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  • Articles  (398)
  • Springer  (398)
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  • Computer Science  (398)
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  • Articles  (398)
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  • Springer  (398)
  • American Association for the Advancement of Science (AAAS)
  • American Chemical Society (ACS)
  • Oxford University Press
  • White Horse Press
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  • 2015-2019  (230)
  • 2005-2009
  • 1990-1994  (168)
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  • Computer Science  (398)
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  • 1
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    Springer
    In: Computing
    Publication Date: 2016-07-13
    Print ISSN: 0010-485X
    Electronic ISSN: 1436-5057
    Topics: Computer Science
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  • 2
    Publication Date: 2016-07-14
    Description: In microgrids, the integration of distributed energy resources (DERs) in the residential sector can improve power reliability, and potentially reduce power demands and carbon emissions. Improving the utilization of renewable energy in households is a critical challenge for DERs. In this regard, renewable power sharing is one of the possible solutions to tackle this problem. Even though this solution has attracted significant attention recently, most of the proposed power sharing frameworks focus more on centralized schemes. In contrast, in this paper, the performance of a proposed distributed power sharing framework is investigated. The problem is formulated as a repeated game between households in a microgrid. In this game, each household decides to cooperate and borrow/lend some amount of renewable power from/to a neighboring household, or to defect and purchase the entire demands from the main grid based on a payoff function. The Nash equilibrium of this game is characterized and the effect of the strategies taken by the households on the system is analyzed. We conduct an extensive evaluation using real demand data from 12 households of different sizes and power consumption profiles in Stockholm. Numerical results indicate that cooperation is beneficial from both an economical and environmental perspective and that households can achieve cost savings up to 20 %.
    Print ISSN: 0010-485X
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    Topics: Computer Science
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  • 3
    Publication Date: 2016-06-29
    Description: Data centers are major contributors to the emission of carbon dioxide to the atmosphere, and this contribution is expected to increase in the following years. This has encouraged the development of techniques to reduce the energy consumption and the environmental footprint of data centers. Whereas some of these techniques have succeeded to reduce the energy consumption of the hardware equipment of data centers (including IT, cooling, and power supply systems), we claim that sustainable data centers will be only possible if the problem is faced by means of a holistic approach that includes not only the aforementioned techniques but also intelligent and unifying solutions that enable a synergistic and energy-aware management of data centers. In this paper, we propose a comprehensive strategy to reduce the carbon footprint of data centers that uses the energy as a driver of their management procedures. In addition, we present a holistic management architecture for sustainable data centers that implements the aforementioned strategy, and we propose design guidelines to accomplish each step of the proposed strategy, referring to related achievements and enumerating the main challenges that must be still solved.
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    Topics: Computer Science
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  • 4
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    Springer
    In: Computing
    Publication Date: 2016-05-28
    Description: A new trend has been explored to tackle the limited resources of mobile devices: mobile cloud computing. However, there is a difficulty in deciding—at runtime—the more appropriate target resources where to run offloaded mobile device tasks. This study presents SmartRank, a scheduling approach to perform load partitioning and offloading for mobile applications using cloud computing to increase performance in terms of response time. We have applied the approach to a face recognition process based on cloudlet federation and resource ranking through balanced metrics. Besides, the tool was evaluated by two ways. First, by using system modeling (continuous-time Markov chain). Second, by using a full factorial experimental design to calibrate the SmartRank with the most suitable partitioning decision. Nevertheless, SmartRank uses an equation that is extensible to include new parameters and make it applicable to other scenarios.
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    Topics: Computer Science
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  • 5
    Publication Date: 2016-05-28
    Description: The success of the cloud computing paradigm is leading to a significant growth in size and complexity of cloud data centers. This growth exacerbates the scalability issues of the Virtual Machines (VMs) placement problem, that assigns VMs to the physical nodes of the infrastructure. This task can be modeled as a multi-dimensional bin-packing problem, with the goal to minimize the number of physical servers (for economic and environmental reasons), while ensuring that each VM can access the resources required in the next future. Unfortunately, the naïve bin packing problem applied to a real data center is not solvable in a reasonable time because the high number of VMs and of physical nodes makes the problem computationally unmanageable. Existing solutions improve scalability at the expense of solution quality, resulting in higher costs and heavier environmental footprint. The Class-Based placement technique (CBP) is a novel approach that exploits existing solutions to automatically group VMs showing similar behaviour. The Class-Based technique solves a placement problem that considers only some representative VMs for each class, and that can be replicated as a building block to solve the global VMs placement problem. Using real traces, we analyse our proposal performance, comparing different alternatives to automatically determine the number of building blocks. Furthermore, we compare our proposal against the existing alternatives and evaluate the results for different workload compositions. We demonstrate that the CBP proposal outperforms existing solutions in terms of scalability and VM placement quality.
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    Topics: Computer Science
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  • 6
    Publication Date: 2016-03-23
    Description: Identifying a reliable fault prediction technique is the key requirement for building effective fault prediction model. It has been found that the performance of fault prediction techniques is highly dependent on the characteristics of the fault dataset. To mitigate this issue, researchers have evaluated and compared a plethora of fault prediction techniques by varying the context in terms of domain information, characteristics of input data, complexity, etc. However, the lack of an accepted benchmark makes it difficult to select fault prediction technique for a particular context of prediction. In this paper, we present a recommendation system that facilitates the selection of appropriate technique(s) to build fault prediction model. First, we have reviewed the literature to elicit the various characteristics of the fault dataset and the appropriateness of the machine learning and statistical techniques for the identified characteristics. Subsequently, we have formalized our findings and built a recommendation system that helps in the selection of fault prediction techniques. We performed an initial appraisal of our presented system and found that proposed recommendation system provides useful hints in the selection of the fault prediction techniques.
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    Topics: Computer Science
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  • 7
    Publication Date: 2016-02-09
    Description: In this paper we study the problem of storing reliably an archive of versioned data. Specifically, we focus on systems where the differences (deltas) between subsequent versions rather than the whole objects are stored—a typical model for storing versioned data. For reliability, we propose erasure encoding techniques that exploit the sparsity of information in the deltas while storing them reliably in a distributed back-end storage system, resulting in improved I/O read performance to retrieve the whole versioned archive. Along with the basic techniques, we propose a few optimization heuristics, and evaluate the techniques’ efficacy analytically and with numerical simulations.
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    Topics: Computer Science
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  • 8
    Publication Date: 2016-06-28
    Description: The present research aims at introducing a new efficient approach to store shared text documents, which are individually replicated and customized by users, in a cloud server. The approach is applicable to all text file formats supported by any existing application. We assume a text document consists of both text and images. Instead of replicating text of the original document, two tiny intermediate files for each user are generated and stored. Formatting data and comments are produced and saved in a spreadsheet document and a new file format “.comment” respectively. The first file is a spreadsheet document that contains metadata about customized information including highlighted and underlined (and other formatting styles like strikethrough, bold and italic) parts of the document. The other file aims to store comments provided by user in a “.comment” file format. Furthermore, the approach addresses efficiently storage of annotated images inside the document. For this, an algorithm is proposed to store the difference between the annotated and the original images. Whenever a user wants to access his/her customized document, the intermediate files are attached to the original document and appeared to him/her. Finally, we evaluate the proposed approach through a real scenario. The experimental results show a large amount of disk space are saved.
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    Topics: Computer Science
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  • 9
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    Springer
    In: Computing
    Publication Date: 2016-06-30
    Description: Elasticity is a goal of cloud computing. An elastic system should manage in an autonomic way its resources, being adaptive to dynamic workloads, allocating additional resources when workload is increased and deallocating resources when workload decreases. PaaS providers should manage resources of customer applications with the aim of converting those applications into elastic services. This survey identifies the requirements that such management imposes on a PaaS provider: autonomy, scalability, adaptivity, SLA awareness, composability and upgradeability. This document delves into the variety of mechanisms that have been proposed to deal with all those requirements. Although there are multiple approaches to address those concerns, providers’ main goal is maximisation of profits. This compels providers to look for balancing two opposed goals: maximising quality of service and minimising costs. Because of this, there are still several aspects that deserve additional research for finding optimal adaptability strategies. Those open issues are also discussed.
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    Topics: Computer Science
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  • 10
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    Springer
    In: Computing
    Publication Date: 2016-08-17
    Description: Distributed systems are by now commonplace, yet remain an often difficult area of research. This is partly explained by the many facets of such systems and the inherent difficulty to isolate these facets from each other. In this paper we provide a brief overview of distributed systems: what they are, their general design goals, and some of the most common types.
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    Topics: Computer Science
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