Editing Orchestration (computing) (section)

==Usage==
Orchestration is often discussed in the context of [[service-oriented architecture]], [[platform virtualization|virtualization]], [[provisioning (technology)|provisioning]], [[converged Infrastructure|converged infrastructure]] and dynamic [[datacenter|data center]] topics. Orchestration in this sense is about aligning the business request with the applications, data, and infrastructure.<ref>{{Cite book |last1=Menychtas |first1=Andreas |last2=Gatzioura |first2=Anna |last3=Varvarigou |first3=Theodora |chapter=A Business Resolution Engine for Cloud Marketplaces |series=IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom) |date=2011 |pages=462–469 |publisher=[[IEEE]] |doi=10.1109/CloudCom.2011.68 |title=2011 IEEE Third International Conference on Cloud Computing Technology and Science |isbn=978-1-4673-0090-2 |s2cid=14985590}}</ref>

In the context of [[cloud computing]], the main difference between [[workflow automation]] and orchestration is that workflows are processed and completed as processes within a single domain for automation purposes, whereas orchestration includes a workflow and provides a directed action towards larger goals and objectives.<ref name="Erl" />

In this context, and with the overall aim to achieve specific goals and objectives (described through the [[quality of service]] parameters), for example, meet application performance goals using minimized cost<ref name="sc2011workflow">{{cite book|last=Mao|first=Ming|author2=M. Humphrey|title=Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis |chapter=Auto-scaling to minimize cost and meet application deadlines in cloud workflows |date=2011 |pages=1–12 |doi=10.1145/2063384.2063449|isbn=978-1-4503-0771-0|s2cid=11960822}}</ref> and maximize application performance within budget constraints,<ref name="ipdps2013scaling">{{cite book|last=Mao|first=Ming|author2=M. Humphrey|title=2013 IEEE 27th International Symposium on Parallel and Distributed Processing |chapter=Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows |date=2013|url=http://dl.acm.org/citation.cfm?id=2511429|doi=10.1109/IPDPS.2013.61|isbn=978-0-7695-4971-2|pages=67–78|s2cid=5226147}}</ref> cloud management solutions also encompass frameworks for workflow mapping and management.