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Shuttle: Intrusion Recovery for PaaS

Shuttle: Intrusion Recovery for PaaS

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international conference on distributed computing Systems

作者： Dário Nascimento Miguel Correia INESC-ID Universidade de Lisboa

the number of applications being deployed using the Platform as a Service (PaaS) cloud computing model is increasing. Despite the security controls implemented by cloud service providers, we expect intrusions to strike such applications. We present Shuttle, a novel intrusion recovery service. Shuttle recovers from intrusions in applications deployed in PaaS platforms. Our approach allows undoing changes to the state of PaaS applications due to intrusions, without loosing the effect of legitimate operations performed after the intrusions take place. We combine a record-and-replay approach with the elasticity provided by cloud offerings to recover applications deployed on various instances and backed by distributed databases. the service loads a database snapshot taken before the intrusion and replays subsequent requests, as much in parallel as possible, while continuing to execute incoming requests. We present an experimental evaluation of Shuttle on Amazon Web Services. We show Shuttle can replay 1 million requests in 10 minutes and that it can duplicate the number of requests replayed per second by increasing the number of application servers from 1 to 3.

关键词： Servers distributed databases Computational modeling Security Elasticity Software

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ComFaaS distributed: Edge computing with Function-as-a-Service in parallel Cloud Environments

ComFaaS Distributed: Edge Computing with Function-as-a-Servi...

引用

international conference on Information and Computer technologies (ICICT)

作者： Jaden Jinu Lee Judah Nava Hanku Lee Computer Science and Information Systems Minnesota State University Moorhead Moorhead MN

ISBN: (数字)9798350385625

ISBN: (纸本)9798350385632

Function-as-a-Service (FaaS) has emerged as a revolutionary service platform, abstracting the complexities of hardware, operating systems, and web hosting services. this allows developers to focus solely on implementing their service applications, making FaaS an ideal platform for the scalable manipulation of large data sets. Traditionally deployed on the cloud, FaaS now faces a new frontier: the network edge. Leveraging the edge offers several potential benefits, including reduced latency and improved resource utilization, making it a promising approach for efficient FaaS deployment. As the daily volume and complexity of data we handle continues to grow, adopting a parallel computing paradigm has become increasingly important to ensure fast and efficient execution of computational tasks. Addressing this need, ComFaaS distributed embarks on a comprehensive comparison of the capabilities of parallelized edge and cloud environments for FaaS deployment. Utilizing benchmark programs meticulously crafted to simulate event-triggered scenarios, ComFaaS distributed aims to provide valuable insights into the performance and potential of FaaS at the edge, paving the way for a future where parallel computing empowers the efficient and scalable processing of ever-growing data volumes.

关键词： Cloud computing Computer architecture parallel processing Benchmark testing Computational efficiency Complexity theory Web sites

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parallelizing shortest path algorithm for time dependent graphs with flow speed model

Parallelizing shortest path algorithm for time dependent gra...

引用

international conference on Application of Information and Communication technologies (AICT)

作者： Mehmet Akif Ersoy Can Özturan Bogazici Universitesi Istanbul TR Dept. of Computer Engineering Bogazici University Istanbul Turkey

Various sequential algorithms for the shortest path problem on time dependent graphs are appearing in the literature. However, these algorithms mostly suffer from long running times and huge memory requirements. these problems are making them unsuitable for navigation applications which need to run on real time data with fast response times. For the shortest path problem with time dependent flow speed model, we propose parallel algorithms based on Modified Dykstra algorithm in order to speed-up the running time of the sequential algorithm without requiring much more memory. We develop three different parallel implementations by using Cuda and OpenMP: these are (i) a Cuda based version, (ii) an OpenMP based version and (iii) a hybrid Cuda and OpenMP based version. We get up to 10-fold speedup in the OpenMP version, and 17-fold speed up in the other two versions.

关键词： Shortest path problem Algorithm design and analysis parallel algorithms Heuristic algorithms US Department of Transportation Graphics processing units Memory management

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FPGA-Based parallel Multi-Core GZIP Compressor in HDFS

FPGA-Based Parallel Multi-Core GZIP Compressor in HDFS

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IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Haoxin Luo Ye Cai Qiuming Luo Rui Mao College of Computer Science & Software Engineering Shenzhen University Shenzhen China

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126173

With the development of Big Data, data storage has been exposed to more challenges. Data compression which can save both storage and network bandwidth, is a very important technology to deal with the challenges. In this paper, we present an end-to-end, complete, high-throughput parallel multi-core GZIP compressor in FPGA for HDFS. the GZIP compressor is designed by the scalable architecture, which supports to increase throughput by expanding multiple compression cores based on systolic array architecture. We implemented and evaluated the hardware compressor in Alpha Data Adm-Pcie-KU3 FPGA board, utilizing RIFFA for data transfers over PCI Express. According to the evaluation results, up to 16-cores compressor can be implemented and the peak compression throughput exceeds 1.1 GB/s. It is 70X speedup compared with the software compression solution. When we load the hardware compressor into HDFS, the performance of HDFS is twice as much as that without loading the compressor.

关键词： throughput Hardware Field programmable gate arrays Software Dictionaries Arrays

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Device View Redundancy: an adaptive low-overhead fault tolerance mechanism for many-core system

Device View Redundancy: an adaptive low-overhead fault toler...

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international Workshop on Intelligent Communication and Social Networks

作者： Wentao Jia Chunyuan Zhang Jian Fu National Key Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology Institute for Informatics University of Amsterdam

ISBN: (纸本)9781479909735

Continued increasing of fault rate in integrate circuit makes processors more susceptible to errors, especially many-core processor. Meanwhile, most systems or applications do not need full fault coverage, which has excessive overhead. So on-demand fault tolerance is desired for these applications. In this paper, we propose an adaptive low-overhead fault tolerance mechanism for many-core system, called Device View Redundancy (DVR). It treats fault tolerance as a device that can be configured and used by application when high reliability is needed. Nevertheless, DVR exploits the idle resources for low-overhead fault tolerance, which is based on the observation that the utilization of many-core system is low due to lack of parallelism in application. Finally, the experiment shows that the performance overhead of DVR is reduced by 16% to 98% compared with full Dual Modular Redundancy (DMR).

关键词： On-demand redundancy Idle resource exploitation Dynamic coupling Low-overhead Many core system

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Capture Dynamic Aspects of Software Architecture for distributed Self-Adaptive Environments

Capture Dynamic Aspects of Software Architecture for Distrib...

引用

international conference on Computer Supported Cooperative Work in Design

作者： Weiping Luo Hamada Ghenniwa Weiming Shen Zhaohua Rao Department of Electrical and Computer Engineering University of Western Ontario Canada Intergrated Manufacturing Technologies Institute National Research Council Canada Canada

ISBN: (纸本)142440164X

An architectural description to capture dynamic aspects of software architecture provides the fundamental information to the external adaptation mechanism for self-adaptive systems. this paper presents a dAcme framework for distributed self-adaptive systems and introduces an architecture description language to address the dynamism of software architecture. In dAcme, the traditional model layer is separated into model and instance layers. Multi-domain constraints and self-adaptive tactics are extended based on basic Acme syntax. these extensions turn the analyzing and planning phase of the adaptation life circle into searching a solution for distributed constraint satisfactory problems. A media distribution case study is presented to demonstrate the expressiveness of the proposed approach

关键词： Software architecture Computer architecture Computer aided manufacturing distributed computing Collaborative work Architecture description languages Software systems Software performance Design engineering Councils

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ULTRA-FAST TIMING AND thE APPLICATION OF HIGH ENERGY PHYSICS technologies TO BIOMEDICAL IMAGING

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10th international conference on Advanced Technology and Particle Physics

作者： Chen, Chin-Tu Kao, Chien-Min Xie, Quigguo Frisch, Henry Heinz, Mary Sanders, Harold Tang, Fukung Anderson, John Byrum, Karen Drake, Gray Heartly, Camden Le Du, Patrick Royon, Christophe Genat, Jean Francois Va'vra, Jerry Univ Chicago Div Biol Sci Chicago IL 60637 USA Univ Chicago Enrico Fermi Inst Chicago IL USA Argonne Natl Lab Argonne IL USA CEA Saclay DAPNIA Gif Sur Yvette France CNRS IN2P3 Caen France Stanford Linear Accelerator Stanford CA USA

ISBN: (纸本)9789812819086

We propose to apply the ultra fast Time Of Flight technique (TOF) developed for High Energy Physics (HEP) particle detectors to biomedical imaging. the similarity of the problem in the two fields as well as the remarkable opportunities in biomedical imaging to use technologies developed in HEP have the potential to make major advances in the medical world, in particular for Positron Emission Tomography (PET). We will describe and present some preliminary results of the development of a new complete read-out chain able to manage signals from various types of modem photo detectors (MCP, APD, SiPM). this innovative architecture is made of a fast front-end electronics ASIC with novel Digital Signal Processing (DSP) concepts able to reach the Pico-second timing resolution, a time-to-digital converter, a pipelined digital readout and an integrated trigger/filter with real-time data treatment and display. In parallel with the hardware development, we have begun a systematic program to simulate system characteristics from the initial particle interaction to the final digital data, including a bit-by-bit mapping of the front end/data acquisition system. the introduction of these techniques and tools, common in HEP, has the potential to make improvement to biomedical imaging systems.

关键词： High energy physics

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Static Analysis for Application-Level Checkpointing of MPI Programs

Static Analysis for Application-Level Checkpointing of MPI P...

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IEEE international conference on High Performance computing and Communications (HPCC)

作者： Panfeng Wang Yunfei Du Hongyi Fu Xuejun Yang Haifang Zhou National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha Hunan China

Application-level checkpointing is a promising technology in the domain of large-scale scientific computing. the consistency of global checkpoint must be carefully guaranteed in order to correctly restore the computation. Usually, some complex coordinated protocols are employed to ensure the consistency of global checkpoint, which require logging orphan or in-transit messages during checkpointing. these protocols complicate the recovery of the computation and increase the checkpoint overhead due to logging message. In this paper, a new method which ensures the consistency of global checkpoint by static analysis is proposed. the method identifies the safe checkpointing regions in MPI programs, where the global checkpoint is always strongly consistent. All checkpoints are located in those safe checkpoint regions. During checkpointing, the method will not log any messages and introduce no extra overhead. the method was implemented and integrated into ALEC, which is a source-to-source precompiler for automating application-level checkpointing. the experimental results show that our method is effective.

关键词： Checkpointing Algorithms Flow graphs Protocols Fault tolerance Fault tolerant systems parallel machines

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How does Oracle Database In-Memory scale out?

How does Oracle Database In-Memory scale out?

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international Joint conference on Software technologies (ICSOFT)

作者： Niloy Mukherjee Kartik Kulkarni Hui Jin Jesse Kamp Tirthankar Lahiri Oracle Corporation Redwood Shores U.S.A.

ISBN: (纸本)9781467385312

the Oracle RDBMS In-memory Option (DBIM), introduced in 2014, is an industry-first distributed dual format in-memory RDBMS that allows a database object to be stored in columnar format purely in-memory, simultaneously maintaining transactional consistency with the corresponding row-major format persisted in storage and accessed through in-memory database buffer cache. the in-memory columnar format is highly optimized to break performance barriers in analytic query workloads while the row format is most suitable for OLTP workloads. In this paper, we present the distributed architecture of the Oracle Database In-memory Option that enables the in-memory RDBMS to transparently scale out across a set of Oracle database server instances in an Oracle RAC cluster, both in terms of memory capacity and query processing throughput. the architecture allows complete application-transparent, extremely scalable and automated in-memory distribution of Oracle RDBMS objects across multiple instances in a cluster. It seamlessly provides distribution awareness to the Oracle SQL execution framework, ensuring completely local memory scans through affinitized fault-tolerant parallel execution within and across servers without explicit optimizer plan changes or query rewrites.

关键词： Sociology Statistics distributed databases Indexes Engines Buffer storage

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Green IoT Edge computing Towards Sustainable and distributed Data Processing

Green IoT Edge Computing Towards Sustainable and Distributed...

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IEEE UP Section conference on Electrical Computer and Electronics (UPCON)

作者： K.R. Ananth Hari Shankar Punna Krishnamoorthy Selvaraj Rajagopal K Vaishali Mahajan Sakthivel S. Department of Computer Science (Artificial Intelligence and Data Science) Nandha Arts and Science College Erode Tamilnadu Department Of CSE CVR College Of Engineering (An Autonomous Institution) Telangana Department of ERP Keller Marketing Symbiosis Centre for Management & Human Resource Development (SCMHRD) Pune Maharashtra Marketing Symbiosis Centre for Management & Human Resource Development (SCMHRD) Pune Maharashtra Department of Computer Applications K.S.Rangasamy College of Arts and Science Tiruchengode Tamilnadu

Data creation in the network's periphery has increased exponentially as IoT devices have become more commonplace. To address the challenges this large data deluge poses, sustainable and efficient data processing technologies are required. the term “Green IoT Edge computing” refers to a new strategy that uses distributed data processing and renewable energy to improve the efficiency and longevity of Internet of things (IoT) applications. In the Internet of things (IoT), edge computing is used to process data locally, at the network's periphery, rather than forwarding it to a centralized data center. this method improves real-time decision-making, minimizes network latency, and helps preserve bandwidth. However, in locations with limited access to power or other resources, the high power consumption of edge computing devices continues to be a major issue. Green IoT edge computing addresses this challenge by combining renewable energy sources like solar panels and wind turbines with traditional edge computing facilities. this guarantees low- impact and long-term power for edge devices, cutting down on their environmental impact and operational expenses. this strategy harmonizes IoT operations with environmental sustainability targets by utilizing renewable energy sources. the ability to handle data in a distributed manner is also crucial to green IoT edge computing. Rather than a centralized server, a distributed group of edge devices processes data. this improves energy efficiency as well as fault tolerance and dependability. Edge devices working together to properly spread processing activities can reduce the demand for powerful, energy-hungry servers. Green IoT Edge computing's primary invention is the “Renewable Edge Optimizer.” this clever piece of code automatically adjusts data processing tasks in accordance with the availability of renewable power. When clean energy is plentiful, the optimizer may shift more data processing to distributed nodes, relieving press

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