this article describes the approach to building data mining cloud service based on actor model. the article describes the mapping of the algorithm decomposed into functional blocks on the set of actors. Also it descri...
详细信息
ISBN:
(纸本)9783319231266;9783319231259
this article describes the approach to building data mining cloud service based on actor model. the article describes the mapping of the algorithm decomposed into functional blocks on the set of actors. Also it describes the architecture and implementation of cloud service to perform data mining algorithms for actors. As an example, it describes the implementation and experiments with neural network learning algorithm on the cluster actors.
In this paper we consider distributed-parameter systems that allow for a Lagrangian or port-Hamiltonian formulation. We will distinguish the case where the Lagrangian or the Hamiltonian depend on derivative variables ...
详细信息
In this paper we consider distributed-parameter systems that allow for a Lagrangian or port-Hamiltonian formulation. We will distinguish the case where the Lagrangian or the Hamiltonian depend on derivative variables (jet-variables) of first-order and the case where second-order derivatives appear. this distinction will be important for the correct determination of the boundary conditions in the Lagrangian scenario and for the investigation of possible boundary ports in the Hamiltonian picture. the derivation of the partial differential equations and the boundary terms/ports will be accomplished in a geometric fashion by using the so-called Cartan-form. We visualize our results by mechanical examples such as beams and plates. (C) 2015, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Geographically dispersed cloud data centers (DCs) enable web application providers to improve their services' response time and availability by deploying application replicas in multiple DCs. To allow applications...
详细信息
ISBN:
(纸本)9781467372879
Geographically dispersed cloud data centers (DCs) enable web application providers to improve their services' response time and availability by deploying application replicas in multiple DCs. To allow applications requiring strong consistency to be deployed in multiple clouds, industry and academia have developed various scalable database systems that can guarantee strong inter-DC consistency with alleviated network overhead. For applications using these database systems, it is essential to take boththe network latencies to the end users and the communication overhead of the databases into account when selecting the hosting DCs. In this paper, we study how to identify the satisfactory deployment plan (hosting DCs and request routing) considering SLO satisfaction, migration cost, and operational cost for applications using these databases. the proposed approach involves two steps. First, it searches the deployment plan with minimum amount of SLO violations using genetic algorithm when the application is first migrated to the clouds. then it continuously optimizes the deployment in a certain time interval according to the changing workload and the current deployment plan. We illustrate how our approach works for the applications using two databases (Cassandra and Galera Cluster), and demonstrate the effectiveness of our approach through simulation studies using settings of two example applications (TPC-W and Twissandra). Our solution is extensible to applications using other database systems that have similar properties.
In this paper is proposed a thermodynamically consistent port Hamiltonian formulation of non isothermal reaction diffusion processes. the use of appropriate thermodynamic variables for the definition of the state and ...
详细信息
In this paper is proposed a thermodynamically consistent port Hamiltonian formulation of non isothermal reaction diffusion processes. the use of appropriate thermodynamic variables for the definition of the state and the co-state vectors allows to highlight, the inherent infinite dimensional interconnection structure linking the different thermodynamic phenomena (entropy production, diffusion, conduction) that is suitable for control purposes. the presentation is given for systems defined on one dimensional spatial domain. (C) 2015, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
NoSQL systems have become the vital components to deliver big data services in the Cloud. However, existing NoSQL systems rely on experienced administrators to configure and tune the wide range of configurable paramet...
详细信息
ISBN:
(纸本)9781467372879
NoSQL systems have become the vital components to deliver big data services in the Cloud. However, existing NoSQL systems rely on experienced administrators to configure and tune the wide range of configurable parameters in order to achieve high performance. In this paper, we present a policy-driven configuration management system for NoSQL systems, called PCM. PCM can identify workload sensitive configuration parameters and capture the tuned parameters for different workloads as configuration policies. PCM also can be used to analyze the range of configuration parameters that may impact on the runtime performance of NoSQL systems in terms of read and write workloads. the configuration optimization recommended by PCM can enable NoSQL systems such as HBase to run much more efficiently than the default settings for both individual worker node and entire cluster in the Cloud. Our experimental results show that HBase under the PCM configuration outperforms the default configuration and some simple configurations on a range of workloads with offering significantly higher throughput.
Software-Defined networking (SDN) has become a promising network architecture in which network devices are controlled by a SDN Controller. Employing SDN offers an attractive solution for network security. However the ...
详细信息
the choice of the state for a distributed-parameter system has some subtleties. the group of structure preserving maps or bundle morphisms, which map states to states and state and inputs to inputs is often rich enoug...
详细信息
the choice of the state for a distributed-parameter system has some subtleties. the group of structure preserving maps or bundle morphisms, which map states to states and state and inputs to inputs is often rich enough for explicit control systems described by ODEs. In contrast the group of admissible maps is not limited to morphisms in the PDE case. the best known example is the wave equation, where two different descriptions in electrical and mechanical engineering are used, which are not linked by a bundle morphism. this contribution is limited to Hamiltonian and Lagrangian systems, where it is shown, how different descriptions can be derived from the same variational principle by standard and non standard transformations. In particular, we consider beams and plates. (C) 2015, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Achieving efficient resource allocation is one of the most challenging problems faced by cloud providers. these providers usually maintain hosted web applications within multiple tiers over the cloud, leading to an ov...
详细信息
ISBN:
(纸本)9783319232379;9783319232362
Achieving efficient resource allocation is one of the most challenging problems faced by cloud providers. these providers usually maintain hosted web applications within multiple tiers over the cloud, leading to an overall increased complexity. To answer user requests, meet their Service Level Agreements (SLA) and reduce the energy cost of the data center, cloud systems are being enforced with self-adaptive features such as self-scaling, to efficiently automate the resource allocation process. However, the main concern is how to choose the best resource configuration to reach these objectives of Quality of Service (QoS) with a minimal amount of resources consumption. In this context, we target to use performance modelling and analysis, to forecast the system performances and deduce the most appropriate resource configuration to be applied by the autonomic manager. As a first work to define a modelling based resource allocation autonomic manager, we present, in this paper, the modelling and analysis process, allowing to predict the efficiency of the self-adaptive systems relating resource allocation in the context of multitiers cloud systems. We used Stochastic Petri Nets modelling, enforced with a reduction method to avoid a scalability issue. A set of experiments illustrates our approach starting from modelling to performance evaluation of the studied system.
Detecting anomalous data is essential to obtain critical and actionable information such as intrusions, faults, and system failures. In this paper an agent-based clustering algorithm to detect anomalies in a distribut...
详细信息
ISBN:
(纸本)9783319264042;9783319264035
Detecting anomalous data is essential to obtain critical and actionable information such as intrusions, faults, and system failures. In this paper an agent-based clustering algorithm to detect anomalies in a distributed system, is introduced. Each data object, independently of which source it arrives, is associated with a mobile agent following the flocking algorithm, a self-organizing bio-inspired computational model. the agents are randomly disseminated onto a virtual space where they move in order to form a flock. thanks to a tailored similarity function the agents that are associated with similar objects form a flock, whereas the agents that are associated with objects dissimilar (outliers/anomalies) to each other do not group in flocks. Preliminarily experimental results confirm the validity of the proposed approach.
暂无评论