scholarly journals ARMONIA: A Unified Access and Metro Network Architecture

2020 ◽  
Vol 10 (23) ◽  
pp. 8318
Author(s):  
Aristotelis Kretsis ◽  
Ippokratis Sartzetakis ◽  
Polyzois Soumplis ◽  
Katerina Mitropoulou ◽  
Panagiotis Kokkinos ◽  
...  
Keyword(s):  
Network Architecture ◽  
Big Data Analytics ◽  
Resource Provisioning ◽  
Capital Expenditures ◽  
Dynamic Resource Provisioning ◽  
Efficient Control ◽  
Network Functions ◽  
Dynamic Resource ◽  
Monitoring Information ◽  
Metro Network

We present a self-configured and unified access and metro network architecture, named ARMONIA. The ARMONIA network monitors its status, and dynamically (re-)optimizes its configuration. ARMONIA leverages software defined networking (SDN) and network functions virtualization (NFV) technologies. These technologies enable the access and metro convergence and the joint and efficient control of the optical and the IP equipment used in these different network segments. Network monitoring information is collected and analyzed utilizing machine learning and big data analytics methods. Dynamic algorithms then decide how to adapt and dynamically optimize the unified network. The ARMONIA network enables unprecedented resource efficiency and provides advanced virtualization services, reducing the capital expenditures (CAPEX) and operating expenses (OPEX) and lowering the barriers for the introduction of new services. We demonstrate the benefits of the ARMONIA network in the context of dynamic resource provisioning of network slices. We observe significant spectrum and equipment savings when compared to static overprovisioning.

scholarly journals CCCORE: Cloud Container for Collaborative Research

2018 ◽  
Vol 8 (3) ◽  
pp. 1659
Author(s):  
Salini Suresh ◽  
L. Manjunatha Rao
Keyword(s):  
Resource Allocation ◽  
Collaborative Research ◽  
High Performance ◽  
Research Collaboration ◽  
Resource Provisioning ◽  
Dynamic Allocation ◽  
Research Environment ◽  
Dynamic Resource Provisioning ◽  
Optimal Resource ◽  
Dynamic Resource

Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.

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