Proceedings of the 8th Asia-Pacific Workshop on Systems最新文献

Non-repudiable disk I/O in untrusted kernels 在不受信任的内核中不可抵赖的磁盘I/O

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124745

Nikilesh Balakrishnan, Lucian Carata, Thomas Bytheway, R. Sohan, A. Hopper

{"title":"Non-repudiable disk I/O in untrusted kernels","authors":"Nikilesh Balakrishnan, Lucian Carata, Thomas Bytheway, R. Sohan, A. Hopper","doi":"10.1145/3124680.3124745","DOIUrl":"https://doi.org/10.1145/3124680.3124745","url":null,"abstract":"It is currently impossible for an application to verify that the data it passes to the kernel for storage is actually submitted to an underlying device or that the data returned to an application by the kernel has actually originated from an underlying device. A compromised or malicious OS can silently discard data written by the application or return fabricated data during a read operation. This is a serious data integrity issue for use-cases where verifiable storage and retrieval of data is a necessary precondition for ensuring correct operation, for example with secure logging, APT monitoring and compliance. We outline a solution for verifiable data storage and retrieval by providing a trustworthy mechanism, based on Intel SGX, to authenticate and verify request data at both the application and storage device endpoints. Even in the presence of a malicious OS our design ensures the authenticity and integrity of data while performing disk I/O and detects any data loss attributable to the untrusted OS fabricating or discarding read and write requests respectively. We provide a nascent prototype implementation for the core system together with an evaluation highlighting the temporal overheads imposed by this mechanism.","PeriodicalId":242170,"journal":{"name":"Proceedings of the 8th Asia-Pacific Workshop on Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115051932","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: 9

Guaranteeing the Metadata Update Atomicity in EXT4 File system EXT4文件系统中元数据更新原子性的保证

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124722

Seongbae Son, J. Yoo, Y. Won

引用次数: 2

Scaling Up IoT Stream Processing 扩展物联网流处理

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124746

Taegeon Um, Gyewon Lee, Sanha Lee, Kyungtae Kim, Byung-Gon Chun

{"title":"Scaling Up IoT Stream Processing","authors":"Taegeon Um, Gyewon Lee, Sanha Lee, Kyungtae Kim, Byung-Gon Chun","doi":"10.1145/3124680.3124746","DOIUrl":"https://doi.org/10.1145/3124680.3124746","url":null,"abstract":"Users create large numbers of IoT stream queries with data streams generated from various IoT devices. Current stream processing systems such as Storm and Flink are unable to support such large numbers of IoT stream queries efficiently, as their execution models cause a flurry of cache misses while processing the events of the queries. To solve this problem, we present a new group-aware execution model, which processes the events of IoT stream queries in a way that exploits the locality of data and code references, to reduce cache misses and improve system performance. The group-aware execution model leverages the fact that users create the groups of queries according to their interests or location contexts and that queries in the same group can share the same data and codes. We realize the group-aware execution model on MIST---a new stream processing system tailored for processing many IoT stream queries efficiently---to scale up the number of IoT queries that can be processed in a machine. Our preliminary evaluation shows that our group-aware execution model increases the number of queries that can be processed within a single machine up to 3.18X compared to the Flink-based execution model.","PeriodicalId":242170,"journal":{"name":"Proceedings of the 8th Asia-Pacific Workshop on Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126337157","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

The Dangers and Complexities of SQLite Benchmarking SQLite基准测试的危险和复杂性

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124719

Dhathri R. Purohith, Jayashree Mohan, Vijay Chidambaram

引用次数: 10

Multiple Physical Mappings: Dynamic DRAM Channel Sharing and Partitioning 多物理映射:动态DRAM通道共享和分区

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124742

Marius Hillenbrand, Mathias Gottschlag, Jens Kehne, Frank Bellosa

{"title":"Multiple Physical Mappings: Dynamic DRAM Channel Sharing and Partitioning","authors":"Marius Hillenbrand, Mathias Gottschlag, Jens Kehne, Frank Bellosa","doi":"10.1145/3124680.3124742","DOIUrl":"https://doi.org/10.1145/3124680.3124742","url":null,"abstract":"When an OS allocates memory to a process, it implicitly performs long-term scheduling on DRAM resources such as channels and banks: Each mapped page frame allows memory operations to send requests to the channels and DRAM banks which are backing that page frame. The OS should be able to choose between sharing or dedicating resources dynamically -- yet it cannot do that on conventional systems. We observed slowdowns from DRAM interference of up to 36% on our 4-core prototype platform for some combinations of workloads, caused by the uncontrolled sharing of DRAM channels in the typical configuration of channel interleaving. Previous work proposed channel partitioning to mitigate that interference, but thereby reduces maximum throughput for individual applications even when workloads do not interfere. With our approach, we enable the OS to choose between channel interleaving and partitioning at run-time, at the granularity of address space (AS) segments. For that purpose, we map DRAM into the physical AS multiple times, as one dedicated region per channel for partitioning and then as another region that interleaves all channels. We implement this approach on commodity hardware. We change the OS's memory management so that we can dedicate channels to processes or share channels between processes with interleaving by choosing page frames from the appropriate region. As a result, we can switch to the configuration that achieves optimum execution speed and system throughput at application run-time (e.g., when workloads change), whereas a conventional system would have to choose interleaving or partitioning while booting.","PeriodicalId":242170,"journal":{"name":"Proceedings of the 8th Asia-Pacific Workshop on Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130976728","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: 9

Programming for Non-Volatile Main Memory Is Hard 非易失性主存编程困难

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124729

Jinglei Ren, Qingda Hu, S. Khan, T. Moscibroda

引用次数: 23

uFLIP-OC: Understanding Flash I/O Patterns on Open-Channel Solid-State Drives uFLIP-OC:了解开放通道固态驱动器上的闪存I/O模式

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124741

Ivan Luiz Picoli, Carla Villegas Pasco, B. Jónsson, Luc Bouganim, Philippe Bonnet

{"title":"uFLIP-OC: Understanding Flash I/O Patterns on Open-Channel Solid-State Drives","authors":"Ivan Luiz Picoli, Carla Villegas Pasco, B. Jónsson, Luc Bouganim, Philippe Bonnet","doi":"10.1145/3124680.3124741","DOIUrl":"https://doi.org/10.1145/3124680.3124741","url":null,"abstract":"Solid-State Drives (SSDs) have gained acceptance by providing the same block device abstraction as magnetic hard drives, at the cost of suboptimal resource utilisation and unpredictable performance. Recently, Open-Channel SSDs have emerged as a means to obtain predictably high performance, based on a clean break from the block device abstraction. Open-channel SSDs embed a minimal flash translation layer (FTL) and expose their internals to the host. The Linux open-channel SSD subsystem, LightNVM, lets kernel modules as well as user-space applications control data placement and I/O scheduling. This way, it is the host that is responsible for SSD management. But what kind of performance model should the host rely on to guide the way it manages data placement and I/O scheduling? For addressing this question we have defined uFLIP-OC, a benchmark designed to identify the I/O patterns that are best suited for a given open-channel SSD. Our experiments on a Dragon-Fire Card (DFC) SSD, equipped with the OX controller, illustrate the performance impact of media characteristics and parallelism. We discuss how uFLIP-OC can be used to guide the design of host-based data systems on open-channel SSDs.","PeriodicalId":242170,"journal":{"name":"Proceedings of the 8th Asia-Pacific Workshop on Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693501","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: 12

dm-x: Protecting Volume-level Integrity for Cloud Volumes and Local Block Devices dm-x:保护云卷和本地块设备的卷级完整性

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124732

Anrin Chakraborti, Bhushan Jain, Jan Kasiak, Zhang Tao, Donald E. Porter, R. Sion

引用次数: 7

TO FLUSH or NOT: Zero Padding in the File System with SSD Devices 是否要FLUSH:使用SSD设备的文件系统中的零填充

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124718

Donghyun Kang, Y. Eom

引用次数: 4

Dynamic Refresh Rate Control for IGZO Display IGZO显示器的动态刷新率控制

Proceedings of the 8th Asia-Pacific Workshop on Systems Pub Date : 2017-09-02 DOI: 10.1145/3124680.3124725

T. Chiueh, J. Peng

引用次数: 0