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Scale-Out vs. Scale-Up Techniques for Cloud Performance and Productivity

Kai Hwang, Yue Shi, Xiaoying Bai
2014 2014 IEEE 6th International Conference on Cloud Computing Technology and Science  
An elastic cloud provisions machine instances upon user demand. Auto-scaling, scale-out, scale-up, or any mixture techniques are used to reconfigure the user cluster as workload changes.  ...  We evaluate three scaling strategies to upgrade the performance, efficiency and productivity of elastic clouds like EC2, Rackspace, etc.  ...  (c) Mixed Scaling-Out and Scaling-Up Technique: This refers to the use of both scale-out and scale-up techniques at the same time.  ... 
doi:10.1109/cloudcom.2014.66 dblp:conf/cloudcom/HwangSB14 fatcat:fnmnjmen2ngw5c5eushwyrs2jy

Cloud Performance Modeling with Benchmark Evaluation of Elastic Scaling Strategies

Kai Hwang, Xiaoying Bai, Yue Shi, Muyang Li, Wen-Guang Chen, Yongwei Wu
2016 IEEE Transactions on Parallel and Distributed Systems  
In this paper, we present generic cloud performance models for evaluating Iaas, PaaS, SaaS, and mashup or hybrid clouds.  ...  To satisfy production services, the choice of scale-up or scale-out solutions should be made primarily by the workload patterns and resources utilization rates required.  ...  up The performance maps of two HI Bench programs on two EC2 cluster configurations for the scale-out, scale-up, and mixed scale-up/scale-out workloads over 10 GB of data elements.  ... 
doi:10.1109/tpds.2015.2398438 fatcat:blkvz2kyuzfqpbfrlv4id2n54y

Scale-up vs scale-out for Hadoop

Raja Appuswamy, Christos Gkantsidis, Dushyanth Narayanan, Orion Hodson, Antony Rowstron
2013 Proceedings of the 4th annual Symposium on Cloud Computing - SOCC '13  
scale-up performance.  ...  The conventional wisdom in industry and academia is that scaling out using a cluster of commodity machines is better for these workloads than scaling up by adding more resources to a single server.  ...  Acknowledgments We thank the reviewers, and our shepherd Anthony Joseph, who provided valuable feedback and advice.  ... 
doi:10.1145/2523616.2523629 dblp:conf/cloud/AppuswamyGNHR13 fatcat:y6f5xc6plbarvpz7k6k2q3h46y

Using Cloud, Modularity, and Make-to-Upgrade Strategy for Integrating Customized-Oriented Supply Networks [chapter]

Afshin Mehrsai, Hamid-Reza Karimi, Klaus-Dieter Thoben
2013 IFIP Advances in Information and Communication Technology  
The complementary aspects of these techniques are highlighted and briefly explained here. MTU is as a strategy for future products with new characteristics, e.g., upgradability.  ...  As a practical solution, in this paper a new collaborative approach out of modularity structure, cloud computing, and a novel production strategy, called Make-to-Upgrade (MTU), is suggested.  ...  Product Modularity and Make-To-Upgrade (MTU) Strategy In general, modularity in design of products brings about a large scale of product variety, while applying similar modules for alternative products  ... 
doi:10.1007/978-3-642-41266-0_53 fatcat:exljkcd5ifdrljf555i2fimebu

A Comparative Analysis of Traditional and Cloud Data Warehouse

Khawaja Ubaid ur Rehman, Umair Ahmad, Sajid Mahmood
2018 VAWKUM Transactions on Computer Sciences  
It can be scaled up or down at any time and also it has no limitation on increasing number of users. In this review paper, we have compared traditional and cloud data warehouse.  ...  However, traditional data warehouse may not be suitable for the data analysis needs because of the evolving requirement of industry. It cannot be scaled up or down.  ...  Figure- 2 : 2 Cloud Data Warehouse DW predicting the main source of decision support and business analytics. Table 1 . 1 Traditional vs. Cloud DWH cannot scale data up and down at any time.  ... 
doi:10.21015/vtcs.v15i1.487 fatcat:473e2s7ygrgjxbegz2ecbohpee

Empirical prediction models for adaptive resource provisioning in the cloud

Sadeka Islam, Jacky Keung, Kevin Lee, Anna Liu
2012 Future generations computer systems  
Cloud computing allows dynamic resource scaling for enterprise online transaction systems, one of the key characteristics that differentiates the cloud from the traditional computing paradigm.  ...  Experimental results demonstrate that the proposed technique offers more adaptive resource management for applications hosted in the cloud environment, an important mechanism to achieve ondemand resource  ...  Acknowledgment NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre  ... 
doi:10.1016/j.future.2011.05.027 fatcat:rop4vny2bbduvd2ysv4gykujni

A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment

Yuvha R, Sathiyamoorthy E
2018 EAI Endorsed Transactions on Energy Web  
1 Auto-scaling systems help provisioning resources on demand which helps tap into the elastic nature of the cloud.  ...  To tackle provisioning resources on demand there are reactive and proactive strategies in place.  ...  The result is that the scale up and the scale out combination gives the optimal scaling policy.  ... 
doi:10.4108/eai.13-7-2018.163977 fatcat:ixflog2vfbc3longlgclebfzuq

Validation of AIRS/AMSU cloud retrievals using MODIS cloud analyses

Gyula I. Molnar, Joel Susskind, Sylvia S. Shen, Paul E. Lewis
2005 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI  
This allows us for a rather rare and interesting possibility: the intercomparisons and mutual validation of imager vs. sounder-based cloud products obtained from the same satellite positions.  ...  Within each AIRS footprint, cloud parameters at up to 2 cloud layers are determined with differing cloud top pressures and "effective" (product of infrared emissivity at 11 pm and physical cloud fraction  ...  ; 4) Update cloud clearing using AIRS regression guess parameters; for up to two RESULTS First, we have performed collocated instantaneous retrieval intercomparisons using AIRS and MODIS measurements  ... 
doi:10.1117/12.603706 fatcat:uihibjbanjavtfnei4nnr4jknq

pipsCloud: High performance cloud computing for remote sensing big data management and processing

Lizhe Wang, Yan Ma, Jining Yan, Victor Chang, Albert Y. Zomaya
2018 Future generations computer systems  
To solve the aforementioned issues efficiently, we propose pipsCloud which combine recent Cloud computing and HPC techniques to enable large-scale RS data processing system as on-demand real-time services  ...  improved data locality and optimized I/O performance.  ...  From bottom to up is respectively physical resources, cloud framework, VE-RS, VS-RS, data management and cloud portal.  ... 
doi:10.1016/j.future.2016.06.009 fatcat:gnkwaeggozcenkbuw7vdbmhe7i

Lightweight Automatic Resource Scaling for Multi-tier Web Applications

Lenar Yazdanov, Christof Fetzer
2014 2014 IEEE 7th International Conference on Cloud Computing  
The most widely used and practical approach for dynamic scaling based on predefined policies (rules).  ...  Our framework performs fine-grained vertical resource scaling of multi-tier web application. We present the design and implementation of VscalerLight.  ...  Reactive mechanism allows to quickly scale up the VM resource assignment in response to unexpected load increase and provide desired performance. Our scaling framework runs on top of Xen hypervisor.  ... 
doi:10.1109/cloud.2014.69 dblp:conf/IEEEcloud/YazdanovF14 fatcat:sb5dtpanbfevhcheutvthnjns4

Comparison Between Measurements and WRF Numerical Simulation of Global Solar Irradiation in Romania

Dragos Isvoranu, Viorel Badescu
2013 Annals of West University of Timisoara: Physics  
(NMM) or GFS-WRF(ARW) is most suitable for short term global solar irradiation forecasting in order to assess the performance of the photovoltaic power stations (Badescu and Dumitrescu, 2012, [1], Martin  ...  Based on a preliminary analysis that took into account several criteria among which, performance, cost, popularity and meteorological and satellite data accessibility we concluded that a combination GFS-WRF  ...  In addition, statistical techniques have been proposed for forecasting solar irradiance with up to 24 h [4] .  ... 
doi:10.1515/awutp-2015-0103 fatcat:tcgibkrfxzbmrefw4ublmrodee

HeteroVisor

Vishal Gupta, Min Lee, Karsten Schwan
2015 SIGPLAN notices  
HeteroVisor is implemented for the Xen hypervisor, with mechanisms that go beyond core scaling to also deal with memory resources, via the online detection of hot memory pages and transparent page migration  ...  The approach is explored for the heterogeneous processor and memory subsystems evolving for modern server platforms, leading to mechanisms that can manage these heterogeneous resources dynamically and  ...  Both horizontal and vertical scaling are scale up methods, separate from the scale out methods varying the number VM instances.  ... 
doi:10.1145/2817817.2731191 fatcat:lefi7xjfenduvl7uhhvn7h6kgi

HeteroVisor

Vishal Gupta, Min Lee, Karsten Schwan
2015 Proceedings of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments - VEE '15  
HeteroVisor is implemented for the Xen hypervisor, with mechanisms that go beyond core scaling to also deal with memory resources, via the online detection of hot memory pages and transparent page migration  ...  The approach is explored for the heterogeneous processor and memory subsystems evolving for modern server platforms, leading to mechanisms that can manage these heterogeneous resources dynamically and  ...  Both horizontal and vertical scaling are scale up methods, separate from the scale out methods varying the number VM instances.  ... 
doi:10.1145/2731186.2731191 dblp:conf/vee/GuptaLS15 fatcat:fduahvnhbjdnnckqvf2gbnk7yu

ShuttleDB: Database-Aware Elasticity in the Cloud

Sean Kenneth Barker, Yun Chi, Hakan Hacigümüs, Prashant J. Shenoy, Emmanuel Cecchet
2014 IEEE International Conference on Autonomic Computing  
We then combine these database-aware techniques with VM-level mechanisms to implement a flexible elasticity approach that can achieve efficient scale up, scale out, or scale back for diverse tenants with  ...  Our experimental evaluation of the ShuttleDB prototype shows that by applying migration and replication techniques at the tenant level, automated elasticity can be achieved both intra-and inter-datacenter  ...  , and scale-out or scale-up).  ... 
dblp:conf/icac/BarkerCHSC14 fatcat:5ssmuvkn25h2roh65f7pvxswry

Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities

Vivek Narasayya, Surajit Chaudhuri
2022 Proceedings of the 2022 International Conference on Management of Data  
We discuss techniques that have been developed for enabling elasticity, providing SLAs, ensuring performance isolation, and reducing cost.  ...  In this tutorial we review architectures of today's cloud data services and identify trends and challenges that arise in multi-tenant cloud data services.  ...  better performance -without affecting performance of the production database.  ... 
doi:10.1145/3514221.3522566 fatcat:bnkqnk4j4zgvzkcyh2qs7skiqm
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