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To do this, we propose an architecture that end users without programming skills can use to create front-ends, consult catalogues of resources tailored to their needs, easily integrate and coordinate front-ends and create composite applications to orchestrate services in their back-end.
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The Service-Oriented Architecture (SOA) [3] approach promotes the creation of highly accessible, loosely coupled, business-oriented services, as well as end-to-end, fully orchestrated services using such standards as the Business Process Execution Language (BPEL) [4].
The use of workflows for orchestrating services and jobs within complex execution scenarios is becoming established in e-science research, but lack of interoperability between different workflow systems makes the reuse of workflows difficult, impeding the pace of adoption in academia and industry [5].
When the goal is speed of implementation, the Apigee platform, with support for Java, Node.js, and Python, is perfectly suitable for orchestrating services and mashing up content.
This is done using data-plane mechanisms including data-plane proxying (virtualizing the service endpoint) and Layer 7 (L7) traffic steering (dynamically mapping service requests to different application servers and orchestrating service composition and chaining).
This paper focuses on how to orchestrate Web services for implementing asynchronous geospatial processing workflows.
Building out via XMPP from the Gmail hub is allowing users to orchestrate realtime services into a consumable stream and reliable archives available cross-client.
Those who dismiss this SocMedBS should note that even without Mesh or a Silverlight installed base of sufficient size or a Twitter that can scale at the affinity level, we are already able to orchestrate multiple services at an adhoc level with tangible results.
We define what it means for an asynchronous relational net to orchestrate a service interface and prove a number of compositionality results that relate the operations of both algebras.
Then, we use a BPEL-based process engine--JOpera with REST extension to orchestrate the Device service, PHR service, and PAS service into a Monitoring process which handles a more complex service.
It particularly develops a distributed transactional management support in order to orchestrate loosely coupled services into cohesive units of work and guarantee consistent and reliable execution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com