An execution platform for event driven mashups

Stecca, Michele; Maresca, Massimo

doi:10.1145/1806338.1806354

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…Authors introduce refactoring targeted the code smells, reducing the complexity of the mashups and standardizing their structures to fit the community development patterns. A thread man agement strategy for server supporting the execution of event driven mashups is discussed in [5] [6]. They classify the Web APIs into three categories and designed three service proxy structures correspondingly, which can be used as a reference when implementing new basic mashable components.…”

Section: Related Workmentioning

confidence: 99%

Optimizing pipe-like mashup execution for improving resource utilization

Sun

Wang

et al. 2012

2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

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Mashup is usually created by end-users to provide new services by combining data or functionality from multiple sources on the Web. Given that a mashup may have millions of concurrent user access, it is essential to work out a framework to optimize the runtime engine hosting the running of a myriad of pipe-like mashups. According to our analysis, memory is the primary resource to run mash ups and we work out a metric named PMT to measure the memory consumption. A scheduling framework is then put forward consisting of mashup decomposition and a PMT-aware scheduling policy, which is named "lazy-start" designed to improve memory utilization. A set of experiments are performed to show the effectiveness and efficiency of this framework.

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Section: Related Workmentioning

confidence: 99%

Optimizing pipe-like mashup execution for improving resource utilization

Sun

Wang

et al. 2012

2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA)

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“…Table (RT) which is loaded into the Orchestrator. As soon as a SP notifies an event to the Orchestrator, the Orchestrator retrieves the next SP(s) to be invoked from the RT (for details see [11]). …”

Section: Platform As a Service Architecture Platform Componentsmentioning

confidence: 99%

A Cloud-based Platform for Enterprise Mashup Ecosystems

Stecca

Maresca

2011

2011 IEEE 13th Conference on Commerce and Enterprise Computing

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In the last years we witnessed a proliferation of the Web APIs (Application Programming Interfaces) provided by Web companies such as eBay, Amazon, Google, Yahoo, Facebook, Twitter, etc. in order to 'open' their platforms to 3rd party developers to increase revenues. These APIs can be combined together to create new value added services called Mashups. In this paper we propose a classification of some Mashup types and then we show through examples how they can be applied to different application domains. The paper also describes a platform for Mashup creation and execution according to the Platform as a Service -PaaS Cloud Computing paradigm. Finally we describe a 'Mashup Ecosystem' enabled by such a platform and inspired by the Apple Store case study.

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“…At run time the edges linking the different basics blocks are executed as sequences of component interactions. We refer to [6] for further details.…”

Section: B Server Side Mashup Platformmentioning

confidence: 99%

Mashup Patterns from Service Component Taxonomy

Stecca

Maresca

2010

2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops

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In this paper we focus on the structure and on the application of Server Side Mashups, that is of composite services executed and orchestrated in managed platforms. Unlike Client Side Mashups, which run in client platforms under direct user control, Server Side Mashups may run in background and do not require direct user control, thus enabling a set of applications which are not supported by Client Side Mashups. In particular we consider the case of Internet/Telco Server Side Mashups, that is of Server Side Mashups that combine services coming both from the Internet domain and from the telecom operator domain. We first propose a taxonomy for the services that may be combined to build Server Side Mashups. The taxonomy is based both on the functionality and on the type of user-service interaction of the services considered. Then we list some of the most relevant application environments in which Server Side Mashups can be profitably used thanks to the increasing number of available services, both over the telecom operator networks and over the Internet. Finally we propose a set of patterns to be used as a reference by Server Side Mashup developers. For each pattern we provide real life examples based on the experience gained during the OPUCE Project [1].

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An execution platform for event driven mashups

Cited by 9 publications

References 1 publication

Optimizing pipe-like mashup execution for improving resource utilization

Optimizing pipe-like mashup execution for improving resource utilization

A Cloud-based Platform for Enterprise Mashup Ecosystems

Mashup Patterns from Service Component Taxonomy

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