Defined softwareengineering processes help to perform and guide softwareengineering course projects. However, several difficult issues are involved in designing a software process for this purpose. This design is ev...
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ISBN:
(纸本)1595933751
Defined softwareengineering processes help to perform and guide softwareengineering course projects. However, several difficult issues are involved in designing a software process for this purpose. This design is even harder when it must suit time-constrained course projects. Here, we discuss several issues concerning such processes, focusing on an educational setting.
作者:
Filho, Wilson P. PaulaComputer Science Dep
Synergia Systems and Software Engineering Laboratory t. Federal University of Minas Gerais Av. Antônio Carlos 6627 - Belo Horizonte - MG Brazil
In use-case driven software development, a project is organized as sequence of use-case development workflows. Here, we describe a process where each workflow instance is a sequence of model transformation steps, whos...
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Distributed denial of service (DDoS) attacks on the Internet have become an immediate problem. As DDoS streams do not have common characteristics, currently available intrusion detection systems (IDS) cannot detect th...
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Achieving acceptable quality of service in highly dynamic computing environments requires not only adaptation and reconfiguration of individual components of the system, but also collaboration among these components. ...
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Achieving acceptable quality of service in highly dynamic computing environments requires not only adaptation and reconfiguration of individual components of the system, but also collaboration among these components. To address these issues in adaptive multimedia applications, we propose COCA, a contract-based collaborative adaptation infrastructure. COCA uses contract specifications to describe the relationships among different system components, to generate code that realizes adaptive functionality, and to govern system-wide adaptive behavior during execution. COCA also provides a set of reusable adaptation services that enable legacy components to be integrated into an adaptive system. We demonstrate the use of COCA to construct an adaptive multimedia conferencing system from a collection of existing components that were not originally designed for interoperation.
We present a simple, local protocol, pCover, which provides partial (but high) coverage in sensor networks. Through pCover, we demonstrate that it is feasible to maintain a high coverage (~90%) while significantly inc...
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We present a simple, local protocol, pCover, which provides partial (but high) coverage in sensor networks. Through pCover, we demonstrate that it is feasible to maintain a high coverage (~90%) while significantly increasing coverage duration when compared with protocols that provide full coverage. In particular, we show that we are able to maintain 94% coverage for a duration that is 2.3-7 times the duration for which existing protocols maintain full coverage. Through simulations, we show that our protocol provides load balancing, i.e., the desired level of coverage is maintained (almost) until the point where all sensors deplete their batteries
This paper presents a content-based decentralized information aggregation service for pervasive environments. The service provides a uniform query interface where aggregation queries are specified using content descri...
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This paper presents a content-based decentralized information aggregation service for pervasive environments. The service provides a uniform query interface where aggregation queries are specified using content descriptors in the form of keywords, partial keywords, wildcards and ranges. The service guarantees that all data that matches a complex/range query was located and aggregated in an efficient and scalable way. The design of the aggregation service uses a decentralized aggregation trie along with a distributed and decentralized query engine. The deployment and experimental evaluation of the aggregation service are also presented. Evaluations include simulations as well as experiments using deployments on local-area network at Rutgers and wide-area PlanetLab testbed
As the Unified Modeling Language (UML) and modeldriven development (MDD) become increasingly common in industry, many developers are faced with the difficult task of understanding how an existing UML model realizes sy...
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As the Unified Modeling Language (UML) and modeldriven development (MDD) become increasingly common in industry, many developers are faced with the difficult task of understanding how an existing UML model realizes system requirements. Essentially, developers are required to understand the structure and behavior of UML models that they may have not created. Understanding these relationships is non-trivial, because the interactions in the model are not readily apparent. Commonly, the only means to elicit these relationships is visual inspection and guided simulation. This paper describes an alternative approach termed REVU (Requirements Visualization of UML), a process for visualizing functional requirements in terms of behavioral interactions in a UML model. We illustrate the use of this process with the visualization of scenarios for an adaptive light control system.
In previous years, many studies have been conducted on grid computing, in which users and resource providers organize various virtual organizations (VOs) to share resources and services. A VO organizes other sub-VOs f...
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In previous years, many studies have been conducted on grid computing, in which users and resource providers organize various virtual organizations (VOs) to share resources and services. A VO organizes other sub-VOs for the purpose of achieving the VO goal, which forms the hierarchical VO environment. In this paper, we model and formalize the resource allocation problem in hierarchical VOs. Resource providers and VOs agree upon the VO resource sharing policy, such as resource sharing amount and resource usage cost for VOs. We provide the resource allocation scheme of a VO resource broker to minimize the total cost in order to meet a user's job deadline. In addition, we deal with several cost adjustment methods in resource providers to utilize their resources efficiently in hierarchical VOs
Grid computing has emerged as an effective means of facilitating the sharing of distributed heterogeneous resources, enabling collaboration in large scale environments. However, the nature of grid systems coupled with...
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Grid computing has emerged as an effective means of facilitating the sharing of distributed heterogeneous resources, enabling collaboration in large scale environments. However, the nature of grid systems coupled with the overabundance and fragmentation of information, makes it difficult to monitor resources, services, and computations in order to plan and make decisions. In this paper we present Gridscape II, a customisable portal component that can be used on its own or plugged-in to compliment existing grid portals. Gridscape II manages the gathering of information from arbitrary, heterogeneous and distributed sources and presents them together seamlessly within a single interface. It also leverages the Google Maps API in order to provide a highly interactive user interface. Gridscape II is simple and easy to use, providing a solution to those users who do not wish to invest heavily in developing their own monitoring portal from scratch, and also for those users who want something easy to customise and extend for their specific needs
The advent of service-oriented grid computing has resulted in the need for grid resources such as clusters to enforce user-specific service needs and expectations. Service level agreements (SLAs) define conditions whi...
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The advent of service-oriented grid computing has resulted in the need for grid resources such as clusters to enforce user-specific service needs and expectations. Service level agreements (SLAs) define conditions which a cluster needs to fulfill for various jobs. An example of SLA requirement is the deadline by which a job has to be completed. In addition, these clusters implement job admission control so that overall service performance does not deteriorate due to accepting exceeding amount of jobs. However, their effectiveness is highly dependent on accurate runtime estimates of jobs. This paper thus examines the adverse impact of inaccurate runtime estimates for deadline constrained job admission control in clusters using the earliest deadline first (EDF) strategy and a deadline-based proportional processor share strategy called Libra. Simulation results show that an enhancement called LibraRisk can manage the risk of inaccurate runtime estimates better than EDF and Libra by considering the risk of deadline delay
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