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Service Composition Performance Optimization Techniques in .NET Creator Code128 in .NET Service Composition Performance Optimization Techniques




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19.3 Service Composition Performance Optimization Techniques use .net barcode code 128 integration tomake barcode standards 128 for .net Bar code to 2D Code Service Abstraction (696). no impact, optimization inside the service no impact, MEP does not alter abstraction Standardized Service visual .net ANSI/AIM Code 128 Contract (693). Avoiding Transformat ions no impact, optimization inside the service no impact, contracts can express asynchronous patterns. Service Loose Coupling (695). no impact, optimization inside the service Asynchronous Message Exchange possible impact, asy nchronous service interfaces can lead to looser coupling no impact, implementation detail does not change coupling characteristic no impact, implementation detail does not change coupling characteristic no impact, implementation detail does not change coupling characteristic possible impact, reduced, co hosting increases coupling between service and composition/no impact between composition and consumer. Parallel Task Execut code 128c for .NET ion (WF Parallel Activity) Parallel Task Execution (WF Replicator). no impact, implement ation detail does not change contract definition no impact, implementation detail does not change contract definition no impact, implementation detail does not change contract definition possible impact, WF workflows do not require formal contract definition when called internally/BTS orchestrations expose typed interfaces, but do not require WSDL contracts when called internally no impact, implementation detail only. implementation detail does not change abstraction implementation detail does not change abstraction Parallel Task Execut code 128 barcode for .NET ion (BizTalk Server). implementation detai l does not change abstraction possible impact, contracts for co-hosted services do not need platform agnostic abstractions. Co-Hosting Aggregate High Performance Services reduced when service VS .NET code 128a s optimize implementation and choose higher performing, proprietary transport or message format. no impact, implementation detail only Table 19.8 Performan Code128 for .NET ce optimization techniques impact on the three service-orientation principles focused primarily on the service contract design.

. Service Reusability (697). Avoiding Transformations no impact, optimization inside the service 19: Service Performance Optimization Service Autonomy (699). no impact, optimization inside the service Service Statelessness (700). no impact, transformations only affect transient flow Service Composability (704). possible positive im pact, Canonical Schema [718] can increase composability no impact, MEP does not alter composability. Asynchronous Message Exchange possible impact, asy nchronous contracts may be more reusable no impact, implementation detail does not change reusability no impact, implementation detail does not change reusability no impact, implementation detail does not change reusability. no impact, message exchange pattern does not alter autonomy possible impact, ser vice may require maintaining state between asynchronous request and responses implementation detail does not change state requirements. Parallel Task Execut VS .NET Code 128 Code Set B ion (WF Parallel Activity). no impact, implement ation detail does not change autonomy no impact, implementation detail does not change autonomy no impact, implementation detail does not change autonomy. implementation detail does not change composability Parallel Task Execut ion (WF Replicator). implementation detail does not change state requirements implementation detail does not change composability Parallel Task Execut code 128c for .NET ion (BizTalk Server). implementation detail does not change state requirements implementation detail does not change composability 19.3 Service Composition Performance Optimization Techniques Service Composability (704). possible impact, co- hosted services are only reusable when they are accessible via Dual Protocol [739]. Service Reusability (697). Co-Hosting possible impact, cohosted services are only reusable when they are accessible via Dual Protocol [739]. Service Autonomy (699). possible impact, red uced, co-hosting the composition and the service(s) introduces dependencies on the same hardware possible impact if co-hosting is the strategy for achieving high performance. Service Statelessness (700). no impact, co-hosting model does not change state requirement Aggregate High Performance Services no impact, implementation detail only no impact, implementation detail only no impact, implementation detail only Table 19.9 Performan Code128 for .NET ce optimization techniques impact on service-orientation principles focused on the service implementation, behavior, and service contract design.

. SUMMARY OF KEY POINTS Compositions face barcode standards 128 for .NET significant performance challenges when aggregating remote services. Asynchronous messaging and parallelism avoid costly idle time.

Performance of aggregated services greatly impacts performance of service compositions. Message transformations are costly and can be avoided by applying the Canonical Schema [718] pattern and the Standardized Service Contract (693) principle..

This page intentionally left blank 20 . SOA Metrics with BAM 20.1 SOA Metric Type code-128c for .NET s 20.

2 Introducing BizTalk BAM 20.3 Activities and Views 20.4 BAM APIs 20.

5 Managing BAM. etrics collection fo r services and service-oriented solutions are often overlooked in the absence of a proper governance plan. Project teams sometimes get lost in the rush to get services deployed, and it is only later that questions start being asked about how exactly these services are being utilized. This chapter is specifically focused on the metrics collection features provided by the BizTalk Server Business Activity Monitoring (BAM) mechanism and how these features pertain to metrics for individual and composed services and their surrounding infrastructure.

. 20.1 SOA Metric Types Within a service-ori ented enterprise, metrics can be collected at different levels. Specifically, common metric types correspond to SOA types as follows: infrastructure metrics (apply to service inventory architecture) service metrics (apply to service architecture) business metrics (apply to service composition architecture) Infrastructure metrics are all about server health in that they are concerned with monitoring the operation and CPU usage of a server. These kinds of statistics are typically provided by tools like Microsoft s System Center or Microsoft Operations Manager (MOM).

MOM enables the monitoring of specific performance counters, and, among other things, allows for previously-scripted corrective actions to be invoked once certain events (such as a server outage) have occurred. Because this relates more to standard server administration, we do not explore infrastructure metrics in this chapter. Service metrics is all about instrumenting the individual services in a given service inventory.

The kinds of metrics that may be gathered here can include service latency, method invocation quantity, and quantity of exceptions. Depending on the toolset and the environment, there may be some cross-over with governance tools that require service metrics in order to determine service level agreement (SLA) compliance..

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