Cloud computing

Abstract: In one embodiment the present invention includes a multi-cloud management module having a plurality of cloud adapters. The multi-cloud management module provides a unified administrative interface for provisioning cloud-based resources on any one of several clouds for which a cloud adapter is configured for use with the multi-cloud management module. Each cloud adapter converts non-cloud-specific commands to cloud-specific provisioning commands for the cloud to which the cloud adapter is associated.

Abstract: We present contemporary developments in the field of surfactants and micellar systems together with their applications in analysis, with the aim of highlighting some of the most important aspects of this area of research. We pay particular attention to speciation through cloud-point extraction (CPE), as well as to the differentiation of metallic species, oxidation states and complexes prior to their determination. We also present a theoretical background and a guide for experimentally optimizing CPE. We conclude by discussing some problems arising from the use of surfactant systems, while proposing future trends and potential new areas for their application.

Abstract: Rapid growth of the demand for computational power has led to the creation of large-scale data centers. They consume enormous amounts of electrical power resulting in high operational costs and carbon dioxide emissions. Moreover, modern Cloud computing environments have to provide high Quality of Service (QoS) for their customers resulting in the necessity to deal with power-performance trade-off. We propose an efficient resource management policy for virtualized Cloud data centers. The objective is to continuously consolidate VMs leveraging live migration and switch off idle nodes to minimize power consumption, while providing required Quality of Service. We present evaluation results showing that dynamic reallocation of VMs brings substantial energy savings, thus justifying further development of the proposed policy.

Abstract: The Internet of Everything (IoE) solutions gradually bring every object online, and processing data in a centralized cloud does not scale to requirements of such an environment. This is because there are applications such as health monitoring and emergency response that require low latency, so delay caused by transferring data to the cloud and then back to the application can seriously impact the performance. To this end, Fog computing has emerged, where cloud computing is extended to the edge of the network to decrease the latency and network congestion. Fog computing is a paradigm for managing a highly distributed and possibly virtualized environment that provides compute and network services between sensors and cloud data centers. This chapter provides a background and motivations regarding the emergence of Fog computing, and defines its key characteristics. In addition, a reference architecture for Fog computing is presented, and recent related development and applications are discussed.