An Infrastructure for Grid Application Monitoring

Baliś, Bartosz; Bubak, Marian; Funika, Wodzimierz; Szepieniec, Tomasz; Wismüller, Roland

doi:10.1007/3-540-45825-5_16

Cited by 24 publications

(8 citation statements)

References 9 publications

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“…these ones which enable dynamic addition of a new tool type allowing the developer to describe the monitoring tool type in an external XML file. The next step in further research is to extend JINEXT to be compatible with OCM-G [8]. Providing the interoperability of monitoring tools working in a grid environment is necessary if we want to allow more than a single user to work on the same target object from within different nodes or sites.…”

Section: Discussionmentioning

confidence: 99%

Providing Interoperability for Java-Oriented Monitoring Tools with JINEXT

Funika

Janik

2005

Lecture Notes in Computer Science

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Abstract. While Java is getting an increasingly widely used programming language, Java Virtual Machine has become an important platform for networking and distributed computing. Due to the increasing complexity of programs, the demand for monitoring tool support (debuggers, performance analyzers etc.) for efficient computing is growing as well.A special, open interface J-OMIS, which provides an efficient support for monitoring distributed Java programs, is derived from the On-line Monitoring Interface Specification (OMIS) that enables to use multiple monitoring tools simultaneously. OMIS has been developed with interoperability in mind but not all structural and logical conflicts have been solved. Addressing the missing aspects of interoperability support within J-OMIS is intended to increase the simplicity of developing the monitoring tools which will synergetically support each other. In the paper we present the concept of JINEXT, an extension to OMIS, which is aimed to provide interoperability between monitoring tools.

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Section: Discussionmentioning

confidence: 99%

Providing Interoperability for Java-Oriented Monitoring Tools with JINEXT

Funika

Janik

2005

Lecture Notes in Computer Science

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“…Balis et al [5] propose an infrastructure for Grid application monitoring. Their approach is based on OCM-G, which is a distributed monitoring system for obtaining information and manipulating applications running on the Grid.…”

Section: Related Workmentioning

confidence: 99%

CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Emeakaroha

Ferreto

Netto

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference

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Abstract-Cloud resources and services are offered based on Service Level Agreements (SLAs) that state usage terms and penalties in case of violations. Although, there is a large body of work in the area of SLA provisioning and monitoring at infrastructure and platform layers, SLAs are usually assumed to be guaranteed at the application layer. However, application monitoring is a challenging task due to monitored metrics of the platform or infrastructure layer that cannot be easily mapped to the required metrics at the application layer. Sophisticated SLA monitoring among those layers to avoid costly SLA penalties and maximize the provider profit is still an open research challenge. This paper proposes an application monitoring architecture named CASViD, which stands for Cloud Application SLA Violation Detection architecture. CASViD architecture monitors and detects SLA violations at the application layer, and includes tools for resource allocation, scheduling, and deployment. Different from most of the existing monitoring architectures, CASViD focuses on application level monitoring, which is relevant when multiple customers share the same resources in a Cloud environment. We evaluate our architecture in a real Cloud testbed using applications that exhibit heterogeneous behaviors in order to investigate the effective measurement intervals for efficient monitoring of different application types. The achieved results show that our architecture, with low intrusion level, is able to monitor, detect SLA violations, and suggest effective measurement intervals for various workloads.

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“…Several tools support performance analysis for Grid applications such as GRM [6], OCM-G [7]. Our tool differs from these tools in many aspects.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Instrumentation, Performance Monitoring and Analysis of Grid Scientific Workflows

2005

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While existing work concentrates on developing QoS models of business workflows and Web services, few tools have been developed to support the monitoring and performance analysis of scientific workflows in Grids. This paper describes novel Grid services for dynamic instrumentation of Grid-based applications, performance monitoring and analysis of Grid scientific workflows. We describe a Grid dynamic instrumentation service that provides a widely accessible interface for other services and users to conduct the dynamic instrumentation of Grid applications during the runtime. We introduce a Grid performance analysis service for Grid scientific workflows. The analysis service utilizes various types of data including workflow graphs, monitoring data of resources, execution status of activities, and performance measurements obtained from the dynamic instrumentation of invoked applications, and provides a rich set of functionalities and features to support the online monitoring and performance analysis of scientific workflows. Workflows and their relevant information including performance metrics are stored and utilized for comparing the performance of constructs of different workflows and for supporting multi-workflow analysis.

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An Infrastructure for Grid Application Monitoring

Cited by 24 publications

References 9 publications

Providing Interoperability for Java-Oriented Monitoring Tools with JINEXT

Providing Interoperability for Java-Oriented Monitoring Tools with JINEXT

CASViD: Application Level Monitoring for SLA Violation Detection in Clouds

Dynamic Instrumentation, Performance Monitoring and Analysis of Grid Scientific Workflows

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