Συντάχθηκε 29-05-2017 11:00
από Evripidis Petrakis
Email συντάκτη: epetrakis<στο>tuc.gr
Ενημερώθηκε:
-
Ιδιότητα: ΔΕΠ ΗΜΜΥ.
Την ερχόμενη Τρίτη 6 Ιουνίου, στις 11:30 στο Αμφιθέατρο του κτ.
Επιστημών, η κ. Christiana Amza θα δώσει ομιλία
με θέμα "Semantic-Aware Anomaly Detection in Data Centers and Clouds".
Semantic-Aware Anomaly Detection in Data Centers and Clouds
Modern Cloud and Data Center environments are based on large scale
distributed storage systems. Diagosing configuration errors, software
bugs and performance anomalies in such systems has become a major
problem for large Web hosting sites.
As part of a larger project, which endeavors to design and prototype
interactive, guided modelling for such systems I will introduce
Semantic-Aware Resource Anomaly Detection (SARAD), and Program-Aware
Anomaly Detection (PAAD), two low overhead real-time solutions for
detecting runtime anomalies in storage systems. Both SARAD and PAAD are
based on the key observation that most state-of-the-art storage server
architectures are multi-threaded and structured as a set of repeatable
modules, which we call stages, hence provide good opportunities for
statistical modelling and anomaly detection.
SARAD and PAAD leverage this observation to collect stage-level resource
consumption and log summaries at runtime and to perform statistical
analysis across stage instances. Stages that generate either one of i)
abnormal resource usage patterns, or ii) rare execution flows or
unusually high duration for regular flows at run-time indicate
anomalies. Both methods make two key contributions: i) limit the search
space for root causes, by pinpointing specific anomalous code stages,
and ii) reduce compute and storage requirements for monitoring data and
log analysis, while preserving accuracy, through information summarization.
We evaluated both methods on three distributed storage systems: HBase,
Hadoop Distributed File System (HDFS), and Cassandra. We show that, with
practically zero overhead, we uncover various anomalies in real-time.
Bio: Cristiana Amza received her B.S. degree in Computer
Engineering from Bucharest Polytechnic Institute in 1991, the M.S. and
the Ph.D. degrees in Computer Science from Rice University in 1997 and
2003 respectively. Her research interests are in the area of distributed
and parallel systems, with an emphasis on designing, prototyping and
experimentally evaluating novel algorithms and tools for self-managing,
self-adaptive and self-healing behavior in data centers and Clouds. She
joined the Department of Electrical and Computer Engineering at
University of Toronto in October 2003 as an Assistant Professor and
became an Associate Professor in July 2009. She is actively
collaborating with several industry partners, including Intel, NetApp,
Bell Canada, and IBM through IBM T.J. Watson, Almaden and IBM Toronto Labs.
Συντάχθηκε 06-06-2017 11:43
από Michail Lagoudakis
Email συντάκτη: lagoudakis<στο>tuc.gr
Ενημερώθηκε:
-
Ιδιότητα: ΔΕΠ ΗΜΜΥ.
Υπενθύμιση ... Η ομιλία μόλις ξεκίνησε στο Αμφιθέατρο του Κτιρίου Επιστημών.
Συντάχθηκε 08-06-2017 17:57
από Michail Lagoudakis
Email συντάκτη: lagoudakis<στο>tuc.gr
Ενημερώθηκε:
-
Ιδιότητα: ΔΕΠ ΗΜΜΥ.
Η παραπάνω ομιλία είναι διαθέσιμη από το κανάλι YouTube της Σχολής ΗΜΜΥ:
http://www.youtube.com/watch?v=Z3wNnm_8KwQ
