Aug 26, 2011
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Cloud computing, Grid computing’in ihtiyaclar doğrultusunda doğal evriminin bir sonucudur.
Karşılaştırma:
1) Çok basit temel terimler ile
-Grid şöyle söyler: Domainimize ve çalişmalarımıza, daha fazla hesaplama gücü alabilmek için kaynaklarını paylaşarak katıl.
-Cloud şöyle söyler: İhtiyacından bile daha fazla hesaplama gücü sağlayabiliriz. Sadece bize ne istediğini söyle biz sana veririz.
2) Daha teknik terimler ile
-Grid computing bircok dağıtık bilgisayarın bir ptoblemin çözümü için aynı anda uygulamasıdır. Bu problem genelde cok büyük hesaplama gücü gerektiren ve/veya cok büyük veri kümelerine ulaşıp işleyen scientific veya teknik problemdir. Genellikle, kullanıcıların bu servisleri kullanabilmesi için teknoloji altyapısı ile ilgili bilgiye ihtiyaçları vardır.
-Cloud computing ise bilgisayar teknolojilerinin internet tabanlı kullanımıdır. Bu bir dağıtık hesaplama sistemidir. Bu sistem içersinde scalable ve virtual kaynaklar inmternet üzerinden birer sermiş gibi sunulur. Kullanıcıların bu servisleri kullanabilmesi için, cloud teknoloji altyapısı ile ilgili bilgi ve uzmanlığa ihtiyacları yoktur.
Aug 26, 2011
Cloud computing is a natural evolution of concepts in Grid computing.
Comparison:
With very basic terms:
Grid says: “Let’s join our domains and efforts by shaing your resurces in order to get more computational power”.
Cloud says: “We can provide you more computational power than what you need. Just tell us what you want and we will give it to you”.
With more technical terms:
-Grid computing (computational grid) is the application of several computers to a single problem at the same time — usually to a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of data. Users mostly need to have knowledge of technology infrastructure to utilize the Grid services.
-Cloud computing is Internet (“cloud”) based development and use of computer technology (“computing”). It is a style of computing in which dynamically scalable and often virtualised resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure “in the cloud” that supports them.
May 8, 2011
Geographical Information Systems (GIS) presents data-intensive environment for
acquiring, processing and sharing geo-data among interested parties. In order to serve
geographical information to users in such environment, Service Oriented Architecture
(SOA) principles have gained great importance. In SOA-based systems, Information
Services support the discovery and handling of these geospatial services.
Some options for Information Services in SOA-based GIS systems include a) the Open
GIS Consortium (OGC) Web Registry Service (WRS) and b) the Universal Description,
Discovery, and Integration (UDDI). WRS is an OGC standard to discover/publish service
information of geospatial services. It presents a domain-specific registry capability for
geospatial information. UDDI is domain-independent standardized method for
publishing/discovering information about Web Services. As it is WS-Interoperability
(WS-I) compatible, UDDI has the advantage being interoperable with most existing
Grid/Web Service standards.
This study presents an approach combining domain-specific registry capabilities of WRS
and WS-I compatible UDDI Specifications. We extend UDDI Information Model to
support geospatial services. Our approach supports not only quasi-static, stateless
metadata, but also more extensive metadata requirements of rich interacting systems. The
implementation of our approach is being used to support a GIS workflow system which is
a part of NASA Solid Earth Virtual Observatory (SERVO) Grid project.
Go here
May 8, 2011
The Open Geospatial Consortium (OGC) defines a number of standards, both for data models
and for online services, that has been widely adopted in the Geographical Information System
(GIS) community. This has lead to a number of software development efforts, online data
archives, and application communities. We survey these in the first part of this report. We
furthermore find that the OGC standards are very compatible with Web Services standards,
although they are not technically implemented this way. We therefore, in the second part of
this report, describe our group’s efforts to reimplement OGC standard services as web
services. We focus particularly on the Web Map Service.
We also have built bridging services that allow our Web Service compatible WMS to interact
with non-Web Service versions of WMS. Cascading WMS is the key point in our proposed
solution for the interoperability problems in the GIS WMS services. Since Web Service
oriented WMS has different request response paradigm from non-Web Service versions, we
have extended cascading WMS by adding request handler functionality. This kind of WMS
behaves like both a cascading WMS and a proxy to handle different types of requests to
overcome interoperability problems between different WMS systems.
May 8, 2011
We describe our continuing work on implementing Open GIS Consortium (OGC) compatible Grid
Services for the International Solid Earth Research Virtual Observatory. Our initial efforts focused
on collecting Earthquake and GPS data from various sources, converting them to GML and
enabling query capabilities using pure Web Services approach. We have extended this work by
creating Web Services implementations of OGC-Web Feature Service and OGC-Web Map Service
for serving GML-formatted data. We also describe a Fault Tolerant High Performance Information
System (FTHPIS) to tie these services together.
Go here
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cloud computing, grid computing