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This article selects load balancing system technology to analyze, combines the live migration technology of virtual machine, and studys the frame of virtual machine live migration as well as the mathematical model applied to concrete process of the migration. The article presents that the process of combining the specific strategies of load balance to the frame of live migration, that the simulation...
This demo presents a SFC orchestrator that provides intelligent, dynamic and automated VNFs and network deployment over heterogeneous NFV and SDN enabled Cloud environments. The proposed architecture is based on the ETSI NFV reference architecture and TOSCA standards. In this demo, reliable VNF placement and chaining is ensured using the algorithm proposed in [1] “A Link Failure Recovery Algorithm...
Auto-scaling is a key challenge and benefit in cloud computing infrastructures where applications are deployed on one or more virtual machines (VMs) to balance efficiency in use against delivered performance. In different scenarios, there may be a need for either horizontal or vertical scaling. Therefore, scaling is an important operation of cloud management systems. One way to enable scaling as an...
The article offers a technology of usage of the tree- dimensional ground-based, air-based and remote sounding of the Earth surface based on cyber-physical systems, cloud computing and supercomputers according to the tasks of monitoring of the anthropogenic emergency situations. The article is devoted to the informational, operational and algorithmic support of the cyber physical system as exemplified...
Distributed storage allows to outsource a document to the cloud such that multiple users can easily access the file. The protection of the document stored relies on secret sharing, which generates and distributes shares of the document to the storage servers. However, the users have to trust that a certain amount of storage servers behaves honestly and do not lose (retrievability) or reveal (confidentiality)...
A widespread use of the cloud computing paradigm has increased the necessity and significance of improving the management efficiency of cloud data centers. Special attention is paid to solving cloud resource management problems. Due to the intensive changes of virtual machine (VM) workloads and different conditions of resource utilization the VM placement and migration problems should be solved and...
Cloud video processing and streaming services has to be delivered under heterogeneous network and device environments. Scalable video coding and transcoding are required to serve heterogeneous users. As the task scheduling algorithm pre-configures a Hadoop MapReduce platform with the assumption of homogeneous node processing capability and task complexity, it cannot well accommodate the practical...
Extending the range of Ex-equipment status monitoring with the help of big data to solve the practical problem is an important research subject nowadays. For high reliable storage and rapid access of data, the safety and optimization of data distribution based on Hadoop is studied. A multi-copy consistency Hash algorithm based on data correlation is proposed. The algorithm store the relevant data...
In recent years Wireless Sensor Networks have provided a effective solution for sensing and gathering spatial data by ZigBee protocol or other wireless network protocols. So the massive sensor data streams processing has reached many areas of monitoring application in internet of things. The sensor data streams constantly flow in and flow out of the monitoring system, cloud computing can provide a...
The use of cloud computing solutions for storing large volumes of data presents advantages such as scalability, availability, and virtually “unlimited” storage capacity. However, ensuring basic requirements such as integrity, availability, and privacy in a cloud infrastructure provided by unreliable third parties is a challenge, especially when the loss or leakage of information can bring significant...
Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Internet technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the...
This paper puts forward visualized data arrangement strategy of self-adaptation cloud computing, dynamically arranges virtual machine to physical host with less resources, so that it closes idle host, perceives optimal regression algorithm by combining with maximum relevant strategy and energy, so that it realizes dynamic balance of host load and increases efficiency as well as realizes service hand-over...
This present research work aims to maximize the performance of cloud systems while reducing the response time through dynamic load balancing algorithm in cloud computing environment. Cloud computing provides different information technology services as a commodity to its users. When it was introduced, business industries were using large-scale mainframes and they are increasing in numbers and sizes...
With the development of Cloud services and virtual appliances, more and more clients are willing to use these services to host their applications across different Cloud platforms. However, it becomes harder and harder for clients to select the most trustable Cloud service provider to host their applications. In this paper, we propose a Cloud provider selection model to choose the most reliable platform...
Monitoring ultrascale systems such as Clouds requires collecting enormous amount of data by periodically reading metric values from a system. Current approaches tend to select a static frequency for sampling monitoring data. On one hand, over-sampling the data by collecting it at high frequencies results in data redundancy during steady runs of the system. On the other hand, under-sampling with low...
With the growth of the Cloud Computing paradigm, a new challenge appears in the development of data centers: energy efficient load balancing in a dynamic and scalable environment with an undefined number of heterogeneous resources. In this context, considering that idle servers consume up to 60% of peak energy and the fact that usually the level of usage for a server is 20–30%, new load balancing...
The past decade has witnessed immense developments in the field of network computing thanks to the rise of the cloud computing paradigm, which enables shared access to a wealth of computing and storage resources without needing to own them. While cloud computing facilitates on-demand deployment, mobility and collaboration of services, mechanisms for enforcing security and performance constraints when...
Existing Big Data streams coming from social and other connected sensor networks exhibit intrinsic inter-dependency enabling unique challenges to scalable graph analytics. Data from these graphs is usually collected in different geographically located data servers making it suitable for distributed processing on clouds. While numerous solutions for large scale static graph analysis have been proposed,...
Energy efficiency has become one of the major design constraints for current and future cloud infrastructures. One way to conserve energy is to transition idle clusters, network elements and servers into low-powerstates. Therefore, Virtual Machine placement and dynamic re-configuration algorithms have beenrecently proposed for increasing the energy efficiency of virtualized infrastructures. However,...
Public storage clouds have become a popular choice for archiving certain classes of enterprise data - for example, application and infrastructure logs. These logs contain sensitive information like IP addresses or user logins due to which regulatory and security requirements often require data to be encrypted before moved to the cloud. In order to leverage such data for any business value, analytics...
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