Works (12)
Updated: July 5th, 2023 15:55
2018 article
Micky: A Cheaper Alternative for Selecting Cloud Instances
PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), pp. 409–416.
TL;DR:
A collective-optimizer is created, MICKY, that reformulates the task of finding the near-optimal cloud configuration as a multi-armed bandit problem and can achieve on average 8.6 times reduction in measurement cost as compared to the state-of-the-art method while finding near-Optimal solutions.
(via Semantic Scholar)
arxiv.org (repository)
Sources: Web Of Science, ORCID
Added: January 21, 2019
2017 conference paper
Trilogy: data placement to improve performance and robustness of cloud computing
2017 IEEE International Conference on Big Data (Big Data), 2442–2451.
TL;DR:
Evaluations show that maximizing the number of unique partitions per node increases robustness to tolerate workload deviation while minimizing this number reduces storage footprint, and a surprisingly small increase in granularity is sufficient to obtain most benefits.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
Inside-out: Reliable performance prediction for distributed storage systems in the cloud
Proceedings of 2016 ieee 35th symposium on reliable distributed systems (srds), 127–136.
TL;DR:
In-depth evaluation shows that Inside-Out is a robust solution that enables SDS to predict end-to-end performance even in challenging conditions, e.g., changes in workload, storage configuration, available cloud resources, size of the distributed storage service, and amount of interference due to multi-tenants.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 article
Dynamically controlling node-level parallelism in Hadoop
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, pp. 309–316.
TL;DR:
This work develops an approach to dynamically change the parallelism for concurrent containers to suit an application and improves performance of MapReduce applications by as much as 28% and 60% respectively when compared to the best practice and default settings.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2015 article
Evaluation of MapReduce in a large cluster
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, pp. 461–468.
TL;DR:
The findings of running applications on Pivotal's Analytics Workbench, which consists of a 540-node Hadoop cluster, show that IO-intensive applications do not scale as data size increases and MapReduce applications require different amounts of parallelism and overlap to minimize completion time.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
2014 chapter
Tuning Hadoop Map Slot Value Using CPU Metric
In Big Data Benchmarks, Performance Optimization, and Emerging Hardware (pp. 141–153).
TL;DR:
A low-overhead method is found to predict the best MSV using a new Hadoop counter that measures per-map task CPU utilization and shows that using a single MSV for all applications results in performance degradation up to 132 % when compared to using the bestMSV for each application.
(via Semantic Scholar)
Source: Crossref
Added: February 24, 2020
2011 journal article
Adaptive, transparent CPU scaling algorithms leveraging inter-node MPI communication regions
PARALLEL COMPUTING, 37(10-11), 667–683.
author keywords: Power-aware computing; Message passing interface (MPI)
TL;DR:
An MPI runtime system that dynamically reduces CPU frequency and voltage during communication phases in MPI programs and, without a priori knowledge, selects the CPU frequency in order to minimize energy-delay product is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2011 chapter
On the Expressiveness of Return-into-libc Attacks
In Lecture Notes in Computer Science (pp. 121–141).
TL;DR:
This paper presents a generalized R ILC attack called Turing complete RILC (TC-RILC) that allows for arbitrary computations and demonstrates that TC-R ILC satisfies formal requirements of Turing-completeness.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2011 chapter
Taming Information-Stealing Smartphone Applications (on Android)
In Trust and Trustworthy Computing (pp. 93–107).
TL;DR:
A system called TISSA is developed that implements a new privacy mode in smartphones that can empower users to flexibly control in a fine-grained manner what kinds of personal information will be accessible to an application.
(via Semantic Scholar)
Source: Crossref
Added: August 28, 2020
2008 journal article
Just-in-time dynamic voltage scaling: Exploiting inter-node slack to save energy in MPI programs
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 68(9), 1175–1185.
author keywords: power-aware; distributed computing; message passing interface (MPI)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2007 journal article
Analyzing the energy-time trade-off in high-performance computing applications
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 18(6), 835–848.
author keywords: high-performance computing; power-aware computing
TL;DR:
The results show that, for programs that have a memory or communication bottleneck, a power-scalable cluster can save significant energy with only a small time penalty, and it is possible to both consume less energy and execute in less time by increasing the number of nodes while reducing the frequency-voltage setting of each node.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
9. Industry, Innovation and Infrastructure
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2005 chapter
Safe overprovisioning: Using power limits to increase aggregate throughput
In T. N. V. B. Falsafi (Ed.), Power-aware computer systems: 4th International Workshop, PACS 2004, Portland, OR, USA, December 5, 2004 (Lecture notes in computer science; 3471) (Vol. 3471, pp. 150–164).
Ed(s): T. B. Falsafi
TL;DR:
Host-based and network-centric models are proposed to monitor and coordinate the distribution of power with the fundamental goal of increasing throughput and initial results with a synthetic benchmark indicate throughput increases of nearly 6% from a staticly assigned, power managed environment and over 30% from an unmanaged environment.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
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