S
Shivkumar Kalyanaraman
Researcher at IBM
Publications - 289
Citations - 6866
Shivkumar Kalyanaraman is an academic researcher from IBM. The author has contributed to research in topics: Network packet & Network congestion. The author has an hindex of 42, co-authored 287 publications receiving 6677 citations. Previous affiliations of Shivkumar Kalyanaraman include Ohio State University & Rensselaer Polytechnic Institute.
Papers
More filters
Journal ArticleDOI
Weak state versus strong state: an analysis of a probabilistic state mechanism for dynamic networks
TL;DR: Using a mathematical analysis and simulations, it is shown that weak state reduces the distortion values when it provides information about highly dynamic entities and/or it is utilized for protocols that is required to incur a low amount of overhead.
Proceedings ArticleDOI
Quantifying trade-offs in resource allocation for VPNs
TL;DR: It is shown that the structure of VPNs profoundly influences achievable resource utilization gains with various admission control and provisioning schemes, and could have an impact on the way VPNs are architected.
Patent
Grid-friendly data center
Vijay Arya,Tanuja Ganu,Saiful A. Husain,Shivkumar Kalyanaraman,Ashkok Pon Kumar,Swarna L. Mylavarapu,Devasenapathi Periagraharam Seetharamakrishnan,Liyanage C. De Silva +7 more
TL;DR: In this article, a power budget is calculated with respect to the power-drawing location, based on the data and the at least one prediction, which is then used to calculate the power budget.
Journal ArticleDOI
Required extra capacity: A comparative estimation of overprovisioning needed for a classless IP backbone
TL;DR: This paper quantifies the extra capacity requirement for an over-provisioned classless network compared to a CoS network, and shows that the impact of CoS on best-effort (BE) traffic is relatively small while still providing the desired performance for premium traffic.
Patent
Systems and methods for face-to-face mobile phone mercantile transactions
Toru Aihara,Shivkumar Kalyanaraman,Noboru Kamijo,Koichi Kamijo,Kiran Kate,Alwyn R. Lobo,Masana Murase +6 more
TL;DR: In this article, an agreed-upon price for a product is accepted from a buyer mobile phone and a seller mobile phone, and distinct random numbers are assigned to each of the buyer and seller mobile phones.