Host and Network Optimizations for Performance Enhancement and Energy Efficiency in Data Center Networks

Modern data centers host hundreds of thousands of servers to achieve economies of scale. Such a huge number of servers create challenges for the data center network (DCN) to provide proportionally large bandwidth. In addition, the deployment of virtual machines (VMs) in data centers raises the requirements for efficient resource allocation and find-grained resource sharing. Further, the large number of servers and switches in the data center consume significant amounts of energy. Even though servers become more energy efficient with various energy saving techniques, DCN still accounts for 20% to 50% of the energy consumed by the entire data center. The objective of this dissertation is to enhance DCN performance as well as its energy efficiency by conducting optimizations on both host and network sides. First, as the DCN demands huge bisection bandwidth to interconnect all the servers, we propose a parallel packet switch (PPS) architecture that directly processes variable length packets without segmentation-and-reassembly (SAR). The proposed PPS achieves large bandwidth by combining switching capacities of multiple fabrics, and it further improves the switch throughput by avoiding padding bits in SAR. Second, since certain resource demands of the VM are bursty and demonstrate stochastic nature, to satisfy both deterministic and stochastic demands in VM placement, we propose the Max-Min Multidimensional Stochastic Bin Packing (M3SBP) algorithm. M3SBP calculates an equivalent deterministic value for the stochastic demands, and maximizes the minimum resource utilization ratio of each server. Third, to provide necessary traffic isolation for VMs that share the same physical network adapter, we propose the Flow-level Bandwidth Provisioning (FBP) algorithm. By reducing the flow scheduling problem to multiple stages of packet queuing problems, FBP guarantees the provisioned bandwidth and delay performance for each flow. Finally, while DCNs are typically provisioned with full bisection bandwidth, DCN traffic demonstrates fluctuating patterns, we propose a joint host-network optimization scheme to enhance the energy efficiency of DCNs during off-peak traffic hours. The proposed scheme utilizes a unified representation method that converts the VM placement problem to a routing problem and employs depth-first and best-fit search to find efficient paths for flows.

Arquiteturas do trigo: espaços de silagem no Alentejo, do século XIX à atualidade

O presente trabalho de investigação apresenta um estudo sistemático da expressão arquitetónica que teve na região do Alentejo a implantação agro-industrial da cultura do trigo, em especial, durante a "Campanha do Trigo", iniciada em 1929 e prosseguida durante o Estado Novo, até 1969. Para tanto, procede ao mapeamento dos elementos edificados, em ligação com os processos de produção, silagem e moagem industrial do trigo, bem como ao seu transporte, estabelecendo uma análise comparativa com outras regiões e países, com o intuito de revelar o impacto destes equipamentos nos diversos territórios e paisagens. Assim, procura-se compreender as relações que se estabeleceram entre a forma arquitetónica do silo (cujo desenho resulta fundamentalmente de uma resposta programática intrinsecamente ligada à sua função primordial - armazenamento do cereal) e os lugares, onde se implantaram e com os quais se procuraram articular, e as paisagens, com as quais perspetivaram dialogar. Para tal, procede-se a descrição do estado atual de cada exemplar das denominadas "arquiteturas do trigo", com o objetivo de gerar, num primeiro nível, o entendimento de cada caso em particular e, posteriormente, estabelecer, por efeito de comparação, um confronto, quer entre os diferentes contextos em que se inserem, quer entre as suas caraterísticas formais, de modo a tirar ilações que possibilitem problematizar o seu uso futuro, equacionando diferentes perspetivas de atuação sobre o edificado. Finalmente procura-se introduzir uma discussão segundo diferentes orientações e posicionamentos, de modo a invocar perspetivas de atuação sobre os silos, que se adequem a cada situação específica, a cada contexto e a cada lugar. É no confronto entre as abordagens enunciadas, que se evidencia, mais do que a pertinência, a emergência social e cultural de uma ação diligente, quer ao nível particular de cada peça silar, quer do sistema, do qual era parte integrante a linha de caminho de ferro, que através do seu traçado permitia interligar todas as peças silares e garantir o seu funcionamento a escala industrial; ABSTRACT: This research presents a systematic study of architectural expression of wheat crop agro-industrial development, in particular the "Wheat Campaign", started in 1929 and continue during the "New State", until 1969. We first proceed to map the built elements related to production processes, silage and wheat industrial grinding, as well as the ways of transportation, establishing a comparative analysis with other countries and regions, in order to reveal the impact of these objects in various territories and landscapes. We seek to understand the relationships between the architectural form of the silo (whose design is mainly a result of an intrinsically programmatic response linked to its primary function - cereal storage) and the places where they are implemented and the landscapes which they sought to communicate and articulate. Secondly, we describe the current status of each copy of the "wheat architectures" in Alentejo, with the main objective of attain, at first, the understanding of each particular case and, then, to establish a connection between the different contexts in which they operate and their formal characteristics, in order to conceive and discuss their future use, equating different perspectives of action in the buildings. Finally seeks to introduce a discussion according to different orientations and positions in order to invoke prospects for action on the grain elevators that are appropriate to each specific situation, every context and every place. It is the clash between the stated approaches, which shows more than the relevance, it shows social and cultural emergence of a diligent action on the particular level of each grain elevator on the system, which was an integral part of the railway, which through its tracing allowed to interconnect all grain elevators and assure its operation on an industrial scale

High performance and energy-efficient instruction cache design and optimisation for ultra-low-power multi-core clusters

High Energy efficiency and high performance are the key regiments for Internet of Things (IoT) end-nodes. Exploiting cluster of multiple programmable processors has recently emerged as a suitable solution to address this challenge. However, one of the main bottlenecks for multi-core architectures is the instruction cache. While private caches fall into data replication and wasting area, fully shared caches lack scalability and form a bottleneck for the operating frequency. Hence we propose a hybrid solution where a larger shared cache (L1.5) is shared by multiple cores connected through a low-latency interconnect to small private caches (L1). However, it is still limited by large capacity miss with a small L1. Thus, we propose a sequential prefetch from L1 to L1.5 to improve the performance with little area overhead. Moreover, to cut the critical path for better timing, we optimized the core instruction fetch stage with non-blocking transfer by adopting a 4 x 32-bit ring buffer FIFO and adding a pipeline for the conditional branch. We present a detailed comparison of different instruction cache architectures' performance and energy efficiency recently proposed for Parallel Ultra-Low-Power clusters. On average, when executing a set of real-life IoT applications, our two-level cache improves the performance by up to 20% and loses 7% energy efficiency with respect to the private cache. Compared to a shared cache system, it improves performance by up to 17% and keeps the same energy efficiency. In the end, up to 20% timing (maximum frequency) improvement and software control enable the two-level instruction cache with prefetch adapt to various battery-powered usage cases to balance high performance and energy efficiency.

From point cloud to HBIM: an integrated workflow for 3D reconstruction of heritage building with model accuracy evaluation

Modern society is now facing significant difficulties in attempting to preserve its architectural heritage. Numerous challenges arise consequently when it comes to documentation, preservation and restoration. Fortunately, new perspectives on architectural heritage are emerging owing to the rapid development of digitalization. Therefore, this presents new challenges for architects, restorers and specialists. Additionally, this has changed the way they approach the study of existing heritage, changing from conventional 2D drawings in response to the increasing requirement for 3D representations. Recently, Building Information Modelling for historic buildings (HBIM) has escalated as an emerging trend to interconnect geometrical and informational data. Currently, the latest 3D geomatics techniques based on 3D laser scanners with enhanced photogrammetry along with the continuous improvement in the BIM industry allow for an enhanced 3D digital reconstruction of historical and existing buildings. This research study aimed to develop an integrated workflow for the 3D digital reconstruction of heritage buildings starting from a point cloud. The Pieve of San Michele in Acerboli’s Church in Santarcangelo Di Romagna (6th century) served as the test bed. The point cloud was utilized as an essential referential to model the BIM geometry using Autodesk Revit® 2022. To validate the accuracy of the model, Deviation Analysis Method was employed using CloudCompare software to determine the degree of deviation between the HBIM model and the point cloud. The acquired findings showed a very promising outcome in the average distance between the HBIM model and the point cloud. The conducted approach in this study demonstrated the viability of producing a precise BIM geometry from point clouds.