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  • 1.
    Roozbeh, Amir
    Ericsson Research.
    Distributed Cloud and De-centralized Control Plane: A Proposal for Scalable Control Plane for 5G2015In: Proceedings - 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing, UCC 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 348-353, article id 7431430Conference paper (Refereed)
    Abstract [en]

    5G is the next generation of mobile network. There are many requirements on 5G, such as high capacity, low latency, flexibility, and support for any-to-any communication. Cloud technology, in the form of a distributed cloud (also known as a network embedded cloud), is an enabler technology for 5G by allowing flexible networks that meet different user application requirements. On the other hand, Machine Type Communication (MTC) is a primary application for 5G, but it can add a high volume of control signaling. To manage the expected high volume of control signaling introduced by MTC, we identified the main control events that generate signaling messages in the network. Then, we proposed a decentralized core network architecture optimized for the identified control events. The proposed control plane functions are independent in the sense that each can be executed separately. The control functions can utilize the distributed cloud to manage the enormous amount of control signaling by handling this signaling locally. Additionally, we present an analysis of the control signaling performance for each proposed control function. We conclude that it is beneficial to move session management to data centers collocated with the BS on 5G network when there is high user density.

  • 2.
    Roozbeh, Amir
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
    Resource monitoring in a Network Embedded Cloud: An extension to OSPF-TE2013Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The notions of "network embedded cloud", also known as a "network enabled cloud" or a "carrier cloud", is an emerging technology trend aiming to integrate network services while exploiting the on-demand nature of the cloud paradigm. A network embedded cloud is a distributed cloud environment where data centers are distributed at the edge of the operator's network. Distributing data centers or computing resources across the network introduces topological and geographical locality dependency.

    In the case of a network enabled cloud, in addition to the information regarding available processing, memory, and storage capacity, resource management requires information regarding the network's topology and available bandwidth on the links connecting the different nodes of the distributed cloud. This thesis project designed, implemented, and evaluated the use of open shortest path first with traffic engineering (OSPF-TE) for propagating the resource status in a network enabled cloud. The information carried over OSPF-TE are used for network-aware scheduling of virtual machines. In particular, OSPF-TE was extended to convey virtualization and processing related information to all the nodes in the network enabled cloud.

    Modeling, emulation, and analysis shows the proposed solution can provide the required data to a cloud management system by sending a data center's resources information in the form of new opaque link-state advertisement with a minimum interval of 5 seconds. In this case, each embedded data centers injects a maximum 38.4 bytes per second of additional traffic in to the network.<p>

  • 3.
    Roozbeh, Amir
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. Ericsson Research.
    MONTEIRO, S.J.
    Ericsson Research.
    TURULL, D.
    Ericsson Research.
    A method of live migration2016Patent (Other (popular science, discussion, etc.))
  • 4.
    Roozbeh, Amir
    et al.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. Ericsson Research.
    Sefidcon, Azimeh
    Methods and managers for multi-layer cloud management system2014Patent (Other (popular science, discussion, etc.))
    Abstract [en]

    A method for managing a multi-layer cloud seeks a resource source able to provide customer-requested cloud resources within a first group of resource sources at one layer of the multi-layer cloud. A resource source is a data center or a group of resource sources. If the resource source able to provide customer-requested cloud resources is not found in the first group, the request is forwarded to a second group of resource sources at a higher level in the multi-layer cloud, the first group being one of the second group's resource sources.

  • 5.
    Roozbeh, Amir
    et al.
    Ericsson Research, TPA - Packet technology, Stockholm, Sweden.
    Sefidcon, Azimeh
    Ericsson Research, TPA - Packet technology, Stockholm, Sweden.
    Maguire Jr., Gerald Q.
    KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
    Resource monitoring in a Network Embedded Cloud: An extension to OSPF-TE2013In: Proceeding UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013, p. 139-146Conference paper (Refereed)
    Abstract [en]

    A "network embedded cloud", also known as a "carrier cloud", is a distributed cloud architecture where the computing resources are embedded in, and distributed across the carriers network. This idea is based on a transformation of carrier-grade networks toward a platform for cloud services and the emergence of cloud computing in a telecommunication environment. In this model the networks resources are simply another set of cloud resources. This changes the resource management problem as compared to resource management inside a data center. In order to meet applications requirements regarding available bandwidth and computing resources, one needs to consider link conditions and traffic engineering when allocating resources in a network embedded cloud. This paper presents a resource monitoring solution for a network embedded cloud by proposing an extension to the Open Shortest Path First-Traffic Engineering (OSPF-TE) protocols. Modeling, emulation, and analysis show the proposed solution can provide the required data to a cloud management system by sending information about virtual resources in the form of a new opaque link-state advertisement, named cloud LSA. Each embedded data center injects less than 40 bytes per second of additional traffic into the network when sending cloud LSAs at most every 5 seconds.

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