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检索条件"任意字段=7th ACM Symposium on Computing for Development, ACM DEV 2016"

共 22 条记录，以下是1-10 订阅

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Proceedings of the 7th Annual symposium on computing for development, acm dev-7 2016

Proceedings of the 7th Annual Symposium on Computing for Dev...

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7th acm symposium on computing for development, acm dev 2016

ISBN: (纸本)9781450346498

the proceedings contain 42 papers. the topics discussed include: Sporshohin: a tale of devising visible light based low-cost robust touchless input device;mobile device administration for secure and manageable health data collection in under-resourced areas;preventive detection of mosquito populations using embedded machine learning on low power IoT platforms;alphacodes: usable, secure transactions with untrusted providers using human computable puzzles;equitable development through deep learning: the case of sub-national population density estimation;iterative design of an immunization information system in Pakistan;apps and skits: enabling new forms of village-to-clinic feedback for rural health education;claims-to-patterns approach to leverage mobile interaction design for low-literacy users;and EyePen: ease of reading for less privileged visually-impaired people.

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An Overview of Reference Architectures for Cloud of things 20

An Overview of Reference Architectures for Cloud of Things

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35th Annual acm symposium on Applied computing (SAC)

作者： Dias, Diogenes Delicato, Flavia C. Pires, Paulo F. Rocha, Atslands R. Nakagawa, Elisa Y. Univ Sao Paulo Sao Carlos Brazil Fluminense Fed Univ Niteroi RJ Brazil Fed Univ Ceara UFC Fortaleza Ceara Brazil

ISBN: (纸本)9781450368667

Cloud of things (CoT) is a new paradigm that explores the synergy between Internet of things (IoT) and cloud computing and has increasingly promoted the development of complex software intensive systems in diverse and even critical application domains. In parallel, reference architectures have contributed as a means to capture the knowledge of how to develop, standardize, and evolve software-intensive systems and, as a consequence, have promoted quality issues in different domains. However, there is still a lack of investigation on reference architectures for CoT, which could be impacting the lack of standardization in CoT systems. Hence, the main contribution of this paper is to present an overview of reference architectures for CoT and, for this, we conducted a systematic mapping study (SMS) and found eight architectures proposed quite recently in different application domains. As a result, these architectures have advanced mainly in terms of standardization, but they have not still large dissemination and wider adoption by the software industry. Several open issues can be pointed out, including actions to promote the sustainability of these architectures.

关键词： Internet of things Cloud computing Cloud of things Reference Architecture Systematic Mapping Study

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Beauty and Joy of computing: 2016-17 Findings from an AP CS Principles course 19

Beauty and Joy of Computing: 2016-17 Findings from an AP CS ...

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50th acm-SIGCSE Technical symposium on Computer Science Education (SIGCSE)

作者： Mark, June Klein, Kelsey Educ Dev Ctr Waltham MA 02453 USA

ISBN: (纸本)9781450358903

In 2016-17, the College Board launched the Advanced Placement (AP) Computer Science Principles (CSP) course and exam. the AP CSP course was designed with the goal of broadening participation in computer science, and aims to introduce students to the creative aspects of computing by engaging students in developing computational artifacts related to their interests. the big ideas of the course include programming, abstraction, algorithms, data and information, the Internet, and also the global and societal impacts of computing. With support from the National Science Foundation (NSF), the Beauty and Joy of computing in New York City partnership created the Beauty and Joy of computing (BJC) course that is aligned to the AP CSP framework and endorsed by the College Board. the partnership recruited over 100 NYC teachers to implement the course, provided professional development (PD) and implementation support, and conducted research on the course implementation and the effects on teachers and students. this paper reports on findings from the implementation of BJC as an AP CSP course in NYC from the 2016-17 school year. It addresses student performance on a content knowledge assessment, a survey of students' attitudes toward computer science, and the 2017 AP CSP exam. Given the intentional design of the BJC course and AP CSP framework to address diversity and equity, student outcomes are also disaggregated by gender and race/ethnicity.

关键词： computer science education K-12 curriculum Computer Science Principles

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A Machine Learning Auditing Model for Detection of Multi-Tenancy Issues Within Tenant Domain 18

A Machine Learning Auditing Model for Detection of Multi-Ten...

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18th IEEE/acm International symposium on Cluster, Cloud and Grid computing (CCGrid)

作者： Vicentini, Cleverton Santin, Altair Viegas, Eduardo Abreu, Vilmar Pontificia Univ Catolica Parana Grad Program Comp Sci Curitiba Parana Brazil Fed Inst Parana Curitiba Parana Brazil

ISBN: (纸本)9781538658154

Cloud computing is intrinsically based on multi-tenancy, which enables a physical host to be shared amongst several tenants (customers). In this context, for several reasons, a cloud provider may overload the physical machine by hosting more tenants that it can adequately handle. In such a case, a tenant may experience application performance issues. However, the tenant is not able to identify the causes, since most cloud providers do not provide performance metrics for customer monitoring, or when they do, the metrics can be biased. this study proposes a two-tier auditing model for the identification of multi-tenancy issues within the tenant domain. Our proposal relies on machine learning techniques fed with application and virtual resource metrics, gathered within the tenant domain, for identifying overloading resources in a distributed application context. the evaluation using Apache Storm as a case study, has shown that our proposal is able to identify a node experiencing multi-tenancy interference of at least 6%, with less than 1% false-positive or false-negative rates, regardless of the affected resource. Nonetheless, our model was able to generalize the multi-tenancy interference behavior based on private cloud testbed monitoring, for different hardware configurations. thus, a system administrator can monitor an application in a public cloud provider, without possessing any hardware-level performance metrics.

关键词： Multi-tenancy Interference Cloud computing Machine Learning Classifier Stream Processing Provider and Client (tenant) Auditing

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Proceedings of the 7th acm symposium on Cloud computing, SoCC 2016

Proceedings of the 7th ACM Symposium on Cloud Computing, SoC...

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7th acm symposium on Cloud computing, SoCC 2016

ISBN: (纸本)9781450345255

the proceedings contain 38 papers. the topics discussed include: automating failure testing at Internet scale;characterizing private clouds: a large-scale empirical analysis of enterprise clusters;availability knob: flexible user-defined availability in the cloud;a fault-tolerant framework for asynchronous iterative computations in cloud environments;Ako: decentralised deep learning with partial gradient exchange;RAMinate: hypervisor-based virtualization for hybrid main memory systems;follow the sun through the clouds: application migration for geographically shifting workloads;BASS: improving I/O performance for cloud block storage via byte-addressable storage stack;Grandet: a unified, economical object store for web applications;Radiatus: a shared-nothing server-side web architecture;disciplined inconsistency with consistency types;towards weakly consistent local storage systems;adaptive caching in big SQL using the HDFS cache;principled workflow-centric tracing of distributed systems;PerfOrator: eloquent performance models for resource optimization;programming and runtime support to blaze FPGA accelerator deployment at datacenter scale;PipeGen: data pipe generator for hybrid analytics;TR-Spark: transient computing for big data analytics;job-aware scheduling in Eagle: divide and stick to your probes;and optimizing interactive development of data-intensive applications.

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Global software development projects as a framework for capacity building in developing countries 16

Global software development projects as a framework for capa...

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7th acm symposium on computing for development, acm dev 2016

作者： Scharff, Christelle Sheikh, Yahya H. Rai, Idris A. Pace University Seidenberg School of Computer Science and Information Systems New YorkNY United States Department of Computer Science Tanzania United Republic of

ISBN: (纸本)9781450346498

In the university setting, global software development (GSD) projects involve teams of students distributed across several countries and working collaboratively on the development of software artifacts and software. Students are confronted with issues related to distance, time and culture. In 2014, students from the State University of Zanzibar in Tanzania and Pace University in the US united in the annual GSD project to develop mobile apps targeting the Tanzanian context. In this paper, we focus on the roles and experience with GSD of Tanzanian students. We describe their motivations for participating, the challenges they encountered, and what they learned. We explore how GSD can be used to speed up skills acquisition for both entrepreneurs and IT professionals in developing countries. the results we present are useful for academic institutions, tech hubs and capacity building organizations.

关键词： Students

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Claims-to-patterns approach to leverage mobile interaction design for low-literacy users 16

Claims-to-patterns approach to leverage mobile interaction d...

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7th acm symposium on computing for development, acm dev 2016

作者： Belay, Elefelious G. McCrickard, D. Scott Besufekad, Solomon A. IT PhD Program/Faculty of Computing Addis Ababa University/Bahir Dar University Addis Ababa Bahir Dar Ethiopia Center of HCI and Department of Computer Science Virginia Tech BlacksburgVA United States Center for IT Research and Innovation IT PhD Program Addis Ababa University Addis Ababa Ethiopia

ISBN: (纸本)9781450346498

this paper presents a method to leverage mobile interaction design knowledge for low-literacy, moving from falsifiable hypotheses (claims) to actionable solutions (patterns). In prior work, claims and patterns have been used separately for different application areas and in different contexts. this research asserts that the transition from claims to patterns will enhance the design value, leveraging claims for uncertain situations and inexplicit user behavior and patterns for proven solutions for recurrent problems. this paper examines how these two structures can be combined in a claims-to-patterns approach to leverage mobile interaction design for low-literacy. To demonstrate this method, an example that highlights how claims evolve into patterns through research and design is discussed.

关键词： Behavioral research

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Equitable development through deep learning: the case of sub-national population density estimation 16

Equitable development through deep learning: The case of sub...

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7th acm symposium on computing for development, acm dev 2016

作者： Doupe, Patrick Bruzelius, Emilie Faghmous, James Ruchman, Samuel G. Arnhold Institute for Global Health New YorkNY United States Office of the un Secretary-General's Special Envoy for Health in Agenda 2030 and for Malaria New YorkNY United States

ISBN: (纸本)9781450346498

High-resolution population density maps are a critical component for global development efforts, including service delivery, resource allocation, and disaster response. Traditional population density efforts are predominantly survey driven, which are laborious, prohibitively expensive, infrequently updated, and inaccurate - especially in remote areas. Furthermore, these maps are developed on a regionalbasis where the methods used vary region to region, hence introducing notable spatio-temporal heterogeneity and bias. the advent of global-scale satellite imagery provides us with an unprecedented opportunity to create inexpensive, accurate, homogeneous, and rapidly updated population maps. To fulfill this vision, we must overcome both infrastructure and methodological obstacles. We propose a convolutional neural network approach that addresses some of the methodological challenges, while employing a publicly available, albeit low resolution, remote sensed product. the method converts satellite images into population density estimates. To explore both the accuracy and generalizability of our approach, we train our neural network on Tanzanian imagery and test the model on Kenyan data. We show that our method is able to generalize to unseen data and we improve upon the current state of the art by 177 percent. © 2016 acm.

关键词： Satellite imagery

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Designing the ultimate tech-hub: ICT ecosystem virtualization and acceleration 16

Designing the ultimate tech-hub: ICT ecosystem virtualizatio...

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7th acm symposium on computing for development, acm dev 2016

作者： Omwenga, Brian Gichana University of Nairobi School of Computing and Informatics Nairobi Kenya

ISBN: (纸本)9781450346498

this paper argues for a virtual tech hub design ontology which would be the closest representation of the tech-innovation ecosystem. Many physical tech hubs seek to bring to one place actors and agents within the tech-innovation ecosystem. the techinnovation ecosystem has been a primary aspect of discussion around the success or failure of many tech innovations in developing countries. Existence of an enabling ecosystem which absorbs and sustains technology innovation solutions is necessary. the question of understanding appropriate technology context as ecosystem has led to many approaches and definitions, many of which have the limitation of focusing only on a given aspect rather than the whole ecosystem of actors and their inter-relations. the paper addresses and proposes a definition of the techinnovation ecosystem, and proposes the use of the virtual tech-hub as a useful tool to measure the intensity of tech-innovation. Starting from the premise that each locale presents its own unique physical ecosystem, this paper proposes a method of representing that ecosystem in the virtual sphere through ecosystem virtualization and representation. the virtual tech hub will be the ultimate hub without limitations of space, access or tenancy. It shall allow for uninhibited engagement of innovators and ecosystem enablers and stakeholders. the virtual hub can help policy makers to correctly measure actors and their interactions, and effectively accelerate ecosystem development, through focused intervention. this paper describes a virtual hub which attempts to achieve an entire ecosystem virtualization by offering through a single window, a collaborative integrated platform.

关键词： Virtualization

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Optimizing Interactive development of Data-Intensive Applications 7

Optimizing Interactive Development of Data-Intensive Applica...

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7th acm symposium on Cloud computing (SoCC)

作者： Interlandi, Matteo Tetali, Sai Deep Gulzar, Muhammad Ali Noor, Joseph Condie, Tyson Kim, Miryung Millstein, Todd Univ Calif Los Angeles Los Angeles CA 90024 USA Google Inc Menlo Pk CA USA

ISBN: (纸本)9781450345255

Modern Data-Intensive Scalable computing (DISC) systems are designed to process data through batch jobs that execute programs (e.g., queries) compiled from a high-level language. these programs are often developed interactively by posing ad-hoc queries over the base data until a desired result is generated. We observe that there can be significant overlap in the structure of these queries used to derive the final program. Yet, each successive execution of a slightly modified query is performed anew, which can significantly increase the development cycle. VEGA is an Apache Spark framework that we have implemented for optimizing a series of similar Spark programs, likely originating from a development or exploratory data analysis session. Spark developers (e.g., data scientists) can leverage VEGA to significantly reduce the amount of time it takes to re-execute a modified Spark program, reducing the overall time to market for their Big Data applications.

关键词： Query Rewriting Incremental Evaluation Spark Interactive development Big Data

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