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This work proposes a Multi-Constraint Resource Allocation (MuCoRA) method for applications from multiple domains onto multi-processors. In particular, we address a mapping problem for multiple throughput-constrained streaming applications and multiple latency-constrained feedback control applications onto a multi-processor platform running under a Time-Division Multiple-Access (TDMA) policy. The main...
NAND flash-based Solid State Drives (SSDs) have been widely deployed in data centers of cloud computing due to their high performance compared with hard disks, while the limited lifespan of flash memory makes SSDs not very suitable for write-intensive applications. Deduplication is an effective method used to reduce the write traffic of applications thus can be used to extend the lifespan of SSDs...
The Hadoop HDFS is a popular open-source distributed storage system, which serves as the foundation of many important big-data technologies. The performance of data replication is crucial to HDFS, since it accounts for a major portion of network traffic in the entire cluster. In this research, we propose to enable multicast-based replication, which is expected to use less network bandwidth than the...
In this research, we propose the evaluation scheme of interconnection network of Network on Chip (NoC) by the approach based on probability. In this paper, we focus the multistage network for simplify, and carry out the communication performance analysis on the single flit communication. As the result, the result of flit-level simulation and probability model simulation became almost same. As future...
Cloud-RAN is a novel architecture for LTE networks, where antennas with only limited processing capabilities are deployed in the field and all baseband and higher layer processing of the base stations is pooled in a central office. It has been shown that the centralization leads to multiplexing gains for signal processing hardware. When a system is able to efficiently cope with overload of the compute...
Due to fierce competition, cloud providers need to run their data-centers efficiently. One of the issues is to increase data-center utilization while maintaining applications' performance targets. Achieving high data-center utilization while meeting applications' performance is difficult, as data-center overload may lead to poor performance of hosted services. Service differentiation has been proposed...
In this paper, we consider an application provider that executes simultaneously periodic long running jobs and needs to ensure a minimum throughput to guarantee QoS to its users; the application provider uses virtual machine (VM) resources offered by an IaaS provider. Aim of the periodic jobs is to compute measures on data collected over a specific time frame. We assume that the IaaS provider offers...
Network Management tasks are currently characterized by their diversity both in terms of the situations that must be faced and the data used to reach conclusions. This complex and changing context imposes diverse needs and restrictions that must be covered by management tools in order for them to be useful. In order to face current challenges, we propose the application of Functional Data Analysis...
Ethernet has become the primary network protocol used due to its undeniable advantages such as low cost, high speeds or ease of management. Being a best effort protocol, the IEEE Data Center Bridging Task Group developed a series of Layer 2 enhancements including Quantized Congestion Notification (QCN) and enabled a loss less environment. In this paper we propose a method of dynamic network load balancing...
Software Defined Networking is one of the most promising approaches to the deployment of future network infrastructures. The most of the Internet service providers have to deal with a number of configurations to a crescent amount of network devices. SDN is a paradigm that proposes the separation of data forwarding plane from the data control plane. OpenFlow is an standard protocol used in SDN for...
Network simulations mostly focus on protocol observation, development, and prediction. However, newly developed protocol will take time to become standard and be implemented on network devices. A faster way of network improvement is to optimize existing network card parameters, because they are generic and protocol-independent. In this paper, we propose mathematical models to represent network card...
In this paper we present an approach to a decentralized intersection management which will not require much additional infrastructure at the intersection and which can operate in today's traffic so as to increase safety and to avoid congestion. For online optimization purposes which are required to avoid collisions, reduce fuel consumption or enhance traffic throughput, we use workflow processes to...
New high throughput floating-point dividers implemented in FPGA based on different fast computation division algorithms are proposed. The hardware implementations uses 32-bit floating-point single precision. The implementations include both multiplicative inverse and division. The proposed hardware implementations are designed with high computation speed and throughput. They are oriented for high...
In this paper, an energy efficient, memory-intensive, and high throughput VLSI architecture is proposed for convolutional networks (C-Net) by employing compute memory (CM) [1], where computation is deeply embedded into the memory (SRAM). Behavioral models incorporating CM's circuit non-idealities and energy models in 45nm SOI CMOS are presented. System-level simulations using these models demonstrate...
Satellite network has played an important role in the future global network, due to its advantages of global coverage and short round-trip time (RTT). Its characteristic of intermittent connection causes no-existence of end-to-end path in general in Disruption Tolerant Network (DTN), and thus the store-carry-forward mechanism is adopted. However, the store-carry-forward routing does not consider the...
This paper presents a methodology and a tool for modeling and simulating job assignment and migrations in large scale cloud infrastructures consisting of hundreds of thousands of processing, storage and networking nodes. Each cloud node, whether a server, or a disk array or a network element can be modeled according to a generalized single node queuing model, with appropriate parameterization and...
Being widely used in industries and organizations, Component based engineering is a technology for systems, highly successful in providing a product with high quality of functionality at low cost. This paper can enlighten beginners to the field of component based system and evaluating its architecture on certain parameters. Component based engineering can help to see how accurate, reliable or secure...
In this paper we present a framework for evaluating wireless network performance through emulation. The framework uses a hybrid design in which the PHY layer is represented by a probabilistic model, whereas the MAC layer is executed as a functional module. Actual network applications and protocols are employed in order to create realistic test conditions. We use WiMAX as a case study to show the feasibility...
We propose the Unified Automata Processor (UAP), a new architecture that provides general and efficient support for finite automata (FA). The UAP supports a wide range of existing finite automata models (DFAs, NFAs, A-DFAs, JFAs, counting-DFAs, and counting-NFAs), and future novel FA models. Evaluation on realistic workloads shows that UAP implements all models efficiently, achieving line rates 94...
Large scale graph analytics are an important class of problem in the modern data center. However, while data centers are trending towards a large number of heterogeneous processing nodes, graph analytics frameworks still operate under the assumption of uniform compute resources. In this paper, we develop heterogeneity-aware data ingress strategies for graph analytics workloads using the popular PowerGraph...
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