2016 IEEE International Conference on Autonomic Computing (ICAC)

17-22 July 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): C4
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - ix
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  • Welcome Message from the General Chair

    Publication Year: 2016, Page(s):x - xi
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  • Message from the Technical Program Chairs

    Publication Year: 2016, Page(s):xii - xiii
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  • Organizing Committee

    Publication Year: 2016, Page(s): xiv
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  • Program Committee

    Publication Year: 2016, Page(s):xv - xvi
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  • Steering Committee

    Publication Year: 2016, Page(s): xvii
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  • External reviewers

    Publication Year: 2016, Page(s): xviii
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  • In Memoriam: Karsten Schwan

    Publication Year: 2016, Page(s): xix
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  • Sponsors

    Publication Year: 2016, Page(s): xx
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  • ROSETTA: The Challenge of Escorting a Comet and Landing on Its Surface

    Publication Year: 2016, Page(s): 1
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    Summary form only given. One of the most interesting places in our solar system was 2014/2015 moving between the orbits of Jupiter and Earth, when the European space probe ROSETTA had a rendezvous with the comet 67 P Churyumov-Gerasimenko. In November 2014 the PHILAE lander separated from the mother spacecraft and landed by a combination of autonomous reactions and remote controls from a distance ... View full abstract»

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  • Addressing Assurance for Self-Adaptive Systems in the Face of Uncertainty

    Publication Year: 2016, Page(s): 2
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (89 KB)

    This presentation will overview several research projects that investigate novel ways to model, analyze, and mitigate uncertainty for self-adaptive cyber-physical systems, with a particular focus on assurance. First, uncertainty about the physical environment can lead to suboptimal, and sometimes catastrophic, results as the system tries to adapt to unanticipated or poorly-understood environmental... View full abstract»

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  • Building Autonomic Systems for IT Service Management

    Publication Year: 2016, Page(s): 3
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (90 KB)

    A large fraction of total cost of ownership for IT systems comes from service and labor costs (80% as estimated by Gartner Group). However, most prevailing practices in IT services are ad-hoc with low productivity. Although modeling and optimization techniques have been widely used in IT infrastructure management, their adoption in IT service management has limited success due to high uncertaintie... View full abstract»

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  • Cyber-Physical Control of Road Freight Transport

    Publication Year: 2016, Page(s): 4
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (89 KB)

    Freight transportation is of outmost importance for our society and is continuously increasing, particularly in the emerging economies. At the same time, transporting goods on roads accounts for about 26% of all energy consumption and 18% of greenhouse gas emissions in the European Union. Despite the influence the transportation system has on our energy consumption and the environment, road transp... View full abstract»

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  • NetKV: Scalable, Self-Managing, Load Balancing as a Network Function

    Publication Year: 2016, Page(s):5 - 14
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (326 KB) | HTML iconHTML

    Distributed key-value systems (e.g., memcached) are critical tools to cache popular content in memory, which avoids complex and expensive database queries and file system accesses. To efficiently use cache resources, balancing the load across a cluster of cache servers is important. Current approaches place a proxy at each client that can redirect requests across the cluster, but this requires mod... View full abstract»

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  • FESAS IDE: An Integrated Development Environment for Autonomic Computing

    Publication Year: 2016, Page(s):15 - 24
    Cited by:  Papers (6)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (438 KB) | HTML iconHTML

    While Autonomic Computing can ease the maintenance of systems through adaptations [1], the development of Autonomic Computing systems itself introduces a high complexity. Literature suggests that reusable processes for the development and reusable components in the adaptation logic can reduce the complexity. Existing approaches aim to reduce this complexity with tools and frameworks for specific t... View full abstract»

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  • On Efficiency and Scalability of Software-Defined Infrastructure for Adaptive Applications

    Publication Year: 2016, Page(s):25 - 34
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (757 KB) | HTML iconHTML

    This paper proposes and evaluates a novel analytical performance model to study the efficiency and scalability of software-defined infrastructure (SDI) to host adaptive applications. The SDI allows applications to communicate their adaptation requirements at run-time. Adaptation scenarios require computing and networking resources to be provided to applications in a timely manner to facilitate sea... View full abstract»

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  • Adaptive Block and Batch Sizing for Batched Stream Processing System

    Publication Year: 2016, Page(s):35 - 44
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1294 KB) | HTML iconHTML

    The need for real-time and large-scale data processing has led to the development of frameworks for distributed stream processing in the cloud. To provide fast, scalable, and fault tolerant stream processing, recent Distributed Stream Processing Systems (DSPS) treat streaming workloads as a series of batch jobs, instead of a series of records. Batch-based stream processing systems could process da... View full abstract»

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  • Prophet: Scheduling Executors with Time-Varying Resource Demands on Data-Parallel Computation Frameworks

    Publication Year: 2016, Page(s):45 - 54
    Cited by:  Papers (3)
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    Efficiently scheduling execution instances of dataparallel computing frameworks, such as Spark and Dryad, on a multi-tenant environment is critical to applications' performance and systems' utilization. To this end, one has to avoid resource fragmentation and over-allocation so that both idleness and contention of resources can be minimized. To make effective scheduling decisions, a scheduler has ... View full abstract»

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  • Hadoop Performance Self-Tuning Using a Fuzzy-Prediction Approach

    Publication Year: 2016, Page(s):55 - 64
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (602 KB) | HTML iconHTML

    The Apache Hadoop framework (currently known as YARN) is a widely used open-source implementation of MapReduce (MR). Manual tuning of Hadoop performance is hard and time-consuming so several self-tuning approaches have been proposed. This paper proposes an approach that avoids problems of previous self-tuning approaches based on performance models or resource usage, namely 1) need for a time-consu... View full abstract»

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  • ChEsS: Cost-Effective Scheduling Across Multiple Heterogeneous Mapreduce Clusters

    Publication Year: 2016, Page(s):65 - 74
    Cited by:  Papers (6)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (348 KB) | HTML iconHTML

    In recent years many organizations adopt the usage of multiple concurrent MapReduce frameworks running on different clusters in order to support data, failure, version and performance isolation for their Big Data applications. However, efficiently scheduling MapReduce workloads in such environments can be particularly challenging due to the observed tradeoff between the need for performance and th... View full abstract»

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  • A Distributed Framework for Carbon and Cost Aware Geographical Job Scheduling in a Hybrid Data Center Infrastructure

    Publication Year: 2016, Page(s):75 - 84
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1001 KB) | HTML iconHTML

    To mitigate the growing carbon footprints of data centers, many large IT organizations (e.g., Apple) have installed on-site renewables in their self-managed data centers. Meanwhile, to achieve low-cost global presence, these organizations often lease space and house their servers in geo-distributed colocation data centers, where they share the power (including renewables) with other tenants. Such ... View full abstract»

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