BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments

Herbst, Nikolas; Kounev, Samuel; Weber, Andreas; Groenda, Henning

doi:10.1109/seams.2015.23

Cited by 44 publications

(36 citation statements)

References 16 publications

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“…Performances of databases running in virtualized environments can be also measured using the TPC-VMS suite [62], while TPCx-HS [63] and TPCx-BB [64] can be used to benchmark Hadoop run-time, Hadoop Filesystem API compatible systems, and MapReduce layers. As regards elasticity, BUNGEE [65] is a tool for benchmarking the elasticity of IaaS cloud services.…”

Section: Qos Monitoringmentioning

confidence: 99%

Research challenges in legal-rule and QoS-aware cloud service brokerage

Casalicchio

Cardellini

Interino

et al. 2018

Future Generation Computer Systems

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The ICT industry and specifically critical sectors, such as healthcare, transportation, energy and government, require as mandatory the compliance of ICT systems and services with legislation and regulation, as well as with standards. In the era of cloud computing, this compliance management issue is exacerbated by the distributed nature of the system and by the limited control that customers have on the services. Today, the cloud industry is aware of this problem (as evidenced by the compliance program of many cloud service providers), and the research community is addressing the many facets of the legal-rule compliance checking and quality assurance problem.\ud \ud Cloud service brokerage plays an important role in legislation compliance and QoS management of cloud services. In this paper we discuss our experience in designing a legal-rule and QoS-aware cloud service broker, and we explore relate research issues. Specifically we provide three main contributions to the literature: first, we describe the detailed design architecture of the legal-rule and QoS-aware broker. Second, we discuss our design choices which rely on the state of the art solutions available in literature. We cover four main research areas: cloud broker service deployment, seamless cloud service migration, cloud service monitoring, and legal rule compliance checking. Finally, from the literature review in these research areas, we identify and discuss research challenges

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Section: Qos Monitoringmentioning

confidence: 99%

Research challenges in legal-rule and QoS-aware cloud service brokerage

Casalicchio

Cardellini

Interino

et al. 2018

Future Generation Computer Systems

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“…In this context, CPU load in percentage refers to the most used metric particularly pertinent for CPU scavating applications. 29,32,33 Thus, Brokel Manager monitors CPU load of each VM periodically and computes the load for each level. If resource reorganization is necessary, the Manager proceeds elasticity actions using the cloud API.…”

Section: Elasticity Decisionsmentioning

confidence: 99%

Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers

Rodrigues

Wendt

Righi

et al. 2017

International Journal of Distributed Sensor Networks

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Internet of Things networks together with the data that flow between networked smart devices are growing at unprecedented rates. Often brokers, or intermediaries nodes, combined with the publish/subscribe communication model represent one of the most used strategies to enable Internet of Things applications. At scalability viewpoint, cloud computing and its main feature named resource elasticity appear as an alternative to solve the use of over-provisioned clusters, which normally present a fixed number of resources. However, we perceive that today the elasticity and Pub/ Sub duet presents several limitations, mainly related to application rewrite, single cloud elasticity limited to one level and false-positive resource reorganization actions. Aiming at bypassing the aforesaid problems, this article proposes Brokel, a multi-level elasticity model for Pub/Sub brokers. Users, things, and applications use Brokel as a centralized messaging service broker, but in the back-end the middleware provides better performance and cost (used resources 3 performance) on message delivery using virtual machine (VM) replication. Our scientific contribution regards the multi-level, orchestrator, and broker, and the addition of a geolocation domain name system service to define the most suitable entry point in the Pub/Sub architecture. Different execution scenarios and metrics were employed to evaluate a Brokel prototype using VMs that encapsulate the functionalities of Mosquitto and RabbitMQ brokers. The obtained results were encouraging in terms of application time, message throughput, and cost (application time 3 resource usage) when comparing elastic and non-elastic executions.

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“…Finally, in [13] a set of time-related and accuracy-related metrics is proposed to characterize the elasticity of a self-adaptive platform in an IaaS context. Specifically, an aggregated elastic speedup is defined based on accuracy, timeshare and jitter.…”

Section: Related Workmentioning

confidence: 99%

“…There are some interesting works trying to propose elasticity benchmarks based on the available metrics in some specific contexts, mainly, these benchmarks focus on assessing the performance of scaling solutions in IaaS environments [4], [6], [9], [13]. Although scaling and provisioning solutions are important elasticity enablers, they are not the only.…”

Section: Related Workmentioning

confidence: 99%

BECloud: A new approach to analyse elasticity enablers of cloud services

Beltrán

2016

Future Generation Computer Systems

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BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments

Cited by 44 publications

References 16 publications

Research challenges in legal-rule and QoS-aware cloud service brokerage

Research challenges in legal-rule and QoS-aware cloud service brokerage

Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers

BECloud: A new approach to analyse elasticity enablers of cloud services

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