The Experts below are selected from a list of 12759 Experts worldwide ranked by ideXlab platform

Soumaya Cherkaoui - One of the best experts on this subject based on the ideXlab platform.

  • RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops GC Wkshps 2014, 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

  • GLOBECOM Workshops - RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops (GC Wkshps), 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

Mohammad Ali Salahuddin - One of the best experts on this subject based on the ideXlab platform.

  • RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops GC Wkshps 2014, 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

  • GLOBECOM Workshops - RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops (GC Wkshps), 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

Mohsen Guizani - One of the best experts on this subject based on the ideXlab platform.

  • RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops GC Wkshps 2014, 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

  • INFOCOM Workshops - Energy-efficient Cloud Resource Management
    2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014
    Co-Authors: Mehiar Dabbagh, Mohsen Guizani, Bechir Hamdaoui, Ammar Rayes
    Abstract:

    We propose a Resource Management framework that reduces energy consumption in Cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory Resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on real Google traces collected over a 29-day period from a Google cluster containing over 12,500 physical machines. Using this Google data, we show that our proposed framework makes substantial energy savings.Scopu

  • GLOBECOM Workshops - RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops (GC Wkshps), 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

Ala Al-fuqaha - One of the best experts on this subject based on the ideXlab platform.

  • RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops GC Wkshps 2014, 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

  • GLOBECOM Workshops - RSU Cloud and its Resource Management in support of enhanced vehicular applications
    2014 IEEE Globecom Workshops (GC Wkshps), 2014
    Co-Authors: Mohammad Ali Salahuddin, Ala Al-fuqaha, Mohsen Guizani, Soumaya Cherkaoui
    Abstract:

    We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.

Dan C. Marinescu - One of the best experts on this subject based on the ideXlab platform.

  • Concurrency in the Cloud
    Cloud Computing, 2018
    Co-Authors: Dan C. Marinescu
    Abstract:

    The chapter reviews theoretical foundations of important algorithms at the heart of system and application software. These concepts help us better understand Cloud Resource Management policies and the mechanisms implementing these policies. The chapter starts with an overview of concurrent execution of communicating processes followed by a presentation of BSP, a bridging hardware-software model, and of its version for a multicore computational model. Petri Nets, intuitive models able to describe concurrency and conflict and able to model both data flow and control flow computational models are also discussed.

  • An approach for scaling Cloud Resource Management
    Cluster Computing, 2017
    Co-Authors: Dan C. Marinescu, Ashkan Paya, John P. Morrison, Stephen Olariu
    Abstract:

    Given its current development trajectory, the complexity of Cloud computing ecosystems are evolving to where traditional Resource Management strategies will struggle to remain fit for purpose. These strategies have to cope with ever-increasing numbers of heterogeneous Resources, a proliferation of new services, and a growing user-base with diverse and specialized requirements. This growth not only significantly increases the number of parameters needed to make good decisions, it increases the time needed to take these decisions. Consequently, traditional Resource Management systems are increasingly prone to poor decisions making. Devolving Resources Management decisions to the local environment of that Resource can dramatically increase the speed of decisions making; moreover, the cost of gathering global information can thus be eliminated; saving communication costs. Experimental data, provided in this paper, illustrate that extant Cloud deployments can be used as effective vehicles for devolved decision making. This finding strengthens the case for the proposed paradigm shift, since it does not require a change to the architecture of existing Cloud systems. This shift would result in systems in which Resources decide for themselves how best they can be used. This paper takes this idea to its logical conclusion and proposes a system for supporting self-managing Resources in Cloud environments. It introduces the concept of coalitions, consisting of collaborating Resources, formed for the purpose of service delivery. It suggests the utility of restricting the interactions between the end-user and the Cloud service provider to a well-defined services interface. It shows how Clouds can be considered functionally, as engines for delivering an appropriate set of Resources in response to service requests. And finally, since modern applications are increasingly constructed from sophisticated workflows of complex components, it shows how combinatorial auctions can be used to effectively deliver packages of Resources to support those workflows.

  • Chapter 4 – Computer Clouds
    Complex Systems and Clouds, 2017
    Co-Authors: Dan C. Marinescu
    Abstract:

    Computer Clouds have altered our thinking about computing and in this chapter, we first provide a down-to-earth view of the new paradigm and present the Cloud delivery models. Next we discuss the hierarchical organization of the Cloud infrastructure, consisting of multiple warehouse-scale computers. Cloud elasticity, the effects of over-provisioning on costs and energy consumption, and existing Cloud Resource Management (CRM) policies and mechanisms for implementing these policies are analyzed. Alternative CRMs based on market mechanisms, such as auctions and server coalitions are then introduced. Combinatorial auctions allow access to packages of Resources for applications with a complex workflow.

  • Distributed Hierarchical Control versus an Economic Model for Cloud Resource Management
    arXiv: Distributed Parallel and Cluster Computing, 2015
    Co-Authors: Dan C. Marinescu, Ashkan Paya, John P. Morrison, Philip D. Healy
    Abstract:

    We investigate a hierarchically organized Cloud infrastructure and compare distributed hierarchical control based on Resource monitoring with market mechanisms for Resource Management. The latter do not require a model of the system, incur a low overhead, are robust, and satisfy several other desiderates of autonomic computing. We introduce several performance measures and report on simulation studies which show that a straightforward bidding scheme supports an eective admission control mechanism, while reducing the communication complexity by several orders of magnitude and also increasing the acceptance rate compared to hierarchical control and monitoring mechanisms. Resource Management based on market-based mechanisms can be seen as an intermediate step towards Cloud self-organization, an ideal alternative to current mechanisms for Cloud Resource Management.

  • Clustering Algorithms for Scale-free Networks and Applications to Cloud Resource Management
    arXiv: Distributed Parallel and Cluster Computing, 2013
    Co-Authors: Ashkan Paya, Dan C. Marinescu
    Abstract:

    In this paper we introduce algorithms for the construction of scale-free networks and for clustering around the nerve centers, nodes with a high connectivity in a scale-free networks. We argue that such overlay networks could support self-organization in a complex system like a Cloud computing infrastructure and allow the implementation of optimal Resource Management policies.