Results 1 - 10
of
546
Oceanstore: An architecture for global-scale persistent storage
, 2000
"... OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is protected through redundancy and cryptographic techniques. To improve performance, data is allowed to be cac ..."
Abstract
-
Cited by 1149 (32 self)
- Add to MetaCart
(Show Context)
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is protected through redundancy and cryptographic techniques. To improve performance, data is allowed to be cached anywhere, anytime. Additionally, monitoring of usage patterns allows adaptation to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development. 1
Query evaluation techniques for large databases
- ACM COMPUTING SURVEYS
, 1993
"... Database management systems will continue to manage large data volumes. Thus, efficient algorithms for accessing and manipulating large sets and sequences will be required to provide acceptable performance. The advent of object-oriented and extensible database systems will not solve this problem. On ..."
Abstract
-
Cited by 767 (11 self)
- Add to MetaCart
Database management systems will continue to manage large data volumes. Thus, efficient algorithms for accessing and manipulating large sets and sequences will be required to provide acceptable performance. The advent of object-oriented and extensible database systems will not solve this problem. On the contrary, modern data models exacerbate it: In order to manipulate large sets of complex objects as efficiently as today’s database systems manipulate simple records, query processing algorithms and software will become more complex, and a solid understanding of algorithm and architectural issues is essential for the designer of database management software. This survey provides a foundation for the design and implementation of query execution facilities in new database management systems. It describes a wide array of practical query evaluation techniques for both relational and post-relational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.
A Methodology for Implementing Highly Concurrent Data Objects
, 1993
"... A concurrent object is a data structure shared by concurrent processes. Conventional techniques for implementing concurrent objects typically rely on critical sections: ensuring that only one process at a time can operate on the object. Nevertheless, critical sections are poorly suited for asynchro ..."
Abstract
-
Cited by 350 (10 self)
- Add to MetaCart
A concurrent object is a data structure shared by concurrent processes. Conventional techniques for implementing concurrent objects typically rely on critical sections: ensuring that only one process at a time can operate on the object. Nevertheless, critical sections are poorly suited for asynchronous systems: if one process is halted or delayed in a critical section, other, nonfaulty processes will be unable to progress. By contrast, a concurrent object implementation is lock free if it always guarantees that some process will complete an operation in a finite number of steps, and it is wait free if it guarantees that each process will complete an operation in a finite number of steps. This paper proposes a new methodology for constructing lock-free and wait-free implementations of concurrent objects. The object’s representation and operations are written as stylized sequential programs, with no explicit synchronization. Each sequential operation is automatically transformed into a lock-free or wait-free operation using novel synchronization and memory management algorithms. These algorithms are presented for a multiple instruction/multiple data (MIMD) architecture in which n processes communicate by applying atomic read, wrzte, load_linked, and store_conditional operations to a shared memory.
Logtm: Log-based transactional memory
- in HPCA
, 2006
"... Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes providing data version management for the simultaneous storage of both new (visible if the transaction commits) and old (r ..."
Abstract
-
Cited by 282 (11 self)
- Add to MetaCart
(Show Context)
Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes providing data version management for the simultaneous storage of both new (visible if the transaction commits) and old (retained if the transaction aborts) values. Most (hardware) TM systems leave old values “in place” (the target memory address) and buffer new values elsewhere until commit. This makes aborts fast, but penalizes (the much more frequent) commits. In this paper, we present a new implementation of transactional memory, Log-based Transactional Memory (LogTM), that makes commits fast by storing old values to a per-thread log in cacheable virtual memory and storing new values in place. LogTM makes two additional contributions. First, LogTM extends a MOESI directory protocol to enable both fast conflict detection on evicted blocks and fast commit (using lazy cleanup). Second, LogTM handles aborts in (library) software with little performance penalty. Evaluations running micro- and SPLASH-2 benchmarks on a 32way multiprocessor support our decision to optimize for commit by showing that only 1-2 % of transactions abort. 1.
Fundamental challenges in mobile computing
- In ACM Symposium on Principles of Distributed Computing
, 1996
"... This paper is an answer to the question: "What is unique and conceptually different about mobile computing? " The paper begins by describing a set of constraints intrinsic to mobile computing, and examining the impact of these constraints on the design of distributed systems. Next, it summ ..."
Abstract
-
Cited by 267 (18 self)
- Add to MetaCart
(Show Context)
This paper is an answer to the question: "What is unique and conceptually different about mobile computing? " The paper begins by describing a set of constraints intrinsic to mobile computing, and examining the impact of these constraints on the design of distributed systems. Next, it summarizes the key results of the Coda and Odyssey systems. Finally, it describes the research opportunities in five important topics relevant to mobile computing: caching metrics, semantic callbacks and validators, resource revocation, analysis of adaptation, and global estimation from local observations. 1.2. The Need for Adaptation Mobility exacerbates the tension between autonomy and interdependence that is characteristic of all distributed systems. The relative resource poverty of mobile elements as well as their lower trust and robustness argues for reliance on static servers. But the need to cope with unreliable and low-performance networks, as well as the need to be sensitive to power consumption argues for self-reliance. 1.
Unbounded Transactional Memory
, 2005
"... Background: Programming in a shared-memory environment often requires the use of atomic regions for program correctness. Traditionally, atomicity is achieved through critical sections protected by locks. Unfortunately, locks are very difficult to program with since they introduce problems such as de ..."
Abstract
-
Cited by 261 (8 self)
- Add to MetaCart
Background: Programming in a shared-memory environment often requires the use of atomic regions for program correctness. Traditionally, atomicity is achieved through critical sections protected by locks. Unfortunately, locks are very difficult to program with since they introduce problems such as deadlock and priority inversion. Locks also introduce a significant performance overhead since locking instructions are expensive and performing deadlock avoidance can be slow. In addition, locks are simply memory locations so there is an added space overhead associated with locking as well. Hardware Transactions: To overcome the problems with locks, Herlihy and Moss proposed a hardware transactional memory (HTM) [1] scheme that gives the programmer a more intuitive atomicity primitive, a transaction. A transaction is an atomic region that either completes atomically or fails and has no effect on the global memory state. Two regions are atomic if, after they are run, they can viewed as having run in some serial order with no interleaved instructions. HTM ensures atomicity by simply running the atomic region speculatively. If no other processor accesses any of the same memory locations as the atomic region, the speculative state can be committed since atomicity has been satisfied. On the other hand, HTM must provide the mechanism to detect conflicting memory accesses if they do occur. In such a case, HTM will abort all the
Transactional memory coherence and consistency
- In ISCA
, 2004
"... In this paper, we propose a new shared memory model: Transactional ..."
Abstract
-
Cited by 233 (17 self)
- Add to MetaCart
(Show Context)
In this paper, we propose a new shared memory model: Transactional
Speculative Lock Elision: Enabling Highly Concurrent Multithreaded Execution
, 2001
"... Serialization of threads due to critical sections is a fundamental bottleneck to achieving high performance in multithreaded programs. Dynamically, such serialization may be unnecessary because these critical sections could have safely executed concurrently without locks. Current processors cannot f ..."
Abstract
-
Cited by 227 (10 self)
- Add to MetaCart
(Show Context)
Serialization of threads due to critical sections is a fundamental bottleneck to achieving high performance in multithreaded programs. Dynamically, such serialization may be unnecessary because these critical sections could have safely executed concurrently without locks. Current processors cannot fully exploit such parallelism because they do not have mechanisms to dynamically detect such false inter-thread dependences. We propose Speculative Lock Elision (SLE), a novel micro-architectural technique to remove dynamically unnecessary lock-induced serialization and enable highly concurrent multithreaded execution. The key insight is that locks do not always have to be acquired for a correct execution. Synchronization instructions are predicted as being unnecessary and elided. This allows multiple threads to concurrently execute critical sections protected by the same lock. Misspeculation due to inter-thread data conflicts is detected using existing cache mechanisms and rollback is used for recovery. Successful speculative elision is validated and committed without acquiring the lock. SLE can be implemented entirely in microarchitecture without instruction set support and without system-level modifications, is transparent to programmers, and requires only trivial additional hardware support. SLE can provide programmers a fast path to writing correct high-performance multithreaded programs.
Transactional Lock-Free Execution of Lock-Based Programs
- In Proceedings of the Tenth International Conference on Architectural Support for Programming Languages and Operating Systems
, 2002
"... This paper is motivated by the difficulty in writing correct high-performance programs. Writing shared-memory multithreaded programs imposes a complex trade-off between programming ease and performance, largely due to subtleties in coordinating access to shared data. To ensure correctness programmer ..."
Abstract
-
Cited by 201 (9 self)
- Add to MetaCart
(Show Context)
This paper is motivated by the difficulty in writing correct high-performance programs. Writing shared-memory multithreaded programs imposes a complex trade-off between programming ease and performance, largely due to subtleties in coordinating access to shared data. To ensure correctness programmers often rely on conservative locking at the expense of performance. The resulting serialization of threads is a performance bottleneck. Locks also interact poorly with thread scheduling and faults, resulting in poor system performance.
