Zuo, Lei Shu, Shoubin Dong, Zhangbing Zhou, Lei Wang
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Abstract

Cloud resource and its load have dynamic characteristics. To address this challenge, a dynamic self-adaptive evaluation method (termed SDWM) is proposed in this paper. SDWM uses some dynamic evaluation indicators to evaluate resource state more accurately. And it divides the resource load into three states -- Overload, Normal and Idle by the self-adaptive threshold. Then it migrates overload resources to balance load, and releases idle resources whose idle times exceed a threshold to save energy, which can effectively improve system utilization. Experimental results demonstrate SDWM has better adaptability than other similar methods when resources dynamically join or exit. This shows the positive effect of the dynamic self-adaptive threshold.

Keywords: cloud computing, energy, load evaluation
A New QoE-Driven Video Cache Allocation Scheme for Mobile Cloud Server

A New QoE-Driven Video Cache Allocation Scheme for Mobile Cloud Server

Authors: Xiaojiang Zhou, Mengyao Sun, Yumei Wang, Xiaofei Wu
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Abstract

With the advent of mobile cloud computing, video cache technologies at local cellular networks have attracted extensive attention. Nevertheless, existing video cache allocation schemes mostly made decisions only according to the video coding requirements, without considering users’ individual perception for the video service. In this paper, we propose a new video cache allocation scheme with the consideration of quality of experience (QoE) of users under limited storage space. We make use of the linear regression algorithm to map the relationship between the requested video rate, the replied video rate, the channel condition and the QoE value, which then helps to obtain the different video rates to be stored in the server. Meanwhile, we define the parameter to represent the popularity of a video clip. We optimize the cache space allocation for each video clip based on these parameters in the mobile cloud server of local cellular networks. The experiments demonstrate that the proposed scheme has a better performance in terms of the overall QoE of users with the constraint of the total cache size.

Keywords: quality of experience; mobile cloud computing; video cache allocation
Large Scale Cross-media Data Retrieval based on Hadoop

Large Scale Cross-media Data Retrieval based on Hadoop

Authors: Wenchen Cheng, Jiang Qian, Zhicheng Zhao, Fei Su
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Abstract

With the rapid development of the Internet and speedy increase of the data size, there are more and more data intensive applications which often involve hundreds of megabytes of data. It is important and necessary to obtain the retrieval results from cross-media data quickly and accurately. Large scale cross-media data retrieval based on Hadoop is proposed to speed up the retrieval in this paper. We divide cross-media feature extraction and cross-media retrieval into paralleled pipeline, and implement with the combination of the HDFS, HBase and MapReduce framework. To verify the performance of the proposed method, comparisons with stand-alone mode on different sizes of the image dataset are conducted, and the experimental results demonstrate the good performances of proposed method, which sharply decreases time-consuming, and meanwhile keeps the same query precision.

Keywords: cross-media; image retrieval; hadoop; mapreudce
Hybrid Scheduling for Quality of Service Guarantee of Multimedia Data Flows in Software Defined Networks

Hybrid Scheduling for Quality of Service Guarantee of Multimedia Data Flows in Software Defined Networks

Authors: Jun Huang, Liqian Xu, Mengxi Zeng, Huifang Yan, Qian Duan, Cong-cong Xing
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Abstract

Supporting diverse Quality of Service (QoS) performance for heterogeneous data flows generated by multimedia applications has been a challenging issue that is not fully addressed in the Internet. Software Defined Network, which decouples data forwarding and network control, offers a promising approach to QoS guarantee of multimedia flows in the future Internet. However, the currently available QoS mechanisms proposed for SDN have not fully considered the diversity in performance requirements of multimedia data flows. In order to tackle this challenge, we propose a hybrid scheduling scheme in this paper to combine priority queueing with Packet General Processor Sharing (PGPS) algorithm to provide QoS guarantee for multimedia applications in SDN. We apply network calculus to develop modeling and analysis techniques to evaluate the QoS performance of the proposed scheduling scheme. Both analytical and numerical results obtained in this paper show that the proposed scheme can provide QoS guarantee for meeting diverse requirements of multimedia applications.

Keywords: packet scheduling, qos, software defined network, network calculus, performance analysis
A Model Transformation Tool: PMIF+ to QNAP

A Model Transformation Tool: PMIF+ to QNAP

Authors: Catalina Lladó, Connie Smith, Pere Bonet
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Abstract

An extension to the Performance Model Interchange Format (PMIF+) to move models among tools has been recently introduced. The original PMIF was limited to models solvable with efficient, exact solution methods such as mean value analysis and product form solutions. The extensions allow models with features that require simulation or analytical approximation solutions, such as passive resources, workloads that fork into multiple concurrent workloads, etc. This paper presents a tool for the automated transformation from PMIF+ to Qnap, and explains some of the challenging transformations required by the new PMIF+ features.

Keywords: interchange format, performance models, model driven performance engineering, spe, tool interoperability
PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications

PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications

Authors: Varsha Apte, Nadeesh T. V.
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Abstract

Performance modeling is an important step in the lifecycle of a typical Web-based multi-tier application. However, while most practitioners are comfortable carrying out load tests on a Web application on a testbed, they find sophisticated performance modeling tools difficult to use because many inputs required by them are difficult to obtain. Chief among these is the service times of various types of requests at various resources in the multi-tier system (e.g. CPU execution time required at the Web server by a “Login” request). In this paper, we present PerfCenterLite, a tool focused on ease of use for practitioners of performance analysis. The tool (a) provides a spread-sheet template for describing the application architecture and (b) accepts standard performance metrics obtained from load testing of the application. PerfCenterLite then uses mathematical estimation techniques and transforms this input into a full-fledged performance model as required by a sophisticated performance modeling tool. Validation experiments show that performance metrics predicted using PerfCenterLite match well with measured values.

Keywords: performance modeling, load test results
Modeling user and topic interactions in social networks using Hawkes processes

Modeling user and topic interactions in social networks using Hawkes processes

Authors: Julio Cesar Louzada Pinto, Tijani Chahed
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Abstract

We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes. Our model exploits the effective broadcasting times of information by users, which guarantees a more realistic view of the information diffusion process. The proposed model takes into consideration not only interactions between users but also interactions between topics, which provides a deeper analysis of influences in social networks. We provide an estimation algorithm based on nonnegative matrix factorization techniques, which together with a dimensionality reduction argument is able to discover, in addition, the latent community structure of the social network. We also provide several numerical results of our method.

Keywords: social networks, hawkes processes, nonnegative matrix factorization

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