The problem of scheduling multiple tasks for multiple users on a given number of resources is considered NP-Complete problem, and therefore, several heuristic based research methods were proposed, yet, there are still many improvements can be done, since the problem has several optimization parameters. Resource provisioning becomes more and more challenging problem in cloud computing environment since cloudbased services become more numerous and dynamic. By evaluating these recursive architectural designs for network operations, enterprises ready for Spine and leaf model could further develop their network resource management schemes for optimal performance. From the results, it was concluded that using virtualization in a cloud DataCenter servers will result in enhanced server performance offering lower average wait time even with a higher request rate and longer duration of resource use (service availability). DCCN density on resource utilization = 40% (when logically isolated) and 60% (when not logically isolated). Average resource availability response for DCCN = 38.46%, DCell = 33.33%, and BCube = 28.21%. From the validation analysis of the DCCN, the following results were obtained: average throughput (bytes/Sec) for DCCN = 40.00%, DCell = 33.33% and BCube = 26.67%. The QoS metrics considered in the analysis are: the service delay time, resource availability, throughput and utilization. The validation of the DCCN performance was carried out using trace files from Riverbed Modeller 17.5 in order to ascertain the influence of virtualization on server resource pool. Virtualization services such as resource allocation and task scheduling were employed in heterogeneous server clusters. In this paper, the architectural decomposition of a proposed DCCN was carried out while exploring its functionalities for grid performance. Such failure has been identified in the University of Nigeria datacenter network situated in the south eastern part of Nigeria. This is highly undesirable in Distributed Cloud Computing Networks (DCCNs) running mission critical services. The implementation of Logepal was part of a global project to move and overhaul the communication and customer relationship infrastructure led by the integrator NXO.Network failure in cloud datacenter could result from inefficient resource allocation scheduling and logical segmentation of physical machines (network constraints). At the dawn of a new version, we will have access to brand new functionalities, including a weather map, which is very useful for reacting in the event of an impacting climatic episode,” concludes Annie Dupas. It’s simple and effective: the indicators are clear and aim to reinforce operational efficiency. The business teams validated the final result, which corresponds perfectly to the needs on the platforms. “ As part of the project, we chose to involve the teams and organized working groups to challenge the indicators. This is a kind of “mirror effect” in connection with the operational staff to have a live view of the activity. The Executive Committee also has a screen offering a consolidated view of real-time and historical indicators. A space dedicated to institutional information in PPT format completes the final rendering. In addition to the indicators, a scrolling “news feed” banner – very popular and in the hands of the manager – displays operational information. The projects are customized and the colors chosen to gain in legibility and visibility, even at night. The following telephone indicators are displayed: number of calls on hold, maximum waiting time, reachability rate, etc. Logepal is a very valuable daily tool that accompanies the teams 24 hours a day” says Annie Dupas, in charge of consulting and organization within the Assistance Department. The involvement of employees in the activity, the autonomy in the management of breaks for example are facilitated by the solution. “Our assistance activity requires real-time hotline management to be more proactive and to react to certain emergency situations or in the event of a peak in activity.
In total, more than 1,000 employees, specialized by activity, work daily on the assistance platforms.Įquipped with the Logepal solution for several years, Fidelia has personalized collective displays positioned on the 3 sites in the heart of the assistance platforms. The 3 operational sites based in Tours, Nantes and St Cloud provide medical assistance (medical repatriation), vehicle assistance (breakdown service, towing, etc.) and home assistance (water damage, etc.). Fidelia Assistance, the assistance company of the Covéa group (MAAF, MMA and GMF), operates 24/7 in France and abroad to help its policyholders and customers.
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