InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels. Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load. To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions. The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands. This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments. The proposed InterCloud environment supports scaling of applications across multiple vendor clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.Comment: 20 pages, 4 figures, 3 tables, conference pape

Issues in a Scalable Inter Cloud Environment with Unified Brokering Approach

Cloud Computing providers are currently serving customers throughout the world. Inter- Cloud Computing, where a number of providers come together, has already paved its way, It is meant to address the growing challenges of load balancing and optimal utilization of resources. At the same time, its objectives also include QoS and SLA accomplishment. A centralized Federation of clouds is a confederacy of cloud providers attached to and dependent upon a single unified broker entity. This unified broker acts as a linchpin for the entire system. This paper envisions and elaborates upon the idea of centralized Inter-cloud federation environment. We propose issues open to centralized Inter-Clouds at two levels namely unified broker and the cloud providers

A Research Perspective on Data Management Techniques for Federated Cloud Environment

Cloud computing has given a large scope of improvement in processing, storage and retrieval of data that is generated in huge amount from devices and users. Heterogenous devices and users generates the multidisciplinary data that needs to take care for easy and efficient storage and fast retrieval by maintaining quality and service level agreements. By just storing the data in cloud will not full fill the user requirements, the data management techniques has to be applied so that data adaptiveness and proactiveness characteristics are upheld. To manage the effectiveness of entire eco system a middleware must be there in between users and cloud service providers. Middleware has set of events and trigger based policies that will act on generated data to intermediate users and cloud service providers. For cloud service providers to deliver an efficient utilization of resources is one of the major issues and has scope of improvement in the federation of cloud service providers to fulfill user’s dynamic demands. Along with providing adaptiveness of data management in the middleware layer is challenging. In this paper, the policies of middleware for adaptive data management have been reviewed extensively. The main objectives of middleware are also discussed to accomplish high throughput of cloud service providers by means of federation and qualitative data management by means of adaptiveness and proactiveness. The cloud federation techniques have been studied thoroughly along with the pros and cons of it. Also, the strategies to do management of data has been exponentially explored

Marispace-X: Digitalizing the Ocean

Within the Marispace-X project, a digital maritime data space based on data sovereignty, security, interoperability, and modularity according to the Gaia-X concept should be created. The article provides an overview of the envisioned Marispace-X digital infrastructure, a decentralized maritime data ecosystem, followed by exemplary applications for hydrographic surveys and some of the use cases defined in the Marispace-X project. These exemplary applications are related to data management, sharing and processing services that can be performed on a cloud infrastructure. This digital infrastructure should simplify data handling of all the different data types and formats that exist in the maritime domain.Dentro del proyecto Marispace-X, se debería crear un espacio de datos digitales marítimos basado en soberanía, seguridad, interoperabilidad, y modularidad de los datos, según el concepto Gaia-X. Este artículo proporciona una descripción de los planes para la infraestructura digital Marispace-X, un ecosistema de datos marítimos descentralizados, seguido de ejemplos de aplicaciones para evantamientos hidrográficos y algunos ejemplos de uso definidos en el proyecto Marispace-X. Estos ejemplos de aplicaciones están relacionados con los servicios de gestión, distribución y procesado de datos, que se pueden llevar a cabo en una infraestructura en la nube. Esta infraestructura digital debería simplificar la gestión de datos de todos los diferentes tipos y formatos que existen en el dominio marítimo.Dans le cadre du projet Marispace-X, un espace de données maritimes numériques basé sur la souveraineté, la sécurité, l’interopérabilité et la modularité des données selon le concept Gaia-X devrait être créé. L’article donne un aperçu de l’infrastruc-ture numérique Marispace-X envisagée, un écosystème de données maritimes dé-centralisé, suivi d’exemples d’applications pour les levés hydrographiques et de cer-tains des cas d’usage définis dans le projet Marispace-X. Ces exemples d’applica-tions sont liés à des services de gestion, de partage et de traitement de données qui peuvent être effectués sur une infrastructure cloud. Cette infrastructure numérique devrait simplifier la gestion de l’ensemble des différents types et formats de don-nées existant dans le domaine maritime

A template description framework for services as a utility for cloud brokerage

Integration and mediation are two core functions that a cloud service broker needs to perform. The description of services involved plays a central role in this endeavour to enable services to be considered as commoditised utilities. We propose a conceptual framework for a cloud service broker based on two parts: a reference architecture for cloud brokers and a service description template that describes the mediated and integrated cloud services. Structural aspects of that template will be identified, formalised in an ontology and mapped onto a set of sublanguages that can be aligned to the cloud development and deployment process

Big Data and Large-scale Data Analytics: Efficiency of Sustainable Scalability and Security of Centralized Clouds and Edge Deployment Architectures

One of the significant shifts of the next-generation computing technologies will certainly be in the development of Big Data (BD) deployment architectures. Apache Hadoop, the BD landmark, evolved as a widely deployed BD operating system. Its new features include federation structure and many associated frameworks, which provide Hadoop 3.x with the maturity to serve different markets. This dissertation addresses two leading issues involved in exploiting BD and large-scale data analytics realm using the Hadoop platform. Namely, (i)Scalability that directly affects the system performance and overall throughput using portable Docker containers. (ii) Security that spread the adoption of data protection practices among practitioners using access controls. An Enhanced Mapreduce Environment (EME), OPportunistic and Elastic Resource Allocation (OPERA) scheduler, BD Federation Access Broker (BDFAB), and a Secure Intelligent Transportation System (SITS) of multi-tiers architecture for data streaming to the cloud computing are the main contribution of this thesis study