7,959 research outputs found
Creating Tailored and Adaptive Network Services with the Open Orchestration C-RAN Framework
Next generation wireless communications networks will leverage
software-defined radio and networking technologies, combined with cloud and fog
computing. A pool of resources can then be dynamically allocated to create
personalized network services (NSs). The enabling technologies are abstraction,
virtualization and consolidation of resources, automatization of processes, and
programmatic provisioning and orchestration. ETSI's network functions
virtualization (NFV) management and orchestration (MANO) framework provides the
architecture and specifications of the management layers. We introduce OOCRAN,
an open-source software framework and testbed that extends existing NFV
management solutions by incorporating the radio communications layers. This
paper presents OOCRAN and illustrates how it monitors and manages the pool of
resources for creating tailored NSs. OOCRAN can automate NS reconfiguration,
but also facilitates user control. We demonstrate the dynamic deployment of
cellular NSs and discuss the challenges of dynamically creating and managing
tailored NSs on shared infrastructure.Comment: IEEE 5G World Forum 201
Clustering composite SaaS components in Cloud computing using a Grouping Genetic Algorithm
Recently, Software as a Service (SaaS) in Cloud computing, has become more and more significant among software users and providers. To offer a SaaS with flexible functions at a low cost, SaaS providers have focused on the decomposition of the SaaS functionalities, or known as composite SaaS. This approach has introduced new challenges in SaaS resource management in data centres. One of the challenges is managing the resources allocated to the composite SaaS. Due to the dynamic environment of a Cloud data centre, resources that have been initially allocated to SaaS components may be overloaded or wasted. As such, reconfiguration for the components’ placement is triggered to maintain the performance of the composite SaaS. However, existing approaches often ignore the communication or dependencies between SaaS components in their implementation. In a composite SaaS, it is important to include these elements, as they will directly affect the performance of the SaaS. This paper will propose a Grouping Genetic Algorithm (GGA) for multiple composite SaaS application component clustering in Cloud computing that will address this gap. To the best of our knowledge, this is the first attempt to handle multiple composite SaaS reconfiguration placement in a dynamic Cloud environment. The experimental results demonstrate the feasibility and the scalability of the GGA
Software-Defined Cloud Computing: Architectural Elements and Open Challenges
The variety of existing cloud services creates a challenge for service
providers to enforce reasonable Software Level Agreements (SLA) stating the
Quality of Service (QoS) and penalties in case QoS is not achieved. To avoid
such penalties at the same time that the infrastructure operates with minimum
energy and resource wastage, constant monitoring and adaptation of the
infrastructure is needed. We refer to Software-Defined Cloud Computing, or
simply Software-Defined Clouds (SDC), as an approach for automating the process
of optimal cloud configuration by extending virtualization concept to all
resources in a data center. An SDC enables easy reconfiguration and adaptation
of physical resources in a cloud infrastructure, to better accommodate the
demand on QoS through a software that can describe and manage various aspects
comprising the cloud environment. In this paper, we present an architecture for
SDCs on data centers with emphasis on mobile cloud applications. We present an
evaluation, showcasing the potential of SDC in two use cases-QoS-aware
bandwidth allocation and bandwidth-aware, energy-efficient VM placement-and
discuss the research challenges and opportunities in this emerging area.Comment: Keynote Paper, 3rd International Conference on Advances in Computing,
Communications and Informatics (ICACCI 2014), September 24-27, 2014, Delhi,
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