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In this paper, we propose the architecture and fast virtual machine allocation mechanism to implement multiscreen engine on the smart node system. The proposed platform can provide clients with lower waiting time service on the non-preemptive multiscreen display tasks through cloud based network environments. In addition, the proposed scheme presents a greedily task allocation scheme on cloud based...
We consider a network of data streams from which an anomalous process with known target distribution is to be identified. Because in practice obtaining observations may be expensive, we assume that there is a constraint on the total number of observations based on which the decision has to be made. We derive a sufficient condition on the sampling budget such that the error probability is kept below...
We recently proved threshold saturation for spatially coupled sparse superposition codes on the additive white Gaussian noise channel [1]. Here we generalize our analysis to a much broader setting. We show for any memoryless channel that spatial coupling allows generalized approximate message-passing (GAMP) decoding to reach the potential (or Bayes optimal) threshold of the code ensemble. Moreover...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
This paper regards a network of wireless passive sensors, suitable for radar applications. The network observes multiple number of target signals to be estimated. We propose an unbiased estimator whose error is minimized by optimizing both the power allocation at sensor nodes and the fusion coefficients at the fusion center. Since the underlying optimization problems are subject to both the individual...
Task allocation problems have focused on achieving one-shot optimality. In practice, many task allocation problems are of repeated nature, where the allocation outcome of previous rounds may influence the participation of agents in subsequent rounds, and consequently, the quality of the allocations in the long term. We investigate how allocation influences agents' decision to participate using prospect...
In this paper, an analysis and a discussion about the possibility of fast approximation on stable pricing and allocation of resources in a combinatorial auction are presented. On the discussion, an approximate auction which has VCG-like pricing mechanism is used considering the situation when a cancellation of winner bid(s) occurred after its winner determination. An analysis about stable approximate...
Due to world wide restructuring of electric supply industry, assessment and allocation of wheeling prices among transmission users has become a crucial task. Wheeling prices are supposed to be distributed over transmission users. Allocation of wheeling prices means determination of distribution of wheeling prices among transmission users and this depends upon the contribution of each user in total...
This paper aims to design a Hadoop system and evaluates the performance of a task allocation scheme. The task allocation scheme splits each job into tasks using an appropriate splitting ratio, and assigns tasks to slave servers based on server processing performance and network resource availability. We experimentally evaluate the performance of the scale out of the task allocation scheme with five...
Elastic Optical Networks (EONs) have the potential to improve the fiber spectrum utilization by allocating spectrum resources to multiple traffic requests proportionally to the amount of carried traffic. However, achieving high spectrum utilization in this elastic scenario is hindered by the resulting spectrum fragmentation. A number of studies have addressed and made attempts to mitigate spectrum...
This paper proposes route advertisement policies (RAP) for the Border Gateway Protocol (BGP) with provider aggregatable (PA) addressing. The proposed RAP takes the advantage of address aggregation opportunity. If multiple address spaces are allocated to each of autonomous systems (ASes) that are multihomed to multiple upper ASes, reduction of the Forwarding Information Base (FIB) and quick convergence...
Software-defined networking (SDN) has been proposed as a new networking paradigm which separates the control and data forwarding planes. The controllers deployed as centralized network control entities are crucial for meeting the performance and efficiency requirements of these systems. The placement of these network entities, switch assignment and their load-aware operation are challenging research...
An algorithm to optimize distributed generation allocation in a long-term planning problem to purposely enhance hourly voltage profile is presented. This algorithm deploys an hourly optimal operation to fit the long-term planning problem. It requires the consideration of several operational factors both explicitly or as a byproduct. The complexity level of the problem and the degree of representation...
Hadoop is an open-source framework developed by Apache software foundation. It works on large datasets, as the data is been stored and processed across cluster in distributed environment. It consist of two components — HDFS and MapReduce. HDFS is used for storing the data and MapReduce is used to process those stored datasets. In current era large amount of data is generated by many websites, the...
Network Function Virtualization (NFV), Cloud Computing, and Software Defined Networking (SDN) are closely related technologies and their combination can provide complete and high quality services to the end users. Multiple Virtualized Network Functions (VNFs) can be implemented as Virtual Machines (VMs) on top of cloud servers, while the traffic flow traversing these VNFs can be facilitated through...
Device to Device communication has been considered as a popular issue for small cell networks. In this paper, a Sum Rate Priority Iterative Auction scheme is proposed to improve the spectral efficiency of mobile peer-to-peer communication for downlink cellular network. For spectral efficiency, first allocation of spectrum to various cellular and d2d devices is done by Reverse-iterative combinatorial...
This paper proposes a delay-aware resource provisioning policy for virtualized wireless networks (VWNs) to minimize the total average transmit power while holding the minimum required average rate of each slice and maximum average packet transmission delay for each user. The proposed cross-layer optimization problem is inherently non-convex and has high computational complexity. To develop an efficient...
With the development of various radio communication systems in recent years, spectrum sharing in heterogeneous networks has received a considerable amount of research attention for the efficient use of spectral resources, as the lack of these has emerged as an important problem. Prevalent spectral sharing methods focus on improving total throughput, and ignore lower throughput along the cell edges...
Through the collection and association of discrete time-series resource metrics and workloads, we can both provide benchmark and intra-job resource collations, along with system-wide job profiling. Traditional RDBMSes are not designed to store and process long-term discrete time-series metrics and the commonly used resolution-reducing round robin databases (RRDB), make poor long-term sources of data...
This paper proposes a delay-aware resource provisioning policy for virtualized wireless networks (VWNs) to minimize the total average transmit power while holding the minimum required average rate of each slice and maximum average packet transmission delay for each user. The proposed cross-layer optimization problem is inherently non-convex and has high computational complexity. To develop an efficient...
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