Performance-efficient service deployment and scheduling methods for composite cloud services

Huang, Kuo-Chan; Lu, Yi-Chang; Tsai, Meng-Han; Wu, Ying-Jhih; Chang, Hsi-Ya

doi:10.1145/2996890.3007866

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…Both areas of Resource Allocation and Service Scheduling are the subject of the solution proposed by Huang et al in [15]. Resource allocation starts with generating Service Relationship Graph based on business processes.…”

Section: A Resource Allocation Methodsmentioning

confidence: 99%

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Górski

Woźniak

2021

IEEE Access

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Web services have become a standard way to provide functions of information systems. The number of web services grows rapidly with the increasing popularity of microservices architecture. In consequence, many business processes are executed entirely through web services. Therefore, optimizing the performance of business process execution may bring many benefits. There are many optimization methods in this area. Our systematic literature review aims to introduce available methods to researchers interested in the optimization of business process execution. We queried four databases: ACM, IEEE Xplore, Science Direct, and Springer. Out of 12150 initially found papers, we have selected 128 for the review. We have grouped methods presented in those papers into three stages of business process optimization: Resource Allocation, Service Composition, and Service Scheduling. Service Composition attracts the largest group of researchers with a vast majority of 119 articles in it. Moreover, the most popular are genetic algorithms. In general, researchers mainly propose heuristic methods that optimize business processes during run-time. We see the potential for further exploration at both Resource Allocation and Service Scheduling stages.

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Section: A Resource Allocation Methodsmentioning

confidence: 99%

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Górski

Woźniak

2021

IEEE Access

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“…In Huang, the authors concentrated in how to balance the workload of the incoming requests. The proposed load‐aware module rearranges the components of the already placed services based on the available virtual machines.…”

Section: Related Workmentioning

confidence: 99%

Security‐aware SaaS placement using swarm intelligence

Mezni

Sellami

Kouki³

2018

J Software Evolu Process

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Cloud computing has emerged as a new powerful service delivery model to cope with resource challenges and to offer various on-demand services (eg, software, storage, network, etc.). Software as a Service (SaaS) is one of the most popular service models. To meet the increasing demands of users, SaaS can be offered in a composite form. Although this approach offers some advantages like flexibility and reusability, it raises a question about how to manage composite SaaS in the distributed and the highly dynamic cloud environment. In this paper, we address one of the major SaaS resource management issues referred to as SaaS placement problem. As existing efforts only focus on SaaS placement problem from the perspective of resources utilization to optimize SaaS performance and minimize resource usage, in this paper, we also incorporate security concerns in SaaS placement strategy. In fact, security risk is one of the major factors influencing the efficiency of the composite SaaS. We adopt a multi-swarm variant of particle swarm optimization to propose a security-aware SaaS placement method. Also, a cooperative learning strategy is hybridized to the placement algorithm, which makes information of best candidate servers be used more effectively to generate better placement plan. Experiments show that our solution outperforms existing SaaS placement approaches.

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A Survey of Service Placement in Cloud Environments

Hedhli¹,

Mezni

2021

J Grid Computing

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Performance-efficient service deployment and scheduling methods for composite cloud services

Cited by 11 publications

References 17 publications

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Optimization of Business Process Execution in Services Architecture: A Systematic Literature Review

Security‐aware SaaS placement using swarm intelligence

A Survey of Service Placement in Cloud Environments

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