Search results
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AGILE: Elastic Distributed Resource Scaling for Infrastructure-as-a-Service
Hiep Nguyen, Zhiming Shen, and Xiaohui Gu, North Carolina State University; Sethuraman Subbiah, NetApp Inc.; John Wilkes, Google Inc. Dynamically adjusting the number of virtual machines (VMs) assigned to a cloud application to keep up with load changes ...michele - December 15, 2021 - 10:52 am
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PACMan: Performance Aware Virtual Machine Consolidation
Alan Roytman, University of California, Los Angeles; Aman Kansal, Microsoft Research; Sriram Govindan, Microsoft Corporation; Jie Liu and Suman Nath, Microsoft Research Consolidation of multiple workloads, encapsulated in virtual machines (VMs), can signi ...michele - December 15, 2021 - 11:52 am
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Working Set-based Physical Memory Ballooning
Jui-Hao Chiang, Stony Brook University; Han-Lin Li and Tzi-cker Chiueh, Industrial Technology Research Institute Minimizing the total amount of physical memory consumption of a set of virtual machines (VM) running on a physical machine is the key to impr ...michele - December 15, 2021 - 11:52 am
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Coriolis: Scalable VM Clustering in Clouds
Daniel Campello and Carlos Crespo, Florida International University; Akshat Verma, IBM Research-India; Raju Rangaswami, Florida International University; Praveen Jayachandran, IBM Research-India The growing popularity of virtualized data centers and c ...michele - December 15, 2021 - 11:52 am - 1 comment
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iShuffle: Improving Hadoop Performance with Shuffle-on-Write
Paper! Hadoop is a popular implementation of the MapReduce framework for running data-intensive jobs on ...michele - December 15, 2021 - 11:52 am
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Preemptive ReduceTask Scheduling for Fair and Fast Job Completion
Yandong Wang, Auburn University; Jian Tan, IBM T.J. Watson Research; Weikuan Yu, Auburn University; Li Zhang and Xiaoqiao Meng, IBM T.J. Watson Research; Xiaobing Li, Auburn University Hadoop MapReduce adopts a two-phase (map and reduce) scheme to sche ...michele - December 15, 2021 - 11:52 am
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Adaptive Information Passing for Early State Pruning in MapReduce Data Processing Workflows
traditional database systems. In this paper, we propose an approach for implementing Adaptive Information ...michele - December 15, 2021 - 11:52 am
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To Auto Scale or Not to Auto Scale
Nathan D. Mickulicz, Priya Narasimhan, and Rajeev Gandhi, YinzCam, Inc., and Carnegie Mellon University YinzCam is a cloud-hosted service that provides sports fans with real-time scores, news, photos, statistics, live radio, streaming video, etc., on the ...michele - December 15, 2021 - 11:52 am
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Big Data Exploration Via Automated Orchestration of Analytic Workflows
and scoring. In this paper, we propose an approach that uses a combination of planning and machine ...michele - December 15, 2021 - 11:52 am
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ThroughputScheduler: Learning to Schedule on Heterogeneous Hadoop Clusters
Shekhar Gupta, Christian Fritz, Bob Price, Roger Hoover, and Johan DeKleer, Palo Alto Research Center; Cees Witteveen, Delft University of Technology Hadoop is the de-facto standard for big data analytics applications. Presently available schedulers fo ...michele - December 15, 2021 - 11:52 am
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Real-Time User-Centric Management of Time-Intensive Analytics Using Convergence of Local Functions
These are the questions we will address in this paper. We demonstrate our approach using local functions ...michele - December 15, 2021 - 12:52 pm
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Self-healing and Optimizing of the HIP-based M2M Overlay Network
this paper, we first propose to add the self-healing capabilities to the M2M gateways. We enable at the ... handle M2M devices mobility. Furthermore, in this paper we add the self-optimization capabilities to the ...michele - December 15, 2021 - 12:52 pm
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Between Neighbors: Neighbor Discovery Analysis in EH-IoTs
motion. In this paper we analyze the classical two-way algorithm for neighbor discovery (ND) in an energy ...michele - December 15, 2021 - 12:52 pm
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Towards a Generic Architecture and Methodology for Multi-goal, Highly-distributed and Dynamic Autonomic Systems
highly difficult and costly. To illustrate this problem, this paper considers a system that could be ... deployed in the future, integrating smart homes within a smart microgrid. The paper addresses this problem ...michele - December 15, 2021 - 12:52 pm
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Learning Deployment Trade-offs for Self-Optimization of Internet of Things Applications
Arun kishore Ramakrishnan, Nayyab Zia Naqvi, Zubair Wadood Bhatti, Davy Preuveneers, and Yolande Berbers, KU Leuven The Internet of Things (IoT) is the next big wave in computing characterized by large scale open ended heterogeneous network of things, wi ...michele - December 15, 2021 - 12:52 pm
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Autonomic Fail-over for a Software-Defined Container Computer Network
failures of its own control servers. This paper describes the design and implementation of Peregrine’s ...michele - December 15, 2021 - 12:52 pm
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Fault Management in Map-Reduce Through Early Detection of Anomalous Nodes
faulty conditions. In this paper, we present Fault-Managed Map-Reduce (FMR) which augments Hadoop with ...michele - December 15, 2021 - 12:52 pm
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Reliability and Timeliness Analysis of Fault-tolerant Distributed Publish/Subscribe Systems
enhancement techniques have not yet been analyzed. This paper proposes a generic model that abstracts the ...michele - December 15, 2021 - 12:52 pm
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Mitigating Anonymity Challenges in Automated Testing and Debugging Systems
Silviu Andrica and George Candea, École Polytechnique Fédérale de Lausanne (EPFL) Modern software often provides automated testing and bug reporting facilities that enable developers to improve the software after release. Alas, this comes at the cost of u ...michele - December 15, 2021 - 12:52 pm
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Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs
profits. This paper presents Zoolander, a key value store that meets strict, low latency service level ...michele - December 15, 2021 - 12:52 pm
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AUTOPLACER: Scalable Self-Tuning Data Placement in Distributed Key-value Stores
Técnico, and Universidade Técnica de Lisboa Best Paper Award Finalist This paper addresses the problem of ... scalable ways to identify the right data placement, but also to preserve fast data lookup. The paper ...michele - December 15, 2021 - 1:52 pm
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QoS-Aware Admission Control in Heterogeneous Datacenters
Christina Delimitrou, Nick Bambos, and Christos Kozyrakis, Stanford University Large-scale datacenters (DCs) host tens of thousands of diverse applications each day. Apart from determining where to schedule workloads, the cluster manager should also decid ...michele - December 15, 2021 - 1:52 pm
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Performance Inconsistency in Large Scale Data Processing Clusters
demands. In this paper, we show that current cluster schedulers, which optimize for instantaneous fairness, ...michele - December 15, 2021 - 1:52 pm
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Temperature Aware Workload Management in Geo-distributed Datacenters
In this paper, we propose to make workload management for geo-distributed datacenters temperature ...michele - December 15, 2021 - 1:52 pm
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Power-Aware Throughput Control for Database Management Systems
different power modes. In this paper, we present Power-Aware Throughput control (PAT), an online feedback ...michele - December 15, 2021 - 1:52 pm