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With the rapid development of the cloud computing and big data, many data center network are growing more large scale, and the number of servers is increasing at an exponential rate. In this paper, VCG (Vickrey-Clarke-Groves) mechanism was introduced into replica placement. Mapping from replica placement model to VCG mechanism was established and suitable payment function was designed. Data storage...
To reduce network energy consumption without losing system performance is a key technique in 5th generation wireless communication systems. The on-off control in multi base stations scenario is proved a mixed dynamic integer programming problem and is hard to be solved. In this work, we provide a novel energy aware dynamic on-off control method in multi-base station scenario to tackle this problem...
The last decade witnesses a dramatic advance of cloud computing research and techniques. One of the key faced challenges in this field is how to reduce the massive amount of energy consumption in cloud computing data centers. To address this issue, many power-aware virtual machine (VM) allocation and consolidation approaches are proposed to reduce energy consumption efficiently. However, most of those...
Due to the widespread use of cloud services, the need for proper and dynamic distribution will redouble the resources. One of the most complex problems in cloud environments is resource allocation such that on one hand the resource provider should obtain maximum utilization and on the other hand users want to lease best resources based on his time and budget constraints. Many studies which presented...
The following paper investigates the secondary sum rate of MIMO two-way cognitive relay networks with multiple relays using amplify and forward (AF) strategy. The capacity of the system can be maximize by using optimum power allocation (OPA) algorithm in place of equal power allocation(EPA) among all nodes, while assuming that all node having fully channel state information (CSI). It has been considered...
Cloud computing is a popular design pattern for the large and distributed data centers. In the distributed environment, load balancing of the nodes and task scheduling is the main concern for the designers. This article presents a Flexible load sharing algorithm (FLS) which introduce the third function. The third function makes partition the system in to domain. This function is helpful for the selection...
The focal point of this paper is the so-called Kelly Criterion, a prescription for optimal resource allocation among a set of gambles which are repeated over time. The criterion calls for maximization of the expected value of the logarithmic growth of wealth. While significant literature exists providing the rationale for such an optimization, this paper concentrates on the limitations of the Kelly-based...
Cloud computing has been established as a novel approach for computing where virtualized resources are available on demand. This permits the user to concentrate on the functional area and frees her/him from the burden of setting up data centers, hardware, software, network and licensing etc. Cloud computing helps in cost saving, easy accessibility, security, and 24×7 availability of resources to the...
Scheduling of tasks in distributed environment requires decision making approach for fair utilization and allocation of computing resources. In this paper, a scheduling model based on analytic hierarchy process (AHP) is discussed. The user tasks are compared using pair-wise comparison matrix and the machines are allocated on the basis of task priority. The paper also discusses an inconsistency identification...
The solution of multidomain/multiphysics problems is a computationally and memory demanding process, especially for large-scale differential equations. In this paper, we propose a cloud application that provides users a solution environment for multiphysics/multidomain problems utilizing cloud technologies that manage pre-existing hardware, network, operating system and applications. Particularly,...
We consider a problem of scheduling independent preemptable jobs on parallel identical machines with the schedule length criterion. The processing rate of a job at a given moment depends on the temporal amount of power allocated to this job. Available power and energy are treated as a doubly-constrained resource, thus the problem is to find the schedule with the minimal length which respects the given...
Ad-hoc networks are promising complements for the infrastructure based network under disastrous scenarios. However, due to the heterogeneous surrounding environment of each user, the channel availability of each user may be quite different. Cognitive radio emerges as a promising technology to enable two users to communicate under different channel availability, by opportunistically accessing available...
To efficiently exploit the inherent values of big data, the large-scale data center with multiple compute nodes is deployed. In this scenario, the job placement method becomes the key issue to match the compute nodes with the data analysis jobs, to balance the workloads among the nodes and meet the resource requirements for various jobs. In this work, an inverse clustering-based job placement method...
The SSD is adopted to improve the IO performanceof the storage system in the data center, the throughput allocation for clients is a challenging problem. We need to find a throughput allocation method, which can determine the throughput allocations of clients on each server, while both providing the fair allocations for clients and maximizing the utilization of system throughput resource in the entire...
English course online learning system is designed, the function of which includes the management function (personnel management, question library management, courseware management, security management, bulletin management and resource management), online learning (PPT, teaching video, difficulty parsing, homework problem), online test (randomly selected topic, automatic marking, chapter practice)...
In this paper, we introduce a pack-centric approach to data center resource management by abstracting a system as a pack of resources and considering the mapping of these packs onto physical data center resource groups, called swads. The assignment of packs/VMs to swads/PMs is formulated as an integer optimization problem that can capture constraints related to the available resources, data center...
Transistor miniaturization, combined with the dawn of novel switching semiconductor structures, calls for careful examination of the variability and aging of the computer fabric. Time-zero and time-dependent phenomena need to be carefully considered so that the dependability of digital systems can be guaranteed. Already, architectures contain many mechanisms that detect and correct physically induced...
A wireless sensor network usually has a large amount of nodes deployed in a area to report ambient reading, to detect abnormal events, or to monitor the region. Each sensor performs several tasks, such as computing, sensing and communicating. A node equipped with multiple sensors is able to participate in many sensing tasks to improve measurement accuracy. However, the contribution a new node can...
The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient...
Computing power is increasingly enabling software-based networking. Successful technologies, like Wi-Fi, can now take advantage of the state of the art approaches for software-based architectures, such as software-defined, service-centric, and information-centric networking. In this paper, we employ NovaGenesis — a future Internet architecture — as the foundation for Wi-Fi networks spectrum sensing...
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