Decentralized Enactment of BPEL Processes

Pantazoglou, Michael; Pogkas, Ioannis; Tsalgatidou, Aphrodite

doi:10.1109/tsc.2013.6

Cited by 18 publications

(15 citation statements)

References 19 publications

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“…Orchestration defines explicit workflow control flow structures to coordinate the invocation of service operations exogenously and, like dataflows, it can be centralised or distributed. A centralised orchestration [72,136,137,138] has full control over all the services composed, whereas a distributed approach (also known as "decentralised orchestration" [139,140,141,142,143,144,145,146,147,148]) defines sub-workflows for a collaborative exchange of workflow control flow over the network. Although orchestration is not as popular as dataflows, there are some implementations available for this mechanism to support the definition of control-driven IoT workflows [149,150,151].…”

Section: Related Workmentioning

confidence: 99%

“…This negatively impacts QoS by increasing the response time, and leads to network congestion [34,141,142,190,195], especially when there are plenty of IoT services exchanging huge amounts of data continuously [24,25,187,190,196]. To avoid a single bottleneck, the distributed approach [133,139,140,141,142,143,144,146] removes the central composite and distributes the load of data over multiple composites (see Figure 10(b)). Although this improves load balancing, it introduces unnecessary network overhead as data passes through many mediators, even if data is unimportant for them, i.e., the more mediators, the more network overhead.…”

Section: Decentralised Data Flowsmentioning

confidence: 99%

“…It explicitly defines workflow control flow to coordinate the invocation of service operations, in order to realise some complex function that cannot be achieved by any individual service [69,70,229]. In a distributed orchestration, also known as "decentralised orchestration" [139,140,141,142,143,144,145,146,147,148], multiple coordinators collaboratively define workflow control flow.…”

Section: Orchestrationmentioning

confidence: 99%

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Evaluating IoT service composition mechanisms for the scalability of IoT systems

Arellanes

Lau

2020

Future Generation Computer Systems

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The Internet of Things (IoT) is an emerging paradigm where practically every (physical and virtual) thing will be interconnected through innovative distributed services. Since the number of connected things is rapidly growing, IoT systems will require the composition of plenty of services into complex workflows. Thus, scalability in terms of the size of IoT systems becomes a significant concern. In this paper, we review and evaluate the fundamental semantics of existing IoT service composition mechanisms to determine how well they fulfil the scalability requirements of IoT systems. We identify scalability desiderata and, accordingly, our findings show that dataflows, orchestration and choreography do not fully satisfy such desiderata, unlike a novel composition mechanism called DX-MAN.

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Section: Related Workmentioning

confidence: 99%

Section: Decentralised Data Flowsmentioning

confidence: 99%

Section: Orchestrationmentioning

confidence: 99%

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Evaluating IoT service composition mechanisms for the scalability of IoT systems

Arellanes

Lau

2020

Future Generation Computer Systems

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“…Another progress is to explore browser-kernel-level extensions to enable data exchange and communication between MUIT Web applications with other native apps. Supporting orchestration of these distributed mobile users and their screens [27] and avoiding potential crossorganization security [36] are also worth investigating to meet the BYOD requirements for enterprise.…”

Section: Conclusion and Future Outlookmentioning

confidence: 99%

MUIT: A Domain-Specific Language and its Middleware for Adaptive Mobile Web-Based User Interfaces in WS-BPEL

Liu

Teng

et al. 2019

IEEE Trans. Serv. Comput.

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In enterprise organizations, the Bring-Your-Own-Device (BYOD) requirement has become prevalent as employees use their own mobile devices to process the workflow-oriented tasks. Consequently, it calls for approaches that can quickly develop and integrate mobile user interactions into existing business processes, and adapt to various contexts. However, designing, developing and deploying adaptive and mobile-oriented user interfaces for existing process engines are non-trivial, and require significant systematic efforts. To address this issue, we present a novel middleware-based approach, called MUIT, to developing and deploying the Mobility, User Interactions and Tasks into WS-BPEL engines. MUIT can be seamlessly into WS-BPEL without intrusions of existing process instances. MUIT provides a Domain-Specific Language (DSL) that provides some intuitive APIs to support the declarative development of adaptive, mobile-oriented, and Web-based user interfaces in WS-BPEL. The DSL can significantly improve the development of user interactions by preventing arbitrarily mixed codes, and its runtime supports satisfactory user experiences. We implement a proofof-concept prototype by integrating MUIT into the commodity WS-BPEL-based Apusic Platform, and evaluate the performance and usability of MUIT platform. His research interests are in the area of services computing, mobile computing, webbased systems, and big data analytic. For more information, please visit his webpage via

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“…Compared to it, service components that are derived by our methods have no responsibilities for partitioning the process and delivering process information. Another example is the work that presented a distributed architecture based on the hypercube P2P topology along with a set of algorithms that enable the decentralized execution of BPEL processes . Their approaches depend on a special topology of system, whereas our methods are not subject to any dedicated topology of system.…”

Section: Related Workmentioning

confidence: 99%

A process partitioning technique for constructing decentralized web service compositions

Xue

Liu

et al. 2019

Softw Pract Exp

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Web service compositions have been widely applied in different applications. A service composition is usually implemented in either a centralized or decentralized manner. Compared with the centralized service composition, the decentralized composition has no central control component, and components interact with each other directly, thereby achieving better performance. Process partitioning is a technique to divide a process into multiple parts and has been shown that it can be successfully applied to decentralizing process-driven service compositions. This paper proposes a new process partitioning technique for constructing decentralized service compositions. The proposed technique, which is based on typed digraphs and a graph transformation technique, is used for exploring available process partitioning solutions. For applications, this paper discusses the topology and interaction features about the partitioning solutions and summarizes a ranking method for them. Three experiments are conducted to evaluate the proposed methods in this paper. Experimental results show that the proposed methods can be applied in constructing decentralized service compositions effectively. In addition, the results also show that the decentralized compositions can have lower average response times and higher throughputs than the corresponding centralized compositions in the experiments. KEYWORDS decentralized web service compositions, process partitioning, QoS, web service compositions wileyonlinelibrary.com/journal/spe

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Decentralized Enactment of BPEL Processes

Cited by 18 publications

References 19 publications

Evaluating IoT service composition mechanisms for the scalability of IoT systems

Evaluating IoT service composition mechanisms for the scalability of IoT systems

MUIT: A Domain-Specific Language and its Middleware for Adaptive Mobile Web-Based User Interfaces in WS-BPEL

A process partitioning technique for constructing decentralized web service compositions

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