Bringing Introspection Into the BlobSeer Data-Management System Using the MonALISA Distributed Monitoring Framework

Carpen-Amarie, Alexandra; Cai, Jun; Costan, Alexandru; Antoniu, Gabriel; Bougé, Luc

doi:10.1109/cisis.2010.37

Cited by 4 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, we discuss network management protocols and frameworks to investigate appropriate implementation mechanisms to deploy the description of the network environment on the testbed. [7,11] and PerfSONAR [29] are not capable of continuously monitoring the network and detect changes. OpenVAS [23] is used to identify vulnerabilities within an infrastructure but has limited scanning capabilities.…”

Section: Related Workmentioning

confidence: 99%

Achieving Reproducible Network Environments with INSALATA

Herold

Wachs

Dorfhuber

et al. 2017

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Analyzing network environments for security flaws and assessing new service and infrastructure configurations in general are dangerous and error-prone when done in operational networks. Therefore, cloning such networks into a dedicated test environment is beneficial for comprehensive testing and analysis without impacting the operational network. To automate this reproduction of a network environment in a physical or virtualized testbed, several key features are required: (a) a suitable network model to describe network environments, (b) an automated acquisition process to instantiate this model for the respective network environment, and (c) an automated setup process to deploy the instance to the testbed.With this work, we present INSALATA, an automated and extensible framework to reproduce physical or virtualized network environments in network testbeds. INSALATA employs a modular approach for data acquisition and deployment, resolves interdependencies in the setup process, and supports just-in-time reproduction of network environments. INSALATA is open source and available on Github. To highlight its applicability, we present a real world case study utilizing INSALATA.

show abstract

Section: Related Workmentioning

confidence: 99%

Achieving Reproducible Network Environments with INSALATA

Herold

Wachs

Dorfhuber

et al. 2017

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…In [14], we proposed an introspection architecture on top of BlobSeer, which generates and analyses BlobSeer-specific data obtained by monitoring the activity of each of its actors. It was designed to provide support for a self-adaptive behavior of the BlobSeer system, so as to improve its performance and data availability.…”

Section: A the Introspective Blobseermentioning

confidence: 99%

Managing Data Access on Clouds: A Generic Framework for Enforcing Security Policies

Băsescu

Carpen-Amarie

Leordeanu

et al. 2011

2011 IEEE International Conference on Advanced Information Networking and Applications

Self Cite

View full text Add to dashboard Cite

Abstract-Recently there has been a great need to provide an adequate security level in Cloud Environments, as they are vulnerable to various attacks. Malicious behaviors such as Denial of Service attacks, especially when targeting large-scale data management systems, cannot be detected by typical authentication mechanisms and are responsible for drastically degrading the overall performance of such systems. In this paper we propose a generic security management framework allowing providers of Cloud data management systems to define and enforce complex security policies. This security framework is designed to detect and stop a large array of attacks defined through an expressive policy description language and to be easily interfaced with various data management systems. We show that we can efficiently protect a data storage system, by evaluating our security framework on top of the BlobSeer data management platform. We evaluate the benefits of preventing a DoS attack targeted towards BlobSeer through experiments performed on the Grid'5000 testbed.

show abstract

“…In [9], we proposed a three-layered architecture on top of BlobSeer, which generates and analyses BlobSeer-specific data obtained by monitoring the activity of each of its actors. It is designed to identify and generate relevant information related to the state and the behavior of the system, which can be fed as input to various higherlevel self-* components.…”

Section: B Introspection Mechanisms For Blobseermentioning

confidence: 99%