2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)最新文献_第6页

Automatic Reconfiguration of NIDSs in IaaS Clouds with SAIDS 基于SAIDS的IaaS云中nids的自动重构

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-12-01 DOI: 10.1109/CloudCom2018.2018.00031

Anna Giannakou, Louis Rilling, C. Morin, Jean-Louis Pazat

引用次数: 0

Towards High-Level Software Approaches to Reduce Virtualization Overhead for Parallel Applications 面向降低并行应用虚拟化开销的高级软件方法

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-12-01 DOI: 10.1109/CloudCom2018.2018.00046

Stijn Schildermans, Kris Aerts

{"title":"Towards High-Level Software Approaches to Reduce Virtualization Overhead for Parallel Applications","authors":"Stijn Schildermans, Kris Aerts","doi":"10.1109/CloudCom2018.2018.00046","DOIUrl":"https://doi.org/10.1109/CloudCom2018.2018.00046","url":null,"abstract":"Due to its numerous advantages, the IT industry is moving more and more towards the cloud for hosting applications. Reducing the virtualization overhead inherent to cloud computing has therefore been a topic of much research and innovation, resulting in a drastic reduction of this overhead for most workloads. For specific tasks however, challenges remain. One example is parallel, CPU-intensive workloads. Studies concerning this specific workload exist, but focus on low-level properties of the virtualization process, which are often out of reach of the application programmer in commercial cloud environments. Therefore, we aim to approach virtualization overhead from an application architecture and implementation perspective, and provide guidelines for application programmers to develop their software in such a way that they avoid virtualization overhead without the need for access to the hypervisor or specific hardware. As a first step towards this goal, this paper offers a proof of concept applied to the dedup benchmark from the PARSEC benchmark suite, which is notorious for its high virtualization overhead. We provide an alternative implementation of this benchmark, which suffers negligible virtualization overhead compared to the original, thus increasing performance by up to 45%.","PeriodicalId":365939,"journal":{"name":"2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094270","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: 2

Towards Dynamic Multi-task Schedulling of OpenCL Programs on Emerging CPU-GPU-FPGA Heterogeneous Platforms: A Fuzzy Logic Approach 基于模糊逻辑方法的新兴CPU-GPU-FPGA异构平台上OpenCL程序的动态多任务调度

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-12-01 DOI: 10.1109/CloudCom2018.2018.00055

Ahmad Al-Zoubi, K. Tatas, C. Kyriacou

引用次数: 4

A Resilient Agent-Based Architecture for Efficient Usage of Transient Servers in Cloud Computing 基于弹性代理的云计算瞬态服务器高效使用体系结构

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-12-01 DOI: 10.1109/CloudCom2018.2018.00050

J. P. A. Neto, D. Pianto, C. Ralha

{"title":"A Resilient Agent-Based Architecture for Efficient Usage of Transient Servers in Cloud Computing","authors":"J. P. A. Neto, D. Pianto, C. Ralha","doi":"10.1109/CloudCom2018.2018.00050","DOIUrl":"https://doi.org/10.1109/CloudCom2018.2018.00050","url":null,"abstract":"Unused resources are being exploited by cloud computing providers, which are offering transient servers without availability guarantees. Spot instances are transient servers offered by Amazon AWS, with rules that define prices according to supply and demand. These instances will run for as long as the current price is lower than the maximum bid price given by users. Spot instances have been increasingly used for executing computation and memory intensive applications. By using dynamic fault tolerant mechanisms and appropriate strategies, users can effectively use spot instances to run applications at a cheaper price. This paper presents a resilient agent-based cloud computing architecture. For an efficient usage of transient servers, the architecture combines machine learning and a statistical model to predict instance survival times, refine fault tolerance parameters and reduce total execution time. We evaluate our strategies and the experiments demonstrate high levels of accuracy, reaching a 94% survival prediction success rate, which indicates that the model can be effectively used to define execution strategies to prevent failures at revocation events under realistic working conditions.","PeriodicalId":365939,"journal":{"name":"2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127915083","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: 6

Validating Data Integrity with Blockchain 用区块链验证数据完整性

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-12-01 DOI: 10.1109/CloudCom2018.2018.00060

Rosco Kalis, A. Belloum

引用次数: 22

Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks 实现大数据框架动态异构执行的挑战与建议

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-10-31 DOI: 10.1109/CloudCom2018.2018.00070

Maria Xekalaki, J. Fumero, Christos Kotselidis

{"title":"Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks","authors":"Maria Xekalaki, J. Fumero, Christos Kotselidis","doi":"10.1109/CloudCom2018.2018.00070","DOIUrl":"https://doi.org/10.1109/CloudCom2018.2018.00070","url":null,"abstract":"The efficient execution of Big Data applications requires a large quantity of compute and memory resources. Typically, these resources are in the form of data centres with numerous processing elements connected through a computer network. Although initially the majority of data centers were utilizing only CPU resources, nowadays we can find heterogeneous accelerators such as GPUs and FPGAs. Ideally, Big Data frameworks and applications should exploit those diverse hardware resources in order to push their performance boundaries or increase resource utilization. Despite ongoing work to enable such functionality, the majority of the solutions revolve around external libraries that provide pre-compiled kernels for heterogeneous accelerators. This fact imposes programmability and code fragmentation challenges that can only be addressed by enabling Big Data platforms to dynamically compile and execute their code on such devices. In this paper we analyze and discuss the major challenges for programming and executing Big Data processing applications on distributed systems with heterogeneous hardware. In addition, we present our work-in-progress towards providing a heterogeneous programming framework for running Big Data applications on systems that include diverse hardware resources including CPUs, GPUs, and FPGAs. In contrast to existing approaches, our envisioned solution employs JIT compilation and runtime support, integrated in the data flow engine, enabling the automatic acceleration of Big Data platforms completely transparently to the user and without sacrificing programmability.","PeriodicalId":365939,"journal":{"name":"2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121410532","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: 2

Offloading Execution from Edge to Cloud: A Dynamic Node-RED Based Approach 卸载执行从边缘到云:一个动态的基于节点的方法

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) Pub Date : 2018-10-26 DOI: 10.1109/CloudCom2018.2018.00039

Román Sosa, C. Király, J. Rodriguez

引用次数: 6