Dynamic Provisioning of Service Composition in a Multi-Tenant SaaS Environment

Sellami, Wael; Kacem, Hatem Hadj; Kacem, Ahmed Hadj

doi:10.1007/s10922-019-09510-2

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…The constraints ( 5)- (7) indicates the scheduling of containers into the server to meet the user requests in every dimension.…”

Section: Constraintsmentioning

confidence: 99%

“…This model is widely adopted for business processes in cloud. It can be combined with elasticity feature of the cloud to perform the required computations and to support the variations in the workloads dynamically 7 . The resources in multi‐tenant cloud are shared among all the customers and multi‐tenancy ensures efficient utilization of shared resources 8 .…”

Section: Introductionmentioning

confidence: 99%

“…It can be combined with elasticity feature of the cloud to perform the required computations and to support the variations in the workloads dynamically. 7 The resources in multi-tenant cloud are shared among all the customers and multi-tenancy ensures efficient utilization of shared resources. 8 This paves way for the elastic business process management software (BPMS) in multi-tenant cloud.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Saif¹,

Aradhya²,

Murshed

et al. 2023

Concurrency and Computation

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Cloud multi-tenancy has a variant requirement, due to its resource sharing nature, satisfying such requirements and maintaining a balance between the resources and the business workloads of multiple tenants is a challenging task, and also the communication between scheduled containers leads to high power consumption. To address these issues, this article proposes an autonomic approach to ensure the elasticity of BPM in multi-tenant cloud. Where it employs the autonomic computing capabilities for scheduling the containers into the available servers then regulates the communication between the containers using multi-path routing. For the container scheduling, a multi-objective crow search optimization algorithm is proposed to schedule the containers into appropriate servers. Then, the discrete wolf search algorithm based multipath routing is proposed to route the communication flows between the containers by finding the optimal path with an objective to minimize the energy consumption.The optimal path is constructed as a multi-tenancy graph with bandwidths determining the shortest distance between the servers and containers. The overall simulations shows that the proposed algorithm outperformed the other compared approaches in terms of make-span, resource utilization, execution cost, execution time, and energy consumption.

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“…The constraints ( 5)- (7) indicates the scheduling of containers into the server to meet the user requests in every dimension.…”

Section: Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Saif¹,

Aradhya²,

Murshed

et al. 2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…In contrast, a different instance of a single tenant application is created for each user or tenant; thereby increasing the service cost as well as the maintenance cost for the tenants and the providers respectively. Consequently, sharing of resources in multi-tenancy leads to lowered cost for all [ 1 , 2 ]. Despite this advantage, a multitenant architecture faces a challenge related to data security.…”

Section: Introductionmentioning

confidence: 99%

Tamper-proof multitenant data storage using blockchain

Sharma

Kaur

2022

Peer-to-Peer Netw. Appl.

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Technologies like Internet of Things (IoT), cloud, artificial intelligence, blockchain etc. have become a perceptible part of our lives resulting in the generation of enormous amounts of data. Consequently, the systems used for storage and processing of this data are required to be scalable for handling the huge volumes of data. A shared, multitenant system such as a cloud-based storage-as-a-service provides scalability of storage as well as economics of sharing. However, there is a risk of data tampering when multiple tenants work in a shared environment. The benefits of a multitenant solution can be leveraged only if tenants’ data is isolated from each other. Further, prevention of data tampering from malicious tenant nodes is also required. Therefore, the paper proposes the use of a private blockchain for an implementation of a multi-tenant-based storage system. The objective is to develop a scalable system where tenants’ data is not at a risk of tampering. The efficacy of the proposed system has been demonstrated with synthetic data of multiple tenants using a Software as a Service (SaaS) healthcare application.

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“…In case of SaaS model, multi-tenant architecture can be a cost-effective choice over a single-tenant architecture for building scalable applications. Further, a multi-tenant architecture can be used to build scalable storage systems for shared access to resources [ 6 ]. Multitenancy can effectively reduce the redundant data of each system by avoiding storage of duplicate data and it also avoids data inconsistency.…”

Section: Introductionmentioning

confidence: 99%

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

Sharma

Kaur

2021

Arab J Sci Eng

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Enormous amounts of unstructured data such as images, videos, emails, sensors’ data and documents of multiple types are being generated daily by varied applications. Apart from the challenges related to collection or processing of this data, its efficient storage is also a significant challenge since this data do not conform to any predefined storage model. Therefore, any enterprise dealing with huge unstructured data requires a scalable storage system that can provide data durability and availability at a low cost. The paper proposes a tenant-centric approach to develop an object-based software defined storage system for SaaS multi-tenant applications. We present TOSDS (Tenant-centric Object-based Software Defined Storage), a system that can efficiently meet the storage requirements of users or tenants with diverse needs who are using a multitenant SaaS application. The experimental verification of TOSDS illustrates its effectiveness in storage utilization as well as tenant isolation.

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Dynamic Provisioning of Service Composition in a Multi-Tenant SaaS Environment

Cited by 9 publications

References 8 publications

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Multi‐objective container scheduling and multi‐path routing for elastic business process management in autonomic multi‐tenant cloud

Tamper-proof multitenant data storage using blockchain

TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

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