QoS Dependency Modeling for Composite Systems

Hashmi, Khayyam; Malik, Zaki; Erradi, Abdelkarim; Rezgui, Abdelmounaam

doi:10.1109/tsc.2016.2589244

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…A SOA modeling and design grounded on the notion of service component and standard UML modeling constructs [2] that provide the interface of a service component works better than the list of operation signatures to stipulate the complete contract between the service provider and consumer. The Web services outsourcing manager framework for dynamic business processes uses an XML-based annotation document is suggested to seize the business requirements and used to dynamically produce quest scripts for a progressive Web services discovery engine to catch Web services from UDDI registries and Web service inspection language documents [3,4]. Service selection in dynamic environment is the treatment of techniques in choosing and offering Quality of Services (QoS) to consumers.…”

Section: Related Workmentioning

confidence: 99%

Service selection in service oriented architecture using probabilistic approach and asynchronous queues with interceptor validation

Chelliah¹,

Sathish²,

Subalakshmi³

2020

IJECE

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In service Oriented Architecture, many services are offered with similar functionality but with different service quality parameters. Thus the service selection using a deterministic approach causes conflicts and inefficient results. We use asynchronous queue to model the service inventory architecture avoiding unnecessary locking of resources and thus allowing a provision to consumers to get their required services without intervening and with temporally decoupled fashion. Actually this kind of service selection strategy is considered in regards with game theory to eliminate fluctuations of queue length. It offers a discrete random service which is equal to some request requested by consumers, it means service can be provided based on probability mass function as a substitute of deterministic decisions for selecting a proper service provider as of the consumers. Once the request is taken out from the queue, it is delivered to the interceptor that has validation and sanitization module. It thus reduces the peak queue length and reduces periodic fluctuations in the queue length.

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Section: Related Workmentioning

confidence: 99%

Service selection in service oriented architecture using probabilistic approach and asynchronous queues with interceptor validation

Chelliah¹,

Sathish²,

Subalakshmi³

2020

IJECE

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“…Data processing systems have emerged as a popular tool for organizations, enabling the transformation of extensive datasets into valuable and actionable information 1 . These systems play a pivotal role in facilitating data analysis processes across diverse domains, including scientific, business, and healthcare, among others 2,3 …”

Section: Introductionmentioning

confidence: 99%

“…1 These systems play a pivotal role in facilitating data analysis processes across diverse domains, including scientific, business, and healthcare, among others. 2,3 In these domains, large volumes of data (e.g., tomography images, healthcare registers, satellite images) are processed by multiple-stage systems that interconnect different applications (i.e., pipelines, workflows, patterns, etc. ), where the Abbreviation: RIV, reliability and integrity verification.…”

mentioning

confidence: 99%

Kulla‐RIV: A composing model with integrity verification for efficient and reliable data processing services

Reyes‐Anastacio,

Gonzalez‐Compeán,

Sosa‐Sosa

et al. 2024

Softw Pract Exp

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This article presents the design and implementation of a reliable computing virtual container‐based model with integrity verification for data processing strategies named the reliability and integrity verification (RIV) scheme. It has been integrated into a system construction model as well as existing workflow engines (e.g., Kulla and Makeflow) for composing in‐memory systems. In the RIV scheme, the reliability (R) component is in charge of providing an implicit fault tolerance mechanism for the processes of data acquisition and storage that take place in a data processing system. The integrity verification (IV) component is in charge of ensuring that data transmitted/received between two processing stages are correct and are not modified during the transmission process. To show the feasibility of using the RIV scheme, real‐world applications were created by using different distributed and parallel systems to solve use cases of satellite and medical imagery processing. This evaluation revealed encouraging results as some solutions that assumed the cost (overhead) of using the RIV scheme, for example, Kulla (the Kulla‐RIV solution), achieve better response times than others without the RIV scheme (e.g., Makeflow) that remain exposed to the risks caused by to the lack of RIV strategies.

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“…The infrastructure is allowed to control and manage by the users with programming [68]. This helps the application providers (APs) to deploy the applications in a cloud environment with the quality of service (QoS) and cost efficient [32,35]. The web applications workload is dynamic which is characterized by flash-workload and time-varying traffic.…”

Section: Introductionmentioning

confidence: 99%

RHAS: robust hybrid auto-scaling for web applications in cloud computing

et al. 2020

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The elasticity characteristic of cloud services attracts application providers to deploy applications in a cloud environment. The scalability feature of cloud computing gives the facility to application providers to dynamically provision the computing power and storage capacity from cloud data centers. The consolidation of services to few active servers can enhance the service sustainability and reduce the operational cost. The state-of-art algorithms mostly focus either on reactive or proactive auto-scaling techniques. In this article, a Robust Hybrid Auto-Scaler (RHAS) is presented for web applications. The time series forecasting model has been used to predict the future incoming workload. The reactive approach is used to deal with the current

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QoS Dependency Modeling for Composite Systems

Cited by 8 publications

References 33 publications

Service selection in service oriented architecture using probabilistic approach and asynchronous queues with interceptor validation

Service selection in service oriented architecture using probabilistic approach and asynchronous queues with interceptor validation

Kulla‐RIV: A composing model with integrity verification for efficient and reliable data processing services

RHAS: robust hybrid auto-scaling for web applications in cloud computing

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