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SDN orchestration, the problem of integrating and deploying multiple network control functions (NCFs) while minimizing suboptimal network states that can result from competing NCF objectives, is a challenging open problem. In this work, we formulate SDN orchestration as a multiobjective optimization problem, and present an evolutionary approach designed to explore the NCF tradeoff space comprehensively...
About ten years ago, we presented the results of an effort to identify the "right metric" for efficient supercomputing at this workshop, The Workshop on High-Performance, Power-Aware Computing. In this paper, we review the advances that the community has made in this area of research. The intention of this ten-year retrospective is two-fold: (1) to acknowledge the past work through a historical...
With the rapid growing number of Cloud applications, demands for large-scale data centers have raised to historical high. Cloud data centers allow dynamic and flexible resource provisioning to accommodate time varying computational demands. Recent studies have proposed several allocation policies based mainly on power consumption of servers. Host temperature, however, is rarely considered as a monitoring...
A novel probabilistic multi-tenant model is developed to characterize the service performance of cloud systems. The model considers essential cloud-system characteristics including virtualization, multi-tenancy and heterogeneity of the physical servers. Given the probabilistic multi-tenant model, three virtual machine mapping algorithms are proposed. Of particular interest is the max-load-first algorithm,...
Information centric networks (ICNs) allow content objects to be cached within the network, so as to provide efficient data delivery. Existing works on in-network caches mainly focus on minimizing the redundancy of caches to improve the cache hit ratio, which may not lead to significant bandwidth saving. On the other hand, it could result in too frequent caching operations, i.e., cache placement and...
Location-Based Service (LBS) has become a vital part of our daily life. While enjoying the convenience provided by LBS, users may lose privacy since the untrusted LBS server has all the information about users in LBS and it may track them in various ways or release their personal data to third parties. To address the privacy issue, we propose a Dummy-Location Selection (DLS) algorithm to achieve k-anonymity...
Nowadays, use of web has increased. User search a web corresponds to a query. Search engine provide indexed result for the users. Clickstream analysis is a new approach for web page importance calculation. User uses some clicks on the results according to the search result. These clicks are stored on server log file. Server log file store the order sequence of user clicks after that these clicks can...
RAILS User Interface Program complements the RAILS Game by: ○ Interfacing with the 3D Game ○ Provides instructors with valuable feedback on user's knowledge, skills and abilities ○ Allows instructor to customize training content ○ Facilitates communication with instructors and other trainees Current Status ○ Alpha Release being Tested ○ Beta Release planned for February 2012 ○ Commercial Release planned...
This paper introduces a framework and a methodology to manage a SaaS application on top of a PaaS infrastructure. This framework utilizes PaaS policy sets to implement the SaaS providers elasticity policy for its application server tier. A strategy-tree is utilized at the SaaS layer to actively guide policy set selection at runtime in order to maintain alignment with the SaaS providers business objectives...
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