International Middleware Conference最新文献_第3页

Affinity-aware checkpoint restart 关联感知检查点重启

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663325

Ajay Saini, Arash Rezaei, F. Mueller, Paul H. Hargrove, Eric Roman

引用次数: 6

Strong consistency in cache augmented SQL systems 增强缓存的SQL系统中的强一致性

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663318

Shahram Ghandeharizadeh, Jason Yap, Hieu Nguyen

引用次数: 23

Improving MapReduce performance in heterogeneous environments with adaptive task tuning 通过自适应任务调优提高异构环境下的MapReduce性能

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2666089

Dazhao Cheng, J. Rao, Yanfei Guo, Xiaobo Zhou

{"title":"Improving MapReduce performance in heterogeneous environments with adaptive task tuning","authors":"Dazhao Cheng, J. Rao, Yanfei Guo, Xiaobo Zhou","doi":"10.1145/2663165.2666089","DOIUrl":"https://doi.org/10.1145/2663165.2666089","url":null,"abstract":"The deployment of MapReduce in datacenters and clouds present several challenges in achieving good job performance. Compared to in-house dedicated clusters, datacenters and clouds often exhibit significant hardware and performance heterogeneity due to continuous server replacement and multi-tenant interferences. As most Mapreduce implementations assume homogeneous clusters, heterogeneity can cause significant load imbalance in task execution, leading to poor performance and low cluster utilizations. Despite existing optimizations on task scheduling and load balancing, MapReduce still performs poorly on heterogeneous clusters.\u0000 In this paper, we find that the homogeneous configuration of tasks on heterogeneous nodes can be an important source of load imbalance and thus cause poor performance. Tasks should be customized with different settings to match the capabilities of heterogeneous nodes. To this end, we propose an adaptive task tuning approach, Ant, that automatically finds the optimal settings for individual tasks running on different nodes. Ant works best for large jobs with multiple rounds of map task execution. It first configures tasks with randomly selected configurations and gradually improves tasks settings by reproducing the settings from best performing tasks and discarding poor performing configurations. To accelerate task tuning and avoid trapping in local optimum, Ant uses genetic functions during task configuration. Experimental results on a heterogeneous cluster and a virtual cluster with varying hardware capabilities show that Ant improves the average job completion time by 23%, 11%, and 16% compared to stock Hadoop, customized Hadoop with industry recommendations, and a profiling-based configuration approach, respectively.","PeriodicalId":262822,"journal":{"name":"International Middleware Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 72

Virtual machine consolidation in the wild 野外的虚拟机整合

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663316

Akshat Verma, Juhi Bagrodia, Vimmi Jaiswal

引用次数: 21

Consensus inside 内部的共识

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663321

Tudor David, R. Guerraoui, M. Yabandeh

引用次数: 11

PLEROMA: a SDN-based high performance publish/subscribe middleware PLEROMA:基于sdn的高性能发布/订阅中间件

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663338

M. Tariq, B. Koldehofe, Sukanya Bhowmik, K. Rothermel

引用次数: 54

G-DUR: a middleware for assembling, analyzing, and improving transactional protocols G-DUR:用于组装、分析和改进事务协议的中间件

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663336

Masoud Saeida Ardekani, P. Sutra, M. Shapiro

引用次数: 17

Trustworthy geographically fenced hybrid clouds 值得信赖的地理隔离混合云

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2666091

K. R. Jayaram, D. Safford, Upendra Sharma, V. Naik, D. Pendarakis, S. Tao

{"title":"Trustworthy geographically fenced hybrid clouds","authors":"K. R. Jayaram, D. Safford, Upendra Sharma, V. Naik, D. Pendarakis, S. Tao","doi":"10.1145/2663165.2666091","DOIUrl":"https://doi.org/10.1145/2663165.2666091","url":null,"abstract":"Adoption of hybrid clouds by enterprises has been hampered by the inability of current hybrid cloud infrastructures to provide scalable and efficient mechanisms (1) to ensure the trustworthiness and integrity of the software stack executing a hybrid application workload, or (2) to enforce governmental privacy, data jurisdiction and audit regulations by ensuring that remote data and computation do not cross specified geographic boundaries.\u0000 This paper presents our vision of trustworthy geographically fenced hybrid clouds (TGHC), a generic, scalable and extensible middleware system to automatically bridge the gap between applications with their integrity and geo-fencing policies, and raw hardware infrastructure. It describes TGHCs modularly, by (a) outlining the challenges in certifying the trustworthiness of cloud computing infrastructures and in geo-fencing computation, including scalability limitations of existing solutions, (b) presenting scalable mechanisms to transform bare metal servers into trusted IaaS computing pools through integrity measurement, management and monitoring that leverage open, off-the-shelf hardware technologies like Intel TPM, (c) introducing workload specification languages to specify integrity and geo-fencing policies on hybrid workloads, and (d) extending IaaS systems to ensure that workload bursting from private data centers to public clouds uses trusted computing pools and respects geographic boundaries during initial placement of virtual machines (VMs) and further migration.\u0000 We also present early results from our implementation illustrating the feasibility of our proposed architecture, and outline future research challenges in engineering and effectively using TGHCs.","PeriodicalId":262822,"journal":{"name":"International Middleware Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133718044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

StackSync: bringing elasticity to dropbox-like file synchronization StackSync:给类似于下拉框的文件同步带来弹性

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663332

P. López, Marc Sánchez Artigas, Sergi Toda, C. Cotes, John Lenton

{"title":"StackSync: bringing elasticity to dropbox-like file synchronization","authors":"P. López, Marc Sánchez Artigas, Sergi Toda, C. Cotes, John Lenton","doi":"10.1145/2663165.2663332","DOIUrl":"https://doi.org/10.1145/2663165.2663332","url":null,"abstract":"The design of elastic file synchronization services like Dropbox is an open and complex issue yet not unveiled by the major commercial providers, as it includes challenges like fine-grained programmable elasticity and efficient change notification to millions of devices. In this paper, we propose a novel architecture for file synchronization which aims to solve the above two major challenges. At the heart of our proposal lies ObjectMQ, a lightweight framework for providing programmatic elasticity to distributed objects using messaging. The efficient use of indirect communication: i) enables programmatic elasticity based on queue message processing, ii) simplifies change notifications offering simple unicast and multicast primitives; and iii) provides transparent load balancing based on queues.\u0000 Our reference implementation is StackSync, an open source elastic file synchronization Cloud service developed in the context of the FP7 project CloudSpaces. StackSync supports both predictive and reactive provisioning policies on top of ObjectMQ that adapt to real traces from the Ubuntu One service. The feasibility of our approach has been extensively validated with an open benchmark, including commercial synchronization services like Dropbox or OneDrive.","PeriodicalId":262822,"journal":{"name":"International Middleware Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133033253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

CrowdWiFi: efficient crowdsensing of roadside WiFi networks CrowdWiFi:高效的路边WiFi网络众测

International Middleware Conference Pub Date : 2014-12-08 DOI: 10.1145/2663165.2663329

Di Wu, Qiang Liu, Yuan Zhang, J. Mccann, A. Regan, N. Venkatasubramanian

{"title":"CrowdWiFi: efficient crowdsensing of roadside WiFi networks","authors":"Di Wu, Qiang Liu, Yuan Zhang, J. Mccann, A. Regan, N. Venkatasubramanian","doi":"10.1145/2663165.2663329","DOIUrl":"https://doi.org/10.1145/2663165.2663329","url":null,"abstract":"In this paper, we present CrowdWiFi, a novel vehicular middleware to identify and localize roadside WiFi APs that are located outside or inside buildings. Our work is motivated by the recent surge in availability of open WiFi access points (APs) that are enabling opportunistic data services to moving vehicles. Two key elements of CrowdWiFi that provide vehicles with opportunistic WiFi access include (a) an online compressive sensing component and (b) an offline crowdsourcing module. Online compressive sensing (CS) techniques are primarily used to for the coarse-grained estimation of nearby APs along the driving route; here, the received signal strength (RSS) values are recorded at runtime, and the number and locations of APs are recovered immediately based on limited RSS readings. The offline crowdsourcing mechanism assigns the online CS tasks to crowd-vehicles and aggregates answers using a bipartite graphical model. This offline crowdsourcing executes at a crowd-server that iteratively infers the reliability of each crowd-vehicle from the aggregated sensing results and refines the estimation of APs using weighted centroid processing. Extensive simulation results and real testbed experiments confirm that CrowdWiFi can successfully reduce the number of measurements needed for AP recovery, while maintaining satisfactory counting and localization accuracy. In addition, the impact of CrowdWiFi middleware on WiFi handoff and data transmission applications is examined.","PeriodicalId":262822,"journal":{"name":"International Middleware Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121392824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24