In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components invol...
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In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components involved towards the construction of an integrated and homogeneous management system. Finally, we present a case study to demonstrate the applicability of our approach
This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top o...
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This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top of gridbus broker architecture and thereby enabling broker to discover resources semantically. The semantic component in the knowledge layer enables semantic description of grid resources with the help of ontology template. The ontology template has been created using Protege-OWL editor for different types of computing resources in the grid environment. The Globus Toolkit's MDS is used to gather grid resource information and Protege-OWL libraries are used to dynamically create knowledge base of grid resources. Algernon inference engine is used for interacting with the knowledge base to discover suitable resources.
With the advent of grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed r...
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In this work, we present two perspectives of gridcomputing by using two different grid middleware as examples: an Enterprise grid using Xgrid and a Global grid with gridbus. We also present the integration of Enterpr...
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This paper identifies challenges in managing resources in a gridcomputing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies d...
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Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of...
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Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of these requirements in order to allocate resources effectively. Service level agreements (SLAs) can be used to differentiate different value of jobs as they define service conditions that the cluster RMS agrees to provide for each different job. The SLA acts as a contract between a user and the cluster whereby the user is entitled to compensation whenever the cluster RMS fails to deliver the required service. In this paper, we present a proportional share allocation technique called LibraSLA that takes into account the utility of accepting new jobs into the cluster based on their SLA. We study how LibraSLA performs with respect to several SLA requirements that include: (i) deadline type whether the job can be delayed, (ii) deadline when the job needs to be finished, (iii) budget to be spent for finishing the job, and (iv) penalty rate for compensating the user for failure to meet the deadline
We present an algorithm for scheduling distributed data intensive bag-of-task applications on data grids that have costs associated with requesting, transferring and processing datasets. We evaluate the algorithm on a...
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ISBN:
(纸本)9780780390379
We present an algorithm for scheduling distributed data intensive bag-of-task applications on data grids that have costs associated with requesting, transferring and processing datasets. We evaluate the algorithm on a data grid testbed and present the results.
Parameter-sweep has been widely adopted in large numbers of scientific applications. Parameter-sweep features need to be incorporated into grid workflows so as to increase the scale and scope of such applications. New...
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Parameter-sweep has been widely adopted in large numbers of scientific applications. Parameter-sweep features need to be incorporated into grid workflows so as to increase the scale and scope of such applications. New scheduling mechanisms and algorithms are required to provide optimized policy for resource allocation and task arrangement in such a case. This paper addresses scheduling sequential parameter-sweep tasks in a fine-grained manner. The optimization is produced by pipelining the subtasks and dispatching each of them onto well-selected resources. Two types of scheduling algorithms are discussed and customized to adapt the characteristics of parameter-sweep, as well as their effectiveness has been compared under multifarious scenarios.
over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on th...
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