R. Oliveira, Diego Nunes Molinos, M. Freitas, P. F. Rosa, Flávio de Oliveira Silva
{"title":"Workspace-based Virtual Networks: A Clean Slate Approach to Slicing Cloud Networks","authors":"R. Oliveira, Diego Nunes Molinos, M. Freitas, P. F. Rosa, Flávio de Oliveira Silva","doi":"10.5220/0007753104640470","DOIUrl":"https://doi.org/10.5220/0007753104640470","url":null,"abstract":"Cloud Computing has brought a new vision about what applications might expect from underlying networks. Software Defined Networking, in this context, provides techniques to make networks more flexible to application requirements as well as to virtual networks, which help implement the provisioning of physical resources to support tenants. Cloud-hosted applications assume that networks have high throughput, but do not consider competition through the medium, handled by the switches. This paper aims to present the concept of Workspace as a new paradigm to manage the underlying resources in terms of meeting the communication requirements. We introduce a clean-slate approach based on horizontal addressing that has Workspaces as logical links capable of being parameterized at the level of medium access control. In addition, an overview of a new network element designed to allow the parameterization of Workspaces directly on the hardware is given.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114190216","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}
{"title":"Performance Analysis of an Hyperconverged Infrastructure using Docker Containers and GlusterFS","authors":"Rodrigo Leite, P. Solís, E. Alchieri","doi":"10.5220/0007718003390346","DOIUrl":"https://doi.org/10.5220/0007718003390346","url":null,"abstract":"The adoption of hyperconverged infrastructures is a trend in datacenters, because it merges different type of computing and storage resources. Hyperconverged infrastructures use distributed file systems (DFS) to store and replicate data between multiple servers while using computing resources of the same servers to host virtual machines or containers. In this work, the distributed file system GlusterFS and the hypervisor VMware ESXi are used to build an hyperconverged system to host Docker containers, with the goal of evaluate the storage performance of this system compared to traditional approach where data is stored directly on the server’s disks. The performance of the container’s persistent storage is evaluated using the benchmark tool Yahoo Cloud Service Benchmark (YCSB) against the NoSQL databases Cassandra and MongoDB under differents workloads. The NoSQL database’s performance was compared between the hyperconverged system with multiples disk configurations and a traditional system with local storage.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121532935","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}
Rômulo Reis de Oliveira, Paulo S. Souza, Wagner dos Santos Marques, T. Ferreto, F. Rossi
{"title":"Improving the Trade-Off between Performance and Energy Saving in Mobile Devices through a Transparent Code Offloading Technique","authors":"Rômulo Reis de Oliveira, Paulo S. Souza, Wagner dos Santos Marques, T. Ferreto, F. Rossi","doi":"10.5220/0007719703470354","DOIUrl":"https://doi.org/10.5220/0007719703470354","url":null,"abstract":"The popularity of mobile devices has increased significantly, and nowadays they are used for the most diverse purposes like accessing the Internet or helping on business matters. Such popularity emerged as a consequence of the compatibility of these devices with a large variety of applications. However, the complexity of these applications boosted the demand for computational resources on mobile devices. Code Offloading is a solution that aims to mitigate this problem by reducing the use of resources and battery on mobile devices by sending parts of applications to be processed in the cloud. In this sense, this paper presents an evaluation of a transparent code offloading technique, where no modification in the application source code is required to allow the smartphone to send parts of the application to be processed in the cloud. We used a face detection application for the evaluation. Results showed the technique can improve applications performance in some scenarios, achieving speed-up of 12x in the best case.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134077567","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}
{"title":"Cost-evaluation of Cloud Portfolios: An Empirical Case Study","authors":"Benedikt Pittl, W. Mach, E. Schikuta","doi":"10.5220/0007754601320143","DOIUrl":"https://doi.org/10.5220/0007754601320143","url":null,"abstract":"Today, Amazon is the Cloud service market leader with the EC2 platform. Three predominant marketspaces exist on this platform: spot marketspace, reservation marketspace, and the well-known on-demand marketspace. Also other providers such as Google, Microsoft and VirtuStream run multiple marketspaces. Consumers can purchase their virtual machines from different providers on different marketspace to form Cloud portfolios: a bundle of virtual machines whereby the virtual machines have different technical characteristics and pricing mechanisms. An industry-relevant research challenge is to provide best practices and guidelines for creating cost-efficient Cloud portfolios. In this paper, we used Amazon’s marketspaces and the dataset from the Bitbrains datacenter to analyze the cost-efficiency of heterogeneous Cloud portfolios - portfolios where the virtual machines are purchased from different marketspaces. We found out that heterogeneous portfolios are more cost-efficient than homogeneous portfolios for almost all analyzed situations. Our analysis further revealed that consumers request virtual machines that are over-sized which forms a significant field of cost-optimization. A second dataset from the Bitbrains datacenter - from another domain of application - validates our findings.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131710359","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}
Vinícius Meyer, Miguel G. Xavier, Dionatra F. Kirchoff, R. Righi, C. Rose
{"title":"Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications","authors":"Vinícius Meyer, Miguel G. Xavier, Dionatra F. Kirchoff, R. Righi, C. Rose","doi":"10.5220/0007729004040411","DOIUrl":"https://doi.org/10.5220/0007729004040411","url":null,"abstract":"With the advances in eScience-related areas and the growing complexity of scientific analysis, more and more scientists are interested in workflow systems. There is a class of scientific workflows that has become a standard to stream processing, called pipeline-structured application. Due to the amount of data these applications need to process nowadays, Cloud Computing has been explored in order to accelerate such processing. However, applying elasticity over stage-dependent applications is not a trivial task since there are some issues that must be taken into consideration, such as the workload proportionality among stages and ensuring the processing flow. There are studies which explore elasticity on pipeline-structured applications but none of them compare or adopt different strategies. In this paper, we present a comparison between two elasticity approaches which consider not only CPU load but also workload processing time information to reorganize resources. We have conducted a number of experiments in order to evaluate the performance gain and cost reduction when applied our strategies. As results, we have reached an average of 72% in performance gain and 73% in cost reduction when comparing non-elastic and elastic executions.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131900619","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}
{"title":"An Ontological Framework for Reasoning about Relations between Complex Access Control Policies in Cloud Environments","authors":"Simeon Veloudis, I. Paraskakis, Christos Petsos","doi":"10.5220/0007720703550362","DOIUrl":"https://doi.org/10.5220/0007720703550362","url":null,"abstract":"By embracing the cloud computing paradigm enterprises are able to realise significant cost savings whilst boosting their agility and productivity. Yet, due mainly to security and privacy concerns, many enterprises are reluctant to migrate the storage and processing of their critical assets to the cloud. One way to alleviate these concerns, hence bolster the adoption of cloud computing, is to infuse suitable access control policies in cloud services. Nevertheless, the complexity inherent in such policies, stemming from the dynamic nature of cloud environments, calls for a framework capable of providing assurances with respect to the effectiveness of these policies. The work presented in this paper elaborates on such a framework. In particular, it proposes an approach for generically checking potential subsumption relations between access control policies that incorporate the contextual knowledge that characterises an access request and which needs to be taken into account for granting, or denying, the request. The proposed framework is expressed ontologically hence enabling automated reasoning, through semantic inferencing, about policy subsumption.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132824002","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}
{"title":"Handling Packet Losses in Cloud-based MPTCP Application Traffic","authors":"Kiran Yedugundla, Per Hurtig, A. Brunström","doi":"10.5220/0007723801110119","DOIUrl":"https://doi.org/10.5220/0007723801110119","url":null,"abstract":"Internet traffic is comprised of data flows from various applications with unique traffic characteristics. For many cloud applications, end-to-end latency is a primary factor affecting the perceived user experience. As packet losses cause delays in the communication they impact user experience, making efficient handling of packet losses an important function of transport layer protocols. Multipath TCP (MPTCP) is a modification to TCP that enables simultaneous use of several paths for a TCP flow. MPTCP is known to improve throughput. However, the performance of MPTCP is not optimal when handling certain loss scenarios. Efficient packet loss recovery is thus important to achieve desirable flow completion times for interactive cloud-based applications. In this paper we evaluate the performance of MPTCP in handling tail losses using traffic traces from various cloud-based applications. Tail losses, losses that occur at the end of a flow or traffic burst, are particularly challenging from a latency perspective as they are difficult to detect and recover in a timely manner. Tail losses in TCP are handled by using a tail loss probe (TLP) mechanism which was adapted to MPTCP from TCP. We investigate the performance of TLP in MPTCP, comparing the standard implementation to a recently proposed, less conservative approach. Our experimental results show that a less conservative implementation of TLP performs significantly better than the standard implementation in handling tail losses, reducing the average burst completion time of cloud based applications when tail loss occurs by up to 50% in certain cases.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126937493","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}
Artan Mazrekaj, Arlinda Sheholli, Dorian Minarolli, Bernd Freisleben
{"title":"The Experiential Heterogeneous Earliest Finish Time Algorithm for Task Scheduling in Clouds","authors":"Artan Mazrekaj, Arlinda Sheholli, Dorian Minarolli, Bernd Freisleben","doi":"10.5220/0007722203710379","DOIUrl":"https://doi.org/10.5220/0007722203710379","url":null,"abstract":"Task scheduling in cloud environments is the problem of assigning and executing computational tasks on the available cloud resources. Effective task scheduling approaches reduce the task completion time, increase the efficiency of resource utilization, and improve the quality of service and the overall performance of the system. In this paper, we present a novel task scheduling algorithm for cloud environments based on the Heterogeneous Earliest Finish Time (HEFT) algorithm, called experiential HEFT. It considers experiences with previous executions of tasks to determine the workload of resources. To realize the experiential HEFT algorithm, we propose a novel way of HEFT rank calculation to specify the minimum average execution time of previous runs of a task on all relevant resources. Experimental results indicate that the proposed experiential HEFT algorithm performs better than HEFT and the popular Critical-Path-on-a-Processor (CPOP) algorithm considered in our comparison.","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127620508","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}
{"title":"A Feasibility Study of an Agile and Data-Centric Method for Prototyping Services Based on Open Transport Data","authors":"Nicolas Ferry, Aida Omerovic, M. Natvig","doi":"10.1007/978-3-030-49432-2_5","DOIUrl":"https://doi.org/10.1007/978-3-030-49432-2_5","url":null,"abstract":"","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"74 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128051026","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}
Remo Scolati, Ilenia Fronza, Nabil El Ioini, Areeg Samir, H. Barzegar, C. Pahl
{"title":"A Containerized Edge Cloud Architecture for Data Stream Processing","authors":"Remo Scolati, Ilenia Fronza, Nabil El Ioini, Areeg Samir, H. Barzegar, C. Pahl","doi":"10.1007/978-3-030-49432-2_8","DOIUrl":"https://doi.org/10.1007/978-3-030-49432-2_8","url":null,"abstract":"","PeriodicalId":446929,"journal":{"name":"International Conference on Cloud Computing and Services Science","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130431323","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}