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EAI Endorsed Transactions on Cloud Systems

Issue 7, 2016
Editor(s)-in-Chief: Eliezer Dekel and Maria Fazio

  • QoE Aware Resource Allocation for Video Communications over LTE Based Mobile Networks

    Appears in:
    cs 16(7): e1

    Authors:
    Ryan Perera, Anil Fernando, Thanuja Mallikarachchi, Hemantha Kodikara Arachchi, Mahsa Pourazad

    Abstract:
    As the limits of video compression and usable wireless radio resources are exhausted, providing increased protection to critical data is regarded as a way forward to increase the effective capacity for delivering video data. This paper explores the provisioning of selective protection in the physic…As the limits of video compression and usable wireless radio resources are exhausted, providing increased protection to critical data is regarded as a way forward to increase the effective capacity for delivering video data. This paper explores the provisioning of selective protection in the physical layer to critical video data and evaluates its effectiveness when transmitted through a wireless multipath fading channel. In this paper, the transmission of HEVC encoded video through an LTE-A wireless channel is considered. HEVC encoded video data is ranked based on how often each area of the picture is referenced by subsequent frames within a GOP in the sequence. The critical video data is allotted to the most robust OFDM resource blocks, which are the radio resources in the time-frequency domain of the LTE-A physical layer, to provide superior protection. The OFDM resource blocks are ranked based on a prediction for their robustness against noise. Simulation results show that the proposed content aware resource allocation scheme helps to improve the objective video quality up to 37dB at lower channel SNR levels when compared against the reference system, which treats video data uniformly. Alternatively, with the proposed technique the transmitted signal power can be lowered by 30% without sacrificing video quality at the receiver.
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  • COMER: ClOud-based MEdicine Recommendation

    Appears in:
    cs 16(7): e2

    Authors:
    Yin Zhang, Long Wang, Long Hu, Xiaofei Wang, Min Chen

    Abstract:
    With the development of e-commerce, a growing number of people prefer to purchase medicine online for the sake of convenience. However, it is a serious issue to purchase medicine blindly without necessary medication guidance. In this paper, we propose a novel cloud-based medicine recommendation, …With the development of e-commerce, a growing number of people prefer to purchase medicine online for the sake of convenience.
    However, it is a serious issue to purchase medicine blindly without necessary medication guidance.
    In this paper, we propose a novel cloud-based medicine recommendation, which can recommend users with top-N related medicines according to symptoms.
    Firstly, we cluster the drugs into several groups according to the functional description information, and design a basic personalized medicine recommendation based on user collaborative filtering.
    Then, considering the shortcomings of collaborative filtering algorithm, such as computing expensive, cold start, and data sparsity, we propose a cloud-based approach for enriching end-user Quality of Experience (QoE) of medicine recommendation, by modeling and representing the relationship of the user, symptom and medicine via tensor decomposition.
    Finally, the proposed approach is evaluated with experimental study based on a real dataset crawled from Internet.
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  • Adapting Data Popularity in Mobility-Based Proactive Caching Decisions for Heterogeneous Wireless Networks

    Appears in:
    cs 16(7): e3

    Authors:
    Xenofon Vasilakos, Vasilios Siris

    Abstract:
    The current paper presents extensions to a distributed user mobility-based proactive caching scheme that supports individual users’ requests, and a brief discussion of the benefits from exploiting user-centric features. The approach applies to Heterogeneous Wireless Networks (HWNs) for offloading…The current paper presents extensions to a distributed
    user mobility-based proactive caching scheme that
    supports individual users’ requests, and a brief discussion of the benefits from exploiting user-centric features. The approach applies to Heterogeneous Wireless Networks (HWNs) for offloading traffic volumes to small cells and for reducing delay for specific categories of mobile users and mobile application scenarios through Efficient Proactive Caching (EPC) decisions at small cells. The approach is designed to support mobile users’ requests for content not treated by popularity-based caching. Here, we discuss how proactive caching decisions can jointly utilize individual user mobility and data popularity to enhance the benefits of cache decisions for individuals to a broader set of mobiles requesting the same data.
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  • Flexible Building Blocks for Software Defined Network Function Virtualization

    Appears in:
    cs 16(7): e4

    Authors:
    Aryan TaheriMonfared, Chunming Rong

    Abstract:
    Current virtual networks offered by IaaS cloud providers are not under complete control of their tenants. The virtual network configuration is carried out by the service provider, and the functionality is limited by the provider's offerings. This paper presents a new approach for building and m…Current virtual networks offered by IaaS cloud providers are not under complete control of their tenants. The virtual network configuration is carried out by the service provider, and the functionality is limited by the provider's offerings.

    This paper presents a new approach for building and maintaining tenant-programmable virtual networks. This type of virtual networks are the basic building blocks for network function virtualization, and significantly facilitates the implementation of network functions in software. Our approach gives tenants complete control over provisioned virtual network components, and simplifies the integration with on-premises resources. The implementation confirmed the practicality and scalability of the solution, at the cost of a small overhead.
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  • I-CAN: Information-Centric Future Mobile and Wireless Access Networks

    Appears in:
    cs 16(7): e5

    Authors:
    George Polyzos, Vasilios Siris, George Xylomenos, Giannis Marias, Stavros Toumpis

    Abstract:
    This short paper describes the objectives and initial results of project I-CAN: Information-Centric Future Mobile and Wireless Access Networks. I-CAN seeks to radically advance the integration of cellular and wireless access technologies by developing and evaluating architectures and procedures for…This short paper describes the objectives and initial results of project I-CAN: Information-Centric Future Mobile and Wireless Access Networks. I-CAN seeks to radically advance the integration of cellular and wireless access technologies by developing and evaluating architectures and procedures for future access networks based on Information-Centric Networking (ICN).
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Scope

he EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on fo…

he EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on four technology pillars: mobile computing, cloud services, big data and analytics, and social networking. Researchers and practitioners involved in cloud systems can publish information on theory, engineering principles, enabling technologies, and practical experiences related to cloud systems. ToCS will offer an end-to-end view on the challenges and technologies in cloud systems, foster research that addresses the interaction between and across the different technology pillars, and ultimately help shape the future of cloud systems as they transform business and society.

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Topics

Topics include, but are not limited to, the following:

  • Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
  • Cloud architecture and foundation services
  • Big data management and analyt…

Topics include, but are not limited to, the following:

  • Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
  • Cloud architecture and foundation services
  • Big data management and analytics
  • Internet of things (IoT) and Mobile Cloud
  • Virtualization technology
  • The virtual enterprise, software defined networks (SDN), Network Function virtualization (NFV), software defined Storage, Data virtualization, etc.
  • Cloud security, privacy, and trust
  • Workload deployment and migration
  • Resource management provisioning and load balancing
  • Energy management in cloud centers
  • Cloud programming models and tools
  • Private, Public, Hybrid and Federated clouds
  • API management, collaboration and integration
  • Content distribution and management
  • Service lifecycle management
  • Service management automation
  • Cloud computing programming models
  • Multi-tenancy
  • Discovery of services and data
  • Monitoring and Metering
  • Systems of records and systems of engagement
  • Business models, pricing, and software licensing
  • Modeling and Testing very large infrastructures
  • Standardization, regulation and compliance management
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Indexing

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Editorial Board

  • Vijayakumar Varadarajan (The University of New South Wales, Australia)
  • Bharat S. Rawal (Pen State University, USA)
  • Ahmad Karim (Bahauddin Zakariya University, Pakistan)
  • Antonio Celesti (University of Messina, Italy)
  • Dana Petcu (West University of Timisoara, Timişoara, Romani…
  • Vijayakumar Varadarajan (The University of New South Wales, Australia)
  • Bharat S. Rawal (Pen State University, USA)
  • Ahmad Karim (Bahauddin Zakariya University, Pakistan)
  • Antonio Celesti (University of Messina, Italy)
  • Dana Petcu (West University of Timisoara, Timişoara, Romania)
  • Domenico Talia (Università della Calabria, Italy)
  • Florin Pop (Politehnica University of Bucharest, Romania)
  • Gokhale Anu (Illinois State University, USA)
  • Jean-Philippe Martin-Flatin (Switzerland)
  • K. R. Rao (University of Texas, USA)
  • Lizhe Wang (Chinese Academy of Sciences (CAS), China)
  • Luciano Baresi (Politechnico di Milano, Italy)
  • Manish Kumar (IIT-Allahabad, India)
  • Manuele Kirsch Pinheiro (Université Paris 1 Panthéon Sorbonne, France)
  • Marcel Kunze (Karlsruhe Institute of Technology (KIT), Germany)
  • Maria Dolores Cano Baños (Universidad Politécnica, Spain)
  • Marios D. Dikaiakos (University of Cyprus, Cyprus)
  • Marios Dikaiakos (University of Cyprus)
  • Massimo Villari (University of Messina, Messina, Italy)
  • Mirco Marchetti (University of Modena and Reggio Emilia, Modena, Italy)
  • Mohamamad Shojafar (University Sapienza of Rome, Italy)
  • Nik Bessis Edge (Hill University)
  • Patrick Siarry (University of Paris)
  • Siguang Chen (Nanjing University of Posts and Telecommunications, China)
  • Raouf Boutaba (University of Waterloo, Canada)
  • Roman Vitenberg (University of Oslo, Norway)
  • Schahram Dustdar (Vienna University of Technology, Austria)
  • Sri Devi Ravana (University of Malaya, Malaysia)
  • Syed Rizvi (The Pennsylvania State University, USA)
  • Vasilios Andrikopoulos (University of Stuttgart, Germany)
  • Verdiana Grace Masanja (NM-AIST, Tanzania)
  • V. Subramaniyaswamy (SASTRA Deemed University, India)
  • Xiao-Zhi Gao (University of Eastern Finland, Finland)
  • Marco Lucio Scarpa (University of Messina)
  • Yuvaraja Devajaran (Palo Alto Networks Inc, CA, USA)
  • Jitendra Kumar Verma (Amity University, India)
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Journal Blurb

EAI Endorsed Transactions on Cloud Systems is an open access, peer-reviewed scholarly journal focused on cloud systems and four technology pillars: mobile computing, cloud services, big data analytics, and social networking. The journal publishes research articles, review articles, commentaries, ed…

EAI Endorsed Transactions on Cloud Systems is an open access, peer-reviewed scholarly journal focused on cloud systems and four technology pillars: mobile computing, cloud services, big data analytics, and social networking. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

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Publisher
IEEE
ISSN
2410-6895
Volume
2
Published
2016-12-29