680 research outputs found

    A Literature Survey on Resource Management Techniques, Issues and Challenges in Cloud Computing

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    Cloud computing is a large scale distributed computing which provides on demand services for clients. Cloud Clients use web browsers, mobile apps, thin clients, or terminal emulators to request and control their cloud resources at any time and anywhere through the network. As many companies are shifting their data to cloud and as many people are being aware of the advantages of storing data to cloud, there is increasing number of cloud computing infrastructure and large amount of data which lead to the complexity management for cloud providers. We surveyed the state-of-the-art resource management techniques for IaaS (infrastructure as a service) in cloud computing. Then we put forward different major issues in the deployment of the cloud infrastructure in order to avoid poor service delivery in cloud computing

    MOLNs: A cloud platform for interactive, reproducible and scalable spatial stochastic computational experiments in systems biology using PyURDME

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    Computational experiments using spatial stochastic simulations have led to important new biological insights, but they require specialized tools, a complex software stack, as well as large and scalable compute and data analysis resources due to the large computational cost associated with Monte Carlo computational workflows. The complexity of setting up and managing a large-scale distributed computation environment to support productive and reproducible modeling can be prohibitive for practitioners in systems biology. This results in a barrier to the adoption of spatial stochastic simulation tools, effectively limiting the type of biological questions addressed by quantitative modeling. In this paper, we present PyURDME, a new, user-friendly spatial modeling and simulation package, and MOLNs, a cloud computing appliance for distributed simulation of stochastic reaction-diffusion models. MOLNs is based on IPython and provides an interactive programming platform for development of sharable and reproducible distributed parallel computational experiments

    A Dynamic Access Control Model Using Authorising Workfow and Task Role-based Access Control

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    Access control is fundamental and prerequisite to govern and safeguard information assets within an organisation. Organisations generally use Web enabled remote access coupled with applications access distributed across various networks. These networks face various challenges including increase operational burden and monitoring issues due to the dynamic and complex nature of security policies for access control. The increasingly dynamic nature of collaborations means that in one context a user should have access to sensitive information, whilst not being allowed access in other contexts. The current access control models are static and lack Dynamic Segregation of Duties (SoD), Task instance level of Segregation, and decision making in real time. This thesis addresses these limitations describes tools to support access management in borderless network environments with dynamic SoD capability and real time access control decision making and policy enforcement. This thesis makes three contributions: i) Defining an Authorising Workflow Task Role Based Access Control (AW-TRBAC) using existing task and workflow concepts. This new workflow integrates dynamic SoD, whilst considering task instance restriction to ensure overall access governance and accountability. It enhances existing access control models such as Role Based Access Control (RBAC) by dynamically granting users access rights and providing access governance. ii) Extension of the OASIS standard of XACML policy language to support dynamic access control requirements and enforce access control rules for real time decision making. This mitigates risks relating to access control, such as escalation of privilege in broken access control, and insucient logging and monitoring. iii) The AW-TRBAC model is implemented by extending the open source XACML (Balana) policy engine to demonstrate its applicability to a real industrial use case from a financial institution. The results show that AW-TRBAC is scalable, can process relatively large numbers of complex requests, and meets the requirements of real time access control decision making, governance and mitigating broken access control risk

    On-demand provisioning of educational cloud-based services

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    [ES] El objetivo de este proyecto es facilitar la creación de nuevos entornos de capacitación en las aulas de las instituciones educativas, lo que permite a los docentes e investigadores aprovechar los medios tecnológicos al facilitar rápidamente el acceso y la organización de la información. Por esta razón, se presenta la implementación de un orquestador de servicios en la nube basado en el enfoque de la arquitectura dirigida por modelos (MDA), proporcionando así un acceso rápido a recursos y servicios basados en lecciones educativas interactivas. Los resultados del proyecto se utilizarán en la Nube Educativa de Małopolska (MCHE), el cual es un entorno educativo que conecta aproximadamente 150 escuelas con 10 universidades.[EN] The purpose of this project is to ease the creation of new training environments in the classrooms of educational institutions, allowing teachers and researchers to take advantage of technological means by promptly facilitating access and organization of information. For this reason, the implementation of an orchestrator of cloud services based on the Model Driven Architecture (MDA) approach is presented, thus providing quick access to resources and services which are based on interactive educational lessons. The results of the project will be used in the Małopolska Educational Cloud (MCHE), which is an educational environment connecting approximately 150 schools with 10 universities.Llopis Gandía, R. (2020). Aprovisionamiento bajo demanda de servicios educativos basados en la nube. http://hdl.handle.net/10251/149614TFG

    Learnings from a Cloud Migration Project at a South African Retailer

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    All industries are aware of the potential benefits of cloud computing, however, the migration to cloud has not been widely adopted by South African retailers. The purpose of this paper is to explore the motivations behind organisations deciding to migrate to cloud and the factors that may impact a successful cloud migration project. The paper discusses a case study that analysed the key drivers and the impact of cloud migration within a retail environment. The empirical findings suggest that skills and competencies largely impact every aspect of cloud migration, from decision making to execution and support. Furthermore, that migrating to cloud will differ based on organisational need and the type of cloud service being adopted. In addition, the findings outlines that best practise may advance as more organisations migrate to cloud environments

    Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments

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    This chapter presents software architectures of the big data processing platforms. It will provide an in-depth knowledge on resource management techniques involved while deploying big data processing systems on cloud environment. It starts from the very basics and gradually introduce the core components of resource management which we have divided in multiple layers. It covers the state-of-art practices and researches done in SLA-based resource management with a specific focus on the job scheduling mechanisms.Comment: 27 pages, 9 figure

    5G framework for automated network adaptation in mission critical services

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    © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Mission Critical Services (MCS) are gaining interest among network operators to offer alternative communications than conventional trunked radio systems. They promise a simplified management of cloud and radio resources for service deployment. However, the network capabilities should be adapted for the changing conditions, to assure low-latency and reliability for such applications. This paper presents an on-going work on utilising 5G technology for Mission Critical Push To Talk (MCPTT) services. It describes some design elements and evaluates 5G ESSENCE architecture that enable mission critical applications.Peer ReviewedPostprint (author's final draft
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