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A novel approach of a test environment for embedded networking nodes has been conceptualized and implemented. Its basis is the use of virtual nodes in a PC environment, where each node executes the original embedded code. Different nodes run in parallel, connected via so-called virtual channels. The environment allows to modifying the behavior of the virtual channels as well as the overall topology...
Software-defined networking (SDN) is a key new paradigm emerging in the industry, in which networks can be dynamically reconfigured in real-time through software. SDN networks are also being used in conjunction with cloud computing to extend virtualization and elasticity to the network level and as a foundation for the Internet of Things (IoT). A key concept in SDN is the separation of the network...
Both physical disk failure and logical errors such as software error, user abuse and virus attacks may cause data lose. The risk of logical errors is far greater than physical disk failure. Moreover, existing RAID solution cannot satisfy the reliability requirement in face of the logical errors in data centers. It is therefore becoming increasingly important for RAID-based storage systems to be able...
As one of the premier research laboratories operated by the Department of Energy, Brookhaven National Laboratory (BNL) is pursuing an energy research agenda that focuses on renewable energy systems and will help to secure the nation's energy security. A key element of the BNL research is the advancement of grid-connected utility-scale solar photovoltaic (PV) plants, particularly in the northeastern...
Modern software systems are increasingly requested to be adaptive to changes in the environment in which they are embedded. Moreover, adaptation often needs to be performed automatically, through self-managed reactions enacted by the application at run time. Off-line, human-driven changes should be requested only if self-adaptation cannot be achieved successfully. To support this kind of autonomic...
We present architectural and experimental work exploring the role of intermediate data handling in the performance of MapReduce workloads. Our findings show that: (a) certain jobs are more sensitive to disk cache size than others and (b) this sensitivity is mostly due to the local file I/O for the intermediate data. We also show that a small amount of memory is sufficient for the normal needs of map...
Monitoring & Detection (M&D) systems are introduced in almost all daily life aspects. Today, it is unlikely to find out a system that is not equipped with a sort of M&D apparatus, even the most ordinary and uncritical systems. Objective assessments of the performances of M&D systems are increasingly needed. Performance assessment may be motivated by commercial interests or by certification...
Modern computer systems for distributed service computing become highly complex and difficult to manage. A self-adaptive approach that integrates monitoring, analyzing, and actuation functionalities has the potential to accommodate to a dynamically changing environment. The main objective of this paper is to develop an architecture-based self-adaptive framework to improve performance and resource...
To deal with variations, statistical methodologies can be completed by monitoring techniques implemented to cope with dynamic variations while keeping optimized operating points. This paper proposes a new monitoring structure, located in parallel of a pre-defined observable flip-flop. This structure, coupled with a specific detection window generation, embedded within the clock-tree, can anticipate...
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