Computer Architecture and Digital Systems
Elnaz Alikhah-Asl; Midia Reshadi
Volume 2, Issue 3 , August 2016, Pages 1-8
Abstract
Increasing the number of cores integrated on a chip and the problems of system on chips caused to emerge networks on chips. NoCs have features such as scalability and high performance. NoCs architecture provides communication infrastructure and in this way, the blocks were produced that their communication ...
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Increasing the number of cores integrated on a chip and the problems of system on chips caused to emerge networks on chips. NoCs have features such as scalability and high performance. NoCs architecture provides communication infrastructure and in this way, the blocks were produced that their communication with each other made NoC. Due to increasing number of cores, the placement of the cores in NoC platform has become an important issue. If wecan map the application cores close to each other to place them with more communication requirements, the performance parameters will improve and the network will be more efficient. Inthis paper, we propose two low complexity heuristic algorithms for the application mapping onto NoC to improve latency. In addition, one approach has been proposed to extract an Abstract graph from an application core graph, so, using this resent approach, we can map applications in two proposed algorithms. Moreover, we use bypass routers that can route packets in a cycle from the source to destination. Proposed algorithms and previous papers were compared on two real applications VOPD and MPEG-4 and results were reported.
Computer Networks and Distributed Systems
Minoo Soltanshahi
Volume 2, Issue 3 , August 2016, Pages 9-14
Abstract
Cloud computing is the latest technology that involves distributed computation over the Internet. It meets the needs of users through sharing resources and using virtual technology. The workflow user applications refer to a set of tasks to be processed within the cloud environment. Scheduling algorithms ...
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Cloud computing is the latest technology that involves distributed computation over the Internet. It meets the needs of users through sharing resources and using virtual technology. The workflow user applications refer to a set of tasks to be processed within the cloud environment. Scheduling algorithms have a lot to do with the efficiency of cloud computing environments through selection of suitable resources and assignment of workflows to them. Given the factors affecting their efficiency, these algorithms try to use resources optimally and increase the efficiency of this environment. The palbimm algorithm provides a scheduling method that meets the majority of the requirements of this environment and its users. In this article, we improved the efficiency of the algorithm by adding fault tolerance capability to it. Since this capability is used in parallel with task scheduling, it has no negative impact on the makespan. This is supported by simulation results in CloudSim environment.
Pattern Analysis and Intelligent Systems
Farzaneh Famoori; Vahid Khatibi bardsiri; Shima Javadi Moghadam; Fakhrosadat Fanian
Volume 2, Issue 3 , August 2016, Pages 15-26
Abstract
One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of ...
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One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of development requirement prediction of software system. Various kinds of effort estimation patterns have been presented in recent years, which are focused on intelligent techniques. This study made use of clustering approach for estimating required effort in software projects. The effort estimation is carried out through SWR (StepWise Regression) and MLR (Multiple Linear Regressions) regression models as well as CART (Classification And Regression Tree) method. The performance of these methods is experimentally evaluated using real software projects. Moreover, clustering of projects is applied to the estimation process. As indicated by the results of this study, the combination of clustering method and algorithmic estimation techniques can improve the accuracy of estimates.
Computer Networks and Distributed Systems
Kobra Bagheri; Mehran Mohsenzadeh
Volume 2, Issue 3 , August 2016, Pages 27-34
Abstract
Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance ...
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Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domains. High energy consumption in computer systems leads to their limited performance because of the increased consumption of carbon dioxide and amount of electricity bills. Thus, the goal of design of computer systems has been shifted to power and energy efficiency. Data grids can solve large scale applications that require a large amount of data. Data replication is a common solution to improve availability and file access time in such environments. This solution replicates the data file in many different sites. In this paper, a new data replication method is proposed that is not only data aware, but also is energy efficient. Simulation results with CLOUDSIM show that the proposed method gives better energy consumption, average response time, and network usage than other algorithms and prevents the unnecessary creation of replica, which leads to efficient storage usage.
Hossein Barghi Jond; Adel Akbarimajd; Nurhan Gürsel Özmen; Sonia Gharibzadeh
Volume 2, Issue 3 , August 2016, Pages 35-42
Abstract
This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. To this end, dynamic grasp ...
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This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. To this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained and are represented as a bound on robot acceleration. A trajectory optimization problem is defined for general motion where dynamic grasp conditions are regarded as constraint on acceleration. The optimal trajectory planning for linear, circular and curve motions are discussed. Optimization problems for linear and circular trajectories were analytically solved by previous studies and here we focused with curve trajectory where Genetic Algorithm is employed as a solver tool. Motion simulations showed that the resulted trajectories satisfy the acceleration constraint as well as velocity boundary condition that is needed to accomplish non-prehensile box manipulation task.
Computer Networks and Distributed Systems
Mohammadreza Pourkiani; Sam Jabbehdari; Ahmad Khademzadeh
Volume 2, Issue 3 , August 2016, Pages 43-53
Abstract
The Intelligent Transportation System (ITS) provides wireless and mobile communication between vehicles and infrastructure to improve the safety of transportation and make the journey more enjoyable. This system consists of many fixed and mobile nodes (Vehicles, Trains, Vessels, Air planes), Wireless ...
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The Intelligent Transportation System (ITS) provides wireless and mobile communication between vehicles and infrastructure to improve the safety of transportation and make the journey more enjoyable. This system consists of many fixed and mobile nodes (Vehicles, Trains, Vessels, Air planes), Wireless and Wired Telecommunication Technologies to exchange information between mobile nodes or between mobile nodes and fixed stations. The most common transportation tools are cars. Vehicular Ad-hoc Networks as an Application of Mobile Ad-hoc Networks and one of the subsets of Intelligent Transportation System provides wireless Ad-hoc communication between vehicles. VANET is a mobile wireless technology which is designed to improve safety of transportation with exchanging real time data between vehicles and providing different services to the users. It has special characteristics like high mobility and provides a broad range of services to the users, so it has been emerged as one of the research interests in the field of computer and telecommunication networks. In This paper we present different aspects of ITS and VANET to help the researchers to understand the Architecture, Communication Technologies and Applications of these networks.