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Peer-to-peer model is one of the commonly used model for distributed computing. Some of the peers are having demand for certain resources some others may be having additional capacity of resources. Peers may have limitations on the number of concurrent connections (degree). In the present work allocation problem of peers having demand, capacity and degree is considered. The problem is to find an allocation...
In this paper, we present the design and implementation of an application-layer data throughput prediction and optimization service for many-task computing in widely distributed environments. This service uses multiple parallel TCP streams to improve the end-to-end throughput of data transfers. A novel mathematical model is developed to determine the number of parallel streams, required to achieve...
Performance assurance has become an important aspect in grid and cloud computing which provide services over the Internet, and Service Level Agreements (SLA) are frequently contracted between users and the service providers. However, the I/O performance of the storage or data access service is still provided on a best effort basis. Some distributed storage systems implement performance reservation,...
It is nowadays common to use a grid middleware to access distributed resources in order to solve large problems. Many middleware can be found in the literature. Whereas they all rely on the use of resource brokers (also sometimes called agents) to schedule jobs, and servers to execute them, they do not share the same structure. Many rely on a simple design, e.g., a star graph (one agent managing several...
The mobility issue in grid environments has established new challenges to the research communities particularly in the areas of scheduling, adaptation, security and mobility. Especially, the resource allocation becomes more challenging when mobility is considered in grid environment. Hence it is necessary to consider the mobility of users along with the resource availability while scheduling the resources...
In recent years high performance computing has evolved from large and expensive supercomputers to network based environments or workstation clusters and to grid computing. A grid is composed by geographically sparse resources that join to form a virtual computer. The resources (computers, networks, storage devices, etc.) of the grid are heterogeneous and reside in differentiated domains. An important...
Agent based technologies have become more and more widespread during the last few years and the number of practical applications has noticeable increased, especially in the new Grid Computing paradigm. Grid Computing system implementations are easily transferable into Cluster Grid environments. So, the main purpose of this research is to validate integration functionalities and performances of an...
Data distribution, storage and access are essential to CPU-intensive and data-intensive high performance Grid computing. A newly emerged file system, Hadoop distributed file system (HDFS), is deployed and tested within the Open Science Grid (OSG) middleware stack. Efforts have been taken to integrate HDFS with other Grid tools to build a complete service framework for the Storage Element (SE). Scalability...
Grid computing provides mechanisms for making large-scale computing environments available to the masses. In recent times, with the advent of Cloud computing, the concepts of Software as a Service (SaaS), where vendors provide key software products as services over the internet that can be accessed by users to perform complex tasks, and Service as Software (SaS), where customizable and repeatable...
BOINC is a platform for volunteer computing. The server component of BOINC embodies a number of scheduling policies and parameters that have a large impact on the projects throughput and other performance metrics. We have developed a system, EmBOINC, for studying these policies and parameters. EmBOINC uses a hybrid approach: it simulates a population of volunteered clients (including heterogeneity,...
In data grid, co-allocation architecture can be used to enable parallel transferring of data file from multiple replicas which stored in the different grid sites. Some schemes base on co-allocation model were proposed and used to exploit the different transfer rates among various client-server network links and to adapt dynamic rate fluctuations by dividing data into fragment. These schemes showed...
In this paper, we address performance and scalability issues when AMGA (ARDA Metadata Grid Application) is used as a metadata service for task retrieval in the WISDOM (Wide in Silico Docking on Malaria) environment, and propose optimization techniques to deal with the issues. First, to deal with the performance problem due to the communication overhead caused by the need for jobs to call a series...
Probably the single most important concern of the biotechnology industry is to improve existing biotechnology applications and tools due to the exponential increase in the size of the datasets. Improving application specific performance, pertaining to sudden and dynamic changes in the execution environment has been a widely researched problem. This research was undertaken to find application specific...
In the last few years grid computing is evolving into a business-innovating technology that is driving commercial adoption. Such a new scenario calls for powerful strategies able to guarantee stringent QoS requirements in order to meet SLAs between customers and provider. For this reason, it is necessary to analyze and predict performance with respect to different load conditions or management strategies...
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