8,024 research outputs found
Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies
Grid is an infrastructure that involves the integrated and collaborative use
of computers, networks, databases and scientific instruments owned and managed
by multiple organizations. Grid applications often involve large amounts of
data and/or computing resources that require secure resource sharing across
organizational boundaries. This makes Grid application management and
deployment a complex undertaking. Grid middlewares provide users with seamless
computing ability and uniform access to resources in the heterogeneous Grid
environment. Several software toolkits and systems have been developed, most of
which are results of academic research projects, all over the world. This
chapter will focus on four of these middlewares--UNICORE, Globus, Legion and
Gridbus. It also presents our implementation of a resource broker for UNICORE
as this functionality was not supported in it. A comparison of these systems on
the basis of the architecture, implementation model and several other features
is included.Comment: 19 pages, 10 figure
High-Performance Cloud Computing: A View of Scientific Applications
Scientific computing often requires the availability of a massive number of
computers for performing large scale experiments. Traditionally, these needs
have been addressed by using high-performance computing solutions and installed
facilities such as clusters and super computers, which are difficult to setup,
maintain, and operate. Cloud computing provides scientists with a completely
new model of utilizing the computing infrastructure. Compute resources, storage
resources, as well as applications, can be dynamically provisioned (and
integrated within the existing infrastructure) on a pay per use basis. These
resources can be released when they are no more needed. Such services are often
offered within the context of a Service Level Agreement (SLA), which ensure the
desired Quality of Service (QoS). Aneka, an enterprise Cloud computing
solution, harnesses the power of compute resources by relying on private and
public Clouds and delivers to users the desired QoS. Its flexible and service
based infrastructure supports multiple programming paradigms that make Aneka
address a variety of different scenarios: from finance applications to
computational science. As examples of scientific computing in the Cloud, we
present a preliminary case study on using Aneka for the classification of gene
expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape
The Gridbus Toolkit for Service Oriented Grid and Utility Computing: An Overview and Status Report
Grids aim at exploiting synergies that result from cooperation of autonomous
distributed entities. The synergies that result from grid cooperation include
the sharing, exchange, selection, and aggregation of geographically distributed
resources such as computers, data bases, software, and scientific instruments
for solving large-scale problems in science, engineering, and commerce. For
this cooperation to be sustainable, participants need to have economic
incentive. Therefore, "incentive" mechanisms should be considered as one of key
design parameters of Grid architectures. In this article, we present an
overview and status of an open source Grid toolkit, called Gridbus, whose
architecture is fundamentally driven by the requirements of Grid economy.
Gridbus technologies provide services for both computational and data grids
that power the emerging eScience and eBusiness applications.Comment: 11 pages, 3 figures, 3 table
SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions
Cloud computing systems promise to offer subscription-oriented,
enterprise-quality computing services to users worldwide. With the increased
demand for delivering services to a large number of users, they need to offer
differentiated services to users and meet their quality expectations. Existing
resource management systems in data centers are yet to support Service Level
Agreement (SLA)-oriented resource allocation, and thus need to be enhanced to
realize cloud computing and utility computing. In addition, no work has been
done to collectively incorporate customer-driven service management,
computational risk management, and autonomic resource management into a
market-based resource management system to target the rapidly changing
enterprise requirements of Cloud computing. This paper presents vision,
challenges, and architectural elements of SLA-oriented resource management. The
proposed architecture supports integration of marketbased provisioning policies
and virtualisation technologies for flexible allocation of resources to
applications. The performance results obtained from our working prototype
system shows the feasibility and effectiveness of SLA-based resource
provisioning in Clouds.Comment: 10 pages, 7 figures, Conference Keynote Paper: 2011 IEEE
International Conference on Cloud and Service Computing (CSC 2011, IEEE
Press, USA), Hong Kong, China, December 12-14, 201
A Monitoring System for the BaBar INFN Computing Cluster
Monitoring large clusters is a challenging problem. It is necessary to
observe a large quantity of devices with a reasonably short delay between
consecutive observations. The set of monitored devices may include PCs, network
switches, tape libraries and other equipments. The monitoring activity should
not impact the performances of the system. In this paper we present PerfMC, a
monitoring system for large clusters. PerfMC is driven by an XML configuration
file, and uses the Simple Network Management Protocol (SNMP) for data
collection. SNMP is a standard protocol implemented by many networked
equipments, so the tool can be used to monitor a wide range of devices. System
administrators can display informations on the status of each device by
connecting to a WEB server embedded in PerfMC. The WEB server can produce
graphs showing the value of different monitored quantities as a function of
time; it can also produce arbitrary XML pages by applying XSL Transformations
to an internal XML representation of the cluster's status. XSL Transformations
may be used to produce HTML pages which can be displayed by ordinary WEB
browsers. PerfMC aims at being relatively easy to configure and operate, and
highly efficient. It is currently being used to monitor the Italian
Reprocessing farm for the BaBar experiment, which is made of about 200 dual-CPU
Linux machines.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 10 pages, LaTeX, 4 eps figures. PSN
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