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There is a lot of demand for multiple resources in cloud computing which allows various users to share a data center. This paper depicts resource scheduling problem to a bounded multi-dimensional knapsack problem, taking into account the requirement dependency among multi-dimensional resources.

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MRIS will be highly efficient and achieves high performance for a various set of workloads. Optimal mapping of virtual networks with hidden hops.

Network virtualization has emerged as a solution for the Internet inability to address the required challenges caused by the lack of coordination among Internet service providers for the deployment of new services. The allocation of resources is one of the main problems in network virtualization, mainly in the mapping of virtual nodes and links to specific substrate nodes and paths, also known as the virtual network embedding problem.

This paper proposes an algorithm based on optimization theory, to map the virtual links and nodes requiring a specific demand, looking for the maximization of the spare bandwidth and spare CPU in the substrate network, taking into account the CPU demanded by the hidden hops when a virtual link is mapped.

The components of the virtual networks nodes and links that do not ask for an specific demand are then allocated following a fairness criteria.

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KeywordsNetwork virtualization—Virtual network embedding—Virtual network mapping—Optimization theory. May Mosharaf Kabir Chowdhury. Recently network virtualization has been proposed as a promising way to overcome the current ossification of the Internet by allowing multiple heterogeneous virtual networks VNs to coexist on a shared infrastructure. A major challenge in this respect is the VN embedding problem that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources.

Since this problem is known to be NP-hard, previous research focused on designing heuristic-based algorithms which had clear separation between the node mapping and the link mapping phases. This paper proposes VN embedding algorithms with better coordination between the two phases. We formulate the VN embedding problem as a mixed integer program through substrate network augmentation. We then relax the integer constraints to obtain a linear program, and devise two VN embedding algorithms D-ViNE and R-ViNE using deterministic and randomized rounding techniques, respectively.

Simulation experiments show that the proposed algorithms increase the acceptance ratio and the revenue while decreasing the cost incurred by the substrate network in the long run. Quantifying load imbalance on virtualized enterprise servers. Virtualization has been shown to be an attractive path to increase overall system resource utilization. The use of live virtual machine VM migration has enabled more effective sharing of system resources across multiple physical servers, resulting in an increase in overall performance.

Live VM migration can be used to load balance virtualized clusters. To drive live migration, we need to be able to measure the current load imbalance. Further, we also need to accurately predict the resulting load imbalance produced by any migration.

In this paper we present a new metric that captures the load of the physical servers and is a function of the resident VMs.

This metric will be used to measure load imbalance and construct a load-balancing VM migration framework. The algorithm for balancing the load of virtualized enterprise servers follows a greedy approach, inductively predicting which VM migration will yield the greatest improvement of the imbalance metric in a particular step. Our results show that when we are able to accurately measure system imbalance, we can also predict future system state.

Our results show that our approach does not impose additional performance impact and is comparable to the virtual machine monitor overhead. Cloud Storage and Online Bin Packing.

We study the problem of allocating memory of servers in a data center based on online requests for storage.

Given an online sequence of storage requests and a cost associated with serving the request by allocating space on a certain server one seeks to select the minimum number of servers as to minimize total cost. We use two different algorithms and propose a third algorithm.

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We show that our proposed algorithm performs better for large number of random requests in terms of the variance in the average number of servers.

Apr Yong Zhu Mostafa H.

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Recent proposals for network virtualization provide a promising way to overcome the Internet ossification. The key idea of network virtualization is to build a diversified Internet to support a variety of network services and architectures through a shared substrate.

A major challenge in network virtualization is the assigning of substrate resources to virtual networks VN efficiently and on-demand. This paper focuses on two versions of the VN assignment problem: For the VNA-I problem, we develop a basic scheme as a building block for all other advanced algorithms.

Subdividing heuristics and adaptive optimization strategies are then presented to further improve the performance. Extensive simulation ex- periments demonstrate that the proposed algorithms can achieve good performance under a wide range of network conditions. A virtual network mapping algorithm based on subgraph isomorphism detection. Jens Lischka Holger Karl.

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Assigning the resources of a virtual network to the compo- nents of a physical network, called Virtual Network Map- ping, plays a central role in network virtualization. Existing approaches use classical heuristics like simulated annealing or attempt a two stage solution by solving the node map- ping in a rst stage and doing the link mapping in a second stage. The contribution of this paper is a Virtual Network Map- ping VNM algorithm based on subgraph isomorphism de- tection: Our experimental evaluations show that this method results in better mappings and is faster than the two stage approach, especially for large virtual networks with high resource con- sumption which are hard to map.

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Переход с сохранением данных в данный момент — платная услуга. Хотим предупредить, что на гибридном хранилище, в отличие от чистого SSD, возможна длительная до нескольких дней деградация скорости при замене в рейде вышедших из строя накопителей.

Кроме того, на гибридном хранилище отключен синхронный режим записи, что при аварии может привести к потере несохраненных данных. Больше мессенджеров, хороших и разных: Нашим клиентам, кто уже следит за нашими новостями в паблик аккаунте вайбера viber: Или переходите в приватный чат по ссылке вайбера viber: Седьмая версия языка программирования PHP может удвоить скорость ваших приложений, и даст много новых возможностей.

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