Globus Toolkit 4

Globus Toolkit 4 Programming Java Services

Outline • • • • • • •

Grid computing Solution Definition The Grid architecture OGSA , WSRF ,and GT4 Relationship & Layered Diagram Summary

Grid computing • In general, enables us to access heterogeneous resources from different organizations by providing a set of protocols, technologies, and methodologies that provide an answer to these questions. • In essence, Grid computing is all about: achieving greater performance and throughput by pooling together resources from different organizations.

Solution

Solution

Definition •

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A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to computational capabilities. A Grid is a system that: coordinates resources that are not subject to centralized control … … using standard, open, general-purpose protocols and interfaces … to deliver nontrivial qualities of service.

• The Grid vision requires protocols (and interfaces and policies) that are not only open and generalpurpose but also standard. • It is standards that allow us to establish resourcesharing arrangements dynamically with any interested party and thus to create something more than a plethora of balkanized, incompatible, noninteroperable distributed systems. Standards are also important as a means of enabling generalpurpose services and tools.

The Grid Architecture

• Fabric Layer ： The resources which are actually going to be shared in our Grid system, such as individual computers, clusters, supercomputers, network storage, DB, etc.

• Connectivity Layer ： All the protocols that will allow our resources to communicate, such as TCP/IP, HTTP, DNS, etc.

• Resource Layer ： All the services and protocols that enable us to manage resources individually, such as initiating, monitoring, accounting resources. In particular, there are two primary classes of protocols in this layer: Information protocols & Management protocols

Collective Layer ： The services and protocols that deal with managing multiple resources. The following is just a sample of the type of services commonly found in this layer: Resource registries 、 Allocation and scheduling services 、 Monitoring services 、 Data management services.

Application Layer ： Actual applications that will be running on a Grid system.

OGSA • Briefly, OGSA (Open Grid Services Architecture ) is a distributed interaction and computing architecture based around services, assuring interoperability on heterogeneous systems so that different types of resources can communicate and share information. • A typical grid system could have: VO Management Service 、 Resource Discovery & Management Service 、 Job Management Service, etc.

WSRF and GT4 • WSRF ( Web Services Resource Framework ) provides a set of operations that web services may implement to become stateful; web service clients communicate with resource services which allow data to be stored and retrieved. • GT4 ( Globus Toolkit 4 ) is a software toolkit, developed by The Globus Alliance, which we can use to create Grid systems.

GT4 Components • Common Runtime •

Provide a set of fundamental libraries and tools which are needed to build both WS and non-WS services.

• Security •

Based on the Grid Security Infrastructure (GSI), we can make sure that our communications are secure.

• Data management •

Allow us to manage large sets of data in our virtual organization.

• Information services •

Refer to as the Monitoring and Discovery Services (MDS), includes a set of components to discover and monitor resources in a virtual organization.

• Execution management •

Deal with the initiation, monitoring, management, scheduling and coordination of executable programs, usually called jobs, in a Grid.

Relationship

Layered diagram

Summary 1/2 • Storage is a key fabric component of Grid Computing, and must be provisioned with adequate service quality levels and data and storage management. • Good integration is also required between the Distributed and Intra-cluster Storage areas.

Summary 2/2 • Grid computing is the next generation model for enterprise computing based on the core tenets of virtualization and provisioning of every resource in IT. • Grid computing delivers benefits of increased utilization and greater flexibility for infrastructure, applications, and information resources.