In order to create a more secure network ciphertext transmission environment and avoid the leakage of network data information, an improved design of network ciphertext data leakage prevention model ...was proposed. The open source cloud platform was used to build the transmission and connection environment required for private security information, followed by the deployment of the application structure mode of facility layer and network portal layer, and the authenticated of the identity component and index structure of network ciphertext data, thus realizing the design of ciphertext data leakage prevention model in combination with data space complexity calculation theory. Experiments show that the forwarding volume per unit time increases steadily to 5.8×1023 and the integrity can reach 98% at the end of the monitoring time. This indicates that the model has better practical application effect, which can solve the problem of unprovoked leakage of virtual network data information and protect the security of n
The results indicate that the implementation of bimodal IT, together with cloud computing technologies, brought significant benefits to IT resource management and allowed the coexistence of ...traditional and innovative operations. The study shares practices that can be applied by other organizations interested in developing platforms with multiple modes of operation and increasing maturity in the use of private cloud. Keywords: Bimodal virtualization, Private cloud, Governmental infrastructure, Resource management, Information technology innovation. 1. Revisáo de Literatura Nesta seção, apresentaremos os conceitos do termos técnicos descritos neste estudo, de modo a permitir que o leitor compreenda de forma clara e objetiva o tema do nosso objeto de pesquisa. * Computação em Nuvem - O National Institute of Standards and Technology (NIST) é responsável por criar normas e orientações de segurança da informação para sistemas de informação federáis nos EUA.
Throughout the last decade the Open Science Grid (OSG) has been fielding requests from user communities, resource owners, and funding agencies to provide information about utilization of OSG ...resources. Requested data include traditional accounting - core-hours utilized - as well as users certificate Distinguished Name, their affiliations, and field of science. The OSG accounting service, Gratia, developed in 2006, is able to provide this information and much more. However, with the rapid expansion and transformation of the OSG resources and access to them, we are faced with several challenges in adapting and maintaining the current accounting service. The newest changes include, but are not limited to, acceptance of users from numerous university campuses, whose jobs are flocking to OSG resources, expansion into new types of resources (public and private clouds, allocation-based HPC resources, and GPU farms), migration to pilot-based systems, and migration to multicore environments. In order to have a scalable, sustainable and expandable accounting service for the next few years, we are embarking on the development of the next-generation OSG accounting service, GRACC, that will be based on open-source technology and will be compatible with the existing system. It will consist of swappable, independent components, such as Logstash, Elasticsearch, Grafana, and RabbitMQ, that communicate through a data exchange. GRACC will continue to interface EGI and XSEDE accounting services and provide information in accordance with existing agreements. We will present the current architecture and working prototype.
As organizations with existing on-premise infrastructure investments shift to the hybrid cloud computing paradigm, it is imperative to address the various challenges involved. One of the most ...important issues is the utilization of novel workload scheduling heuristics in order to effectively harness the security provided by the private cloud and the virtually unlimited resources of the public cloud. In this paper, we propose heuristics for the scheduling of real-time bag-of-tasks jobs that arrive dynamically at a hybrid cloud. The proposed scheduling strategies take into account the end-to-end deadlines of the jobs, as well as the monetary cost required for the utilization of the complementary public cloud resources. Furthermore, they take into consideration that some of the component tasks of the jobs may require input data that are sensitive and thus should not be transferred to the public cloud. The performance of the proposed heuristics is evaluated by simulation. For comparison purposes, two widely used baseline scheduling policies are also examined. In the simulation experiments, we consider jobs with either tight or loose deadlines and with different probabilities that the input data of their component tasks are sensitive.
► Relations among cloud services and computing resources in private cloud were studied. ► Dual scheduling of cloud services and computing resources (DS-CSCR) was modeled. ► Ranking Chaos Algorithm ...(RCO) was presented for DS-CSCR. ► RCO showed remarkable performance for DS-CSCR in private cloud.
Private cloud as an important branch of cloud computing has brought significant benefit to many kinds of conglomerates in resource sharing. With central management of centre console, Service Composition Optimal Selection (SCOS) and Optimal Allocation of Computing Resources (OACR) are two critical steps for implementing high flexible and agile service provision and resource sharing among sub-enterprises and partner-enterprises under the key technologies of virtualization. However, two steps decision-making are inefficient and cumbersome. To overcome this deficiency, the idea of combining SCOS and OACR into one-time decision in one console is first presented in this paper, named Dual Scheduling of Cloud Services and Computing Resources (DS-CSCR). The mutual relations between the upper layer cloud services and the underlying infrastructures and their properties in the private cloud of conglomerate are deeply analyzed. For addressing large-scale DS-CSCR problem, a new Ranking Chaos Optimization (RCO) is proposed. With the consideration of large-scale irregular solution spaces, new adaptive chaos operator is designed to traverse wider spaces within a short time. Besides, dynamic heuristic and ranking selection are introduced to control the chaos evolution in the proposed algorithm. Theoretical analysis and simulations demonstrate that the new DS-CSCR outperforms the traditional two-level decision making with the improvements in both cloud service composition and computing resource allocation. In addition, RCO can remarkably give much prominent solutions with low time-consuming and high stability than a few typical intelligent algorithms for solving DS-CSCR in private cloud. With the new DS-CSCR and RCO, cloud services and computing infrastructures can then be quickly combined and shared with high efficient decision.
This work uses the open source codes and PHP web programming to implement a resource management system with power saving method for virtual machines. We propose a system integrated with open source ...software, such as KVM and Libvirt, to construct a virtual cloud management platform. This system can detect the status of cloud resources via SNMP, calculate the operation efficiency of the overall system, allocate virtual machines through the live migration technology, and turn off extra machines in the cloud to save energy. According to our proposed power saving method, we have constructed a power efficient virtualization management platform in the cloud. Our objective is to provide enterprises or end users with power saving private cloud solutions. In this work we have also built a web page to allow users to easily access and control the cloud virtualization resources, i.e., users can manage virtual machines and monitor the status of resources via the web interface. From analysis of the experimental results of live migration of virtual machines, this work demonstrates that efficient use of hardware resources is realized by the power saving method, and the aim of power saving for cloud computing is achieved.
Cloud computing has become the buzzword in the computing world. From the time that Internet took over, computing technologies have developed to a great extent. Computers were connected and networking ...among computers has led to distributed computing which further led to cluster computing and grid computing and cloud computing. The cloud provides an environment where the requirements like computing power, data storage, memory, licensed and latest software and software development platforms are provided to the customer as utility computing. The cloud has deployment models and service models. In this paper we will discuss the service models, the different types of clouds, need of Inter-Cloud, Inter-Cloud and their architecture, types of Inter-Clouds, topologies in Inter-Cloud and research issues in Inter-Cloud.
The availability of computational resources changed significantly due to cloud computing. In addition, we have witnessed efforts to execute High-Performance Computing (HPC) applications in the cloud ...attracted by the advantages of cost savings and scalable/elastic resource allocation. Allocating more powerful hardware and exclusivity allocating resources such as memory, storage, and CPU can improve performance in the cloud. For network interconnection, significant noise, and other inferences are generated by several simultaneous instances (multitenants) communicating using the same network. As increasing the network bandwidth may be an alternative, we designed an evaluation model, and performance analysis of NIC aggregation approaches in containerized private clouds. The experiments using NAS Parallel Benchmarks revealed that NIC aggregation approach outperforms the baseline up to ≈98% of the executions with applications characterized by intensive network use. Also, the Balance Round-Robin aggregation mode performed better than the 802.3ad aggregation mode in most assessments.
This paper presents the framework of a power-dispatching automation system (PDAS) based on a virtual private cloud, which extracts advantages of technologies, such as a virtual private cloud, a ...virtual private network, an https protocol, etc. Unlike existing on-premise or public cloud hosted PDASs that are vulnerable and may be subject to blackouts due to extreme conditions, such as natural disasters or cyberattacks, the proposed framework operates more safely and securely under those conditions, while at the same time meeting the reliability requirements for power systems as well. This paper presents the theory, architectural design, characteristics, and implementation process of the system, as well as its reliability and cyber security measurements. The annual failure time of the proposed system is reduced from 61.2 to about 0.43 min, about 142 times less than those of existing PDASs. This framework has been implemented in the Lipu power system in China since May 2016. Results show that the proposed system is reliable, safe, and cost-effective, with a bright prospect for future applications.
•Containerized regional ocean-modeling system is implemented in various clouds.•Container-based architecture is useful for reproducibility and portability of ROMS.•Container-based HPC architecture ...increases flexibility in private and public clouds.•Proposed container-based HPC architecture reduces preparation time for model setup.•Kubernetes-managed container cluster architecture is used for ocean modeling.
Various numerical models have been used to understand and predict ocean dynamics. For this reason, many information technology (IT) resources are required for high-resolution global ocean modeling. The development of cloud-computing technologies has enabled earth scientists to easily use numerical ocean models that require high-performance computing (HPC) and message-passing interface (MPI) software in private and public clouds. Although it is easier today to use computing resources than it was in the past, computational reproducibility and portability in diverse IT environments remain crucial issues. This study proposes a model execution architecture for computational reproducibility, portability, and agility based on container-based virtualization and orchestration technologies. We implement a containerized regional ocean-modeling system (ROMS), an MPI-based numerical ocean model that exists in various public or private cloud environments (e.g., personal computers and multiple-node servers). The preparation time for model setup is greatly reduced using our container-based HPC architecture. Containerization of ROMS is tested for its support of the portability of numerical modeling in a wide range of public-cloud environments. When leveraging an abstraction layer of complex and diverse infrastructure environments, we can run the ocean model more easily while obtaining computational reproducibility using a shareable deployment code. This advancement can be used to guide the containerization of various numerical models and to run them in parallel in public and private cloud-computing environments.
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