@article {225,
	title = {Fault-tolerant meta-scheduler for price-based job scheduling by applying multi-reservation method},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2010},
	pages = {213 - 218},
	abstract = {In market-like grids, applying an economical method for providing fault-tolerant job scheduling is necessary. Since we have to pay cost for job execution in economic grids, consumers tend to execute their jobs on a grid with minimum cost and acceptable completion time. To do this, many approaches have been proposed, but they unilaterally consider either time/cost or consumer/provider profit. Based on current research, a new approach has been proposed; the approach is an optimized, fault-tolerant method for meta-scheduler that considers bilateral satisfaction for consumer/provider and a tolerable completion time. We suppose that, if one of the provider nodes fails, there would not be enough time to start a task on a new node from the beginning. The experimental results show a promising improvement in job scheduling with less computation cost, better fault-tolerance, and an acceptable completion time.},
	keywords = {Check-pointing, Fault tolerance, Replication, Rough set},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960679148\&partnerID=40\&md5=e30a655c66545df2023a714a92a03da8},
	author = {Bouyer, A. and Abdullah, A.H.}
}
@article {69,
	title = {A robust outlier detection scheme for collaborative sensor networks},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2007},
	pages = {12 - 18},
	abstract = {In-networks, Data Aggregation is usually warranted for distributed wireless sensor networks, owing to reliability and energy efficiency reasons. Sensor nodes are usually deployed in unattended and unsafe environments and hence are vulnerable to intentional or unintentional damages. Individual nodes are prone to different type of faults such as hardware faults, crash faults etc and other security vulnerabilities wherein one or more nodes are compromised to produce bogus data so as to confuse the rest of the network in collaborative sensing applications. The availability of constrained resources and the presence of faulty nodes make designing fault tolerant information aggregation mechanisms in large sensor networks particularly challenging. In our work, we consider Byzantine type of faults, which encompasses most of the common sensor node faults [9]. Faulty nodes are assumed to send inconsistent and arbitrary values to other nodes during information exchange process. These values are termed as outliers and we use a statistical test called Modified Z-score method to reliably detect and remove outliers. We show by simulation that the proposed strategy works well for 2 major classes of collaborative sensor network applications viz. (i) Target/Event detection and (ii) Continuous data gathering.},
	keywords = {Data aggregation, Detection accuracy, Distributed information processing, False positives, Fault tolerance, Outliers},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33947305265\&partnerID=40\&md5=2fae284d218d7852052fabf8a0ef68ca},
	author = {Jayashree, L.S. and Arumugam, S. and Vijayalakshmi, K.}
}
