The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Big data processing is progressively becoming essential for everyone to extract the meaningful information from their large volume of data irrespective of types of users and their application areas. Big data processing is a broad term and includes several operations such as the storage, cleaning, organization, modelling, analysis and presentation of data at a scale and efficiency. For ordinary users,...
The HLA framework is widely used to formalize simulations and achieve reusability and interoperability of simulation components. In order to manage the underlying system of HLA-based simulations, Grid Computing and Cloud Computing are employed to tackle the details of operation, configuration, and maintenance of simulation platforms that simulation applications run on. However, to make a simulation-run-ready...
This work provides a way to merge Cloud Computing infrastructures with traditional or legacy network deployments, leveraging the best in both worlds and enabling a logically centralized control for it. A solution is proposed to extend existing Cloud Computing software stacks so they are able to manage networks outside the Cloud Computing infrastructure, by extending the internal, virtualized network...
The principle of Network Functions Virtualization (NFV) aims to transform network architectures by implementing Network Functions (NFs) in software that can run on commodity hardware. There are several challenges inherent to NFV, among which is the need for an orchestration and management framework. This paper presents the Cloud4NFV platform, which follows the major NFV standard guidelines. The platform...
Cloud Computing has been adopted as one of the growing technologies in the business and research community. However, due to significant client demands, there is a need to overflow some workloads to other data centers as no data center has unlimited resources. The workload sharing provides even more flexible and cheaper resources to complete the applications submitted to the data centers. However,...
Virtualization is fundamental to cloud computing. It allows abstraction centred on services and isolation of lower level functionalities and underlying hardware. Modeling, analyzing and verifying cloud systems necessarily involve virtualization and services. However, there exist few efforts to effectively formalizing virtualization in cloud computing. In this paper, based on services we present an...
Graph databases have become increasingly popular for a variety of uses ranging from modeling online code repositories to tracking software engineering dependencies. These areas use graph databases because many of their problems can be expressed in terms of graph traversals. Recent work has applied graph databases to virtualization management, noting that many IT questions can also be expressed as...
The drive toward smart cities alongside the increasing adoption of personal sensors is leading to big sensor data, which is so large and complex that traditional methods for utilizing it are inadequate. Although systems exist for storing and managing large-scale sensor data, the real value of such data are the insights it could enable. However, no current platforms enable sensor data to be taken from...
Cloud computing is the one which offers infrastructure to the client on a pay as you use model by leveraging on the Internet technology. As this model depicts the electricity billing it is often termed as utility computing. It offers various services to the client based on the need. The need of the resources can be scaled up or down on the basis of the requirement. The IT sectors started using cloud...
In this paper, we propose using adaptive allocation to find the most appropriate data center and physical machine for both users and service providers in a cloud computing environment. The proposed model adaptively finds the proper data center for the user based on expected allocation time and location. For the provider, the proposed model considers the workload of physical machines in a data center...
We propose the development of a new e-Science infrastructure that would take the best of both grid and cloud technologies, and it would allow different research groups that perform nanoelectronic simulations to share their local clusters and create a common infrastructure accessible through a unified point of access. Therefore, more computational power can be used to perform nanoelectronic simulations,...
Extensive computing power has been used to tackle issues such as climate changes, fusion energy, and other pressing scientific challenges. These computations produce a tremendous amount of data, however, many of the data analysis programs currently only run a single processor. In this work, we explore the possibility of using the emerging cloud computing platform to parallelize such sequential data...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.