S
Santonu Sarkar
Researcher at Birla Institute of Technology and Science
Publications - 134
Citations - 2237
Santonu Sarkar is an academic researcher from Birla Institute of Technology and Science. The author has contributed to research in topics: Software as a service & Software system. The author has an hindex of 22, co-authored 125 publications receiving 2048 citations. Previous affiliations of Santonu Sarkar include Jadavpur University & Accenture.
Papers
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Journal ArticleDOI
Analysis and Diagnosis of SLA Violations in a Production SaaS Cloud
TL;DR: This paper study SLA violations of a production SaaS platform, diagnose the causes, unearth several critical failure modes, and then, suggest various solution approaches to increase the availability of the platform as perceived by the end user.
Proceedings ArticleDOI
A collaborative platform for application knowledge management in software maintenance projects
TL;DR: In the era of global outsourcing, maintenance and enhancement activities are performed in distributed locations and a critical success factor in such a scenario is to have a collaborative platform for managing and sharing the domain specific knowledge across distributed locations.
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An Empirical Study of Hadoop's Energy Efficiency on a HPC Cluster
TL;DR: Empirically study how the energy efficiency of a map-reduce job varies with increase in parallelism and network bandwidth on a HPC cluster and suggest strategies for configuring the degree of parallelism, network bandwidth and power management features in a HPS cluster for energy efficient execution of map- reduce jobs.
Proceedings ArticleDOI
Filtering Security Alerts for the Analysis of a Production SaaS Cloud
TL;DR: This paper investigates the use of different text weighting schemes to filter an average volume of 1,000 alerts/day produced by a security information and event management tool in a production SaaS Cloud and develops a entropy scheme to pinpoint relevant information across the amount of daily textual alerts.
Proceedings ArticleDOI
Analysis of SaaS Business Platform Workloads for Sizing and Collocation
TL;DR: A tool iCirrus-WoP is proposed that determines VM capacity and VM collocation possibilities for a given set of application workloads and an empirical analysis of the approach reveals the possibility of collocating applications running in different time-zones.