Flexible processing architecture for maintaining QoS in embedded systems applications

Comunicación presentada en las V Jornadas de Computación Empotrada, Valladolid, 17-19 Septiembre 2014

Tecnologie per l’analisi in tempo reale di Big Data: prestazioni a confronto

Lo scopo di questo l'elaborato è l'analisi,lo studio e il confronto delle tecnologie per l'analisi in tempo reale di Big Data: Apache Spark Streaming, Apache Storm e Apache Flink. Per eseguire un adeguato confronto si è deciso di realizzare un sistema di rilevamento e riconoscimento facciale all’interno di un video, in maniera da poter parallelizzare le elaborazioni necessarie sfruttando le potenzialità di ogni architettura. Dopo aver realizzato dei prototipi realistici, uno per ogni architettura, si è passati alla fase di testing per misurarne le prestazioni. Attraverso l’impiego di cluster appositamente realizzati in ambiente locale e cloud, sono state misurare le caratteristiche che rappresentavano, meglio di altre, le differenze tra le architetture, cercando di dimostrarne quantitativamente l’efficacia degli algoritmi utilizzati e l’efficienza delle stesse. Si è scelto quindi il massimo input rate sostenibile e la latenza misurate al variare del numero di nodi. In questo modo era possibile osservare la scalabilità di architettura, per analizzarne l’andamento e verificare fino a che limite si potesse giungere per mantenere un compromesso accettabile tra il numero di nodi e l’input rate sostenibile. Gli esperimenti effettuati hanno mostrato che, all’aumentare del numero di worker le prestazioni del sistema migliorano, rendendo i sistemi studiati adatti all’utilizzo su larga scala. Inoltre sono state rilevate sostanziali differenze tra i vari framework, riportando pro e contro di ognuno, cercando di evidenziarne i più idonei al caso di studio.

L'implementazione delle piattaforme di E-Procurement: il caso FAAC Group

Questa tesi concerne quella che è una generalizzata tendenza verso la trasformazione digitale dei processi di business. Questa evoluzione, che implica l’utilizzo delle moderne tecnologie informatiche tra cui il Cloud Computing, le Big Data Analytics e gli strumenti Mobile, non è priva di insidie che vanno di volta in volta individuate ed affrontate opportunamente. In particolare si farà riferimento ad un caso aziendale, quello della nota azienda bolognese FAAC spa, ed alla funzione acquisti. Nell'ambito degli approvvigionamenti l'azienda sente la necessità di ristrutturare e digitalizzare il processo di richiesta di offerta (RdO) ai propri fornitori, al fine di consentire alla funzione di acquisti di concentrarsi sull'implementazione della strategia aziendale più che sull'operatività quotidiana. Si procede quindi in questo elaborato all'implementazione di un progetto di implementazione di una piattaforma specifica di e-procurement per la gestione delle RdO. Preliminarmente vengono analizzati alcuni esempi di project management presenti in letteratura e quindi viene definito un modello per la gestione del progetto specifico. Lo svolgimento comprende quindi: una fase di definizione degli obiettivi di continuità dell'azienda, un'analisi As-Is dei processi, la definizione degli obiettivi specifici di progetto e dei KPI di valutazione delle performance, la progettazione della piattaforma software ed infine alcune valutazioni relative ai rischi ed alle alternative dell'implementazione.

Edge caching with mobility prediction in virtualized LTE mobile networks

Abstract Mobile Edge Computing enables the deployment of services, applications, content storage and processing in close proximity to mobile end users. This highly distributed computing environment can be used to provide ultra-low latency, precise positional awareness and agile applications, which could significantly improve user experience. In order to achieve this, it is necessary to consider next-generation paradigms such as Information-Centric Networking and Cloud Computing, integrated with the upcoming 5th Generation networking access. A cohesive end-to-end architecture is proposed, fully exploiting Information-Centric Networking together with the Mobile Follow-Me Cloud approach, for enhancing the migration of content-caches located at the edge of cloudified mobile networks. The chosen content-relocation algorithm attains content-availability improvements of up to 500 when a mobile user performs a request and compared against other existing solutions. The performed evaluation considers a realistic core-network, with functional and non-functional measurements, including the deployment of the entire system, computation and allocation/migration of resources. The achieved results reveal that the proposed architecture is beneficial not only from the users’ perspective but also from the providers point-of-view, which may be able to optimize their resources and reach significant bandwidth savings.

Dynamic Models under Uncertainty for Large-Scale Enterprise Systems

Thesis (Ph.D.)--University of Washington, 2016-06

A distributed systems approach to secure Internet mail

One of the obstacles to improved security of the Internet is ad hoc development of technologies with different design goals and different security goals. This paper proposes reconceptualizing the Internet as a secure distributed system, focusing specifically on the application layer. The notion is to redesign specific functionality, based on principles discovered in research on distributed systems in the decades since the initial development of the Internet. Because of the problems in retrofitting new technology across millions of clients and servers, any options with prospects of success must support backward compatibility. This paper outlines a possible new architecture for internet-based mail which would replace existing protocols by a more secure framework. To maintain backward compatibility, initial implementation could offer a web browser-based front end but the longer-term approach would be to implement the system using appropriate models of replication. (C) 2005 Elsevier Ltd. All rights reserved.

Practical assessment of neural network applications

This paper reports the initial results of a joint research project carried out by Aston University and Lloyd's Register to develop a practical method of assessing neural network applications. A set of assessment guidelines for neural network applications were developed and tested on two applications. These case studies showed that it is practical to assess neural networks in a statistical pattern recognition framework. However there is need for more standardisation in neural network technology and a wider takeup of good development practice amongst the neural network community.

New capabilities:can IT service providers leverage crowdsourcing?

Technological advancements enable new sourcing models in software development such as cloud computing, software-as-a-service, and crowdsourcing. While the first two are perceived as a re-emergence of older models (e.g., ASP), crowdsourcing is a new model that creates an opportunity for a global workforce to compete with established service providers. Organizations engaging in crowdsourcing need to develop the capabilities to successfully utilize this sourcing model in delivering services to their clients. To explore these capabilities we collected qualitative data from focus groups with crowdsourcing leaders at a large technology organization. New capabilities we identified stem from the need of the traditional service provider to assume a "client" role in the crowdsourcing context, while still acting as a "vendor" in providing services to the end client. This paper expands the research on vendor capabilities and IS outsourcing as well as offers important insights to organizations that are experimenting with, or considering, crowdsourcing.

Digital fiber nonlinearity compensation:toward 1-Tb/s transport

The world is connected by a core network of long-haul optical communication systems that link countries and continents, enabling long-distance phone calls, data-center communications, and the Internet. The demands on information rates have been constantly driven up by applications such as online gaming, high-definition video, and cloud computing. All over the world, end-user connection speeds are being increased by replacing conventional digital subscriber line (DSL) and asymmetric DSL (ADSL) with fiber to the home. Clearly, the capacity of the core network must also increase proportionally. © 1991-2012 IEEE.

A utility model for volunteered service composition

Volunteered Service Composition (VSC) refers to the process of composing volunteered services and resources. These services are typically published to a pool of voluntary resources. The composition aims at satisfying some objectives (e.g. Utilizing storage and eliminating waste, sharing space and optimizing for energy, reducing computational cost etc.). In cases when a single volunteered service does not satisfy a request, VSC will be required. In this paper, we contribute to three approaches for composing volunteered services: these are exhaustive, naïve and utility-based search approach to VSC. The proposed new utility-based approach, for instance, is based on measuring the utility that each volunteered service can provide to each request and systematically selects the one with the highest utility. We found that the utility-based approach tend to be more effective and efficient when selecting services, while minimizing resource waste when compared to the other two approaches.

A Digital Library of Folklore Songs and Keyword-Based Search Engine

ACM Computing Classification System (1998): H3.3, H.5.5, J5.

Eigenvalue communications in nonlinear fiber channels

Continuous progress in optical communication technology and corresponding increasing data rates in core fiber communication systems are stimulated by the evergrowing capacity demand due to constantly emerging new bandwidth-hungry services like cloud computing, ultra-high-definition video streams, etc. This demand is pushing the required capacity of optical communication lines close to the theoretical limit of a standard single-mode fiber, which is imposed by Kerr nonlinearity [1–4]. In recent years, there have been extensive efforts in mitigating the detrimental impact of fiber nonlinearity on signal transmission, through various compensation techniques. However, there are still many challenges in applying these methods, because a majority of technologies utilized in the inherently nonlinear fiber communication systems had been originally developed for linear communication channels. Thereby, the application of ”linear techniques” in a fiber communication systems is inevitably limited by the nonlinear properties of the fiber medium. The quest for the optimal design of a nonlinear transmission channels, development of nonlinear communication technqiues and the usage of nonlinearity in a“constructive” way have occupied researchers for quite a long time.

Interoperable resource brokering with policy-based provisioning and job allocation

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. ^ However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.^

Uma aplicação do método fuzzy-electre-topsis para seleção de serviços de computação em nuvem

This work presents an application of a hybrid Fuzzy-ELECTRE-TOPSIS multicriteria approach for a Cloud Computing Service selection problem. The research was exploratory, using a case of study based on the actual requirements of professionals in the field of Cloud Computing. The results were obtained by conducting an experiment aligned with a Case of Study using the distinct profile of three decision makers, for that, we used the Fuzzy-TOPSIS and Fuzzy-ELECTRE-TOPSIS methods to obtain the results and compare them. The solution includes the Fuzzy sets theory, in a way it could support inaccurate or subjective information, thus facilitating the interpretation of the decision maker judgment in the decision-making process. The results show that both methods were able to rank the alternatives from the problem as expected, but the Fuzzy-ELECTRE-TOPSIS method was able to attenuate the compensatory character existing in the Fuzzy-TOPSIS method, resulting in a different alternative ranking. The attenuation of the compensatory character stood out in a positive way at ranking the alternatives, because it prioritized more balanced alternatives than the Fuzzy-TOPSIS method, a factor that has been proven as important at the validation of the Case of Study, since for the composition of a mix of services, balanced alternatives form a more consistent mix when working with restrictions.

Alternative per la configurazione dell'infrastruttura di rete in piattaforme Openstack

In questo scritto si analizzeranno alcune alternative nella configurazione di rete della piattaforma di cloud computing open source OpenStack. Verrà mostrata un’ installazione in ambiente di laboratorio di un cluster completo basato sulla release Liberty di Openstack, per poi modificarne la componente dedicata al Networking in modo da sfruttare diversi plugin e diversi protocolli. Si osserverà il traffico generato all’interno e verso l’esterno del sistema Openstack in modo da avere un quadro generale del comportamento dell’infrastruttura.