5 research outputs found
Garbage Collection for General Graphs
Garbage collection is moving from being a utility to a requirement of every modern programming language. With multi-core and distributed systems, most programs written recently are heavily multi-threaded and distributed. Distributed and multi-threaded programs are called concurrent programs. Manual memory management is cumbersome and difficult in concurrent programs. Concurrent programming is characterized by multiple independent processes/threads, communication between processes/threads, and uncertainty in the order of concurrent operations. The uncertainty in the order of operations makes manual memory management of concurrent programs difficult. A popular alternative to garbage collection in concurrent programs is to use smart pointers. Smart pointers can collect all garbage only if developer identifies cycles being created in the reference graph. Smart pointer usage does not guarantee protection from memory leaks unless cycle can be detected as process/thread create them. General garbage collectors, on the other hand, can avoid memory leaks, dangling pointers, and double deletion problems in any programming environment without help from the programmer. Concurrent programming is used in shared memory and distributed memory systems. State of the art shared memory systems use a single concurrent garbage collector thread that processes the reference graph. Distributed memory systems have very few complete garbage collection algorithms and those that exist use global barriers, are centralized and do not scale well. This thesis focuses on designing garbage collection algorithms for shared memory and distributed memory systems that satisfy the following properties: concurrent, parallel, scalable, localized (decentralized), low pause time, high promptness, no global synchronization, safe, complete, and operates in linear time
Garbage collection in distributed systems
PhD ThesisThe provision of system-wide heap storage has a number of advantages.
However, when the technique is applied to distributed systems
automatically recovering inaccessible variables becomes a serious problem.
This thesis presents a survey of such garbage collection techniques but
finds that no existing algorithm is entirely suitable. A new, general
purpose algorithm is developed and presented which allows individual
systems to garbage collect largely independently. The effects of these
garbage collections are combined, using recursively structured control
mechanisms, to achieve garbage collection of the entire heap with the
minimum of overheads. Experimental results show that new algorithm
recovers most inaccessible variables more quickly than a straightforward
garbage collection, giving an improved memory utilisation
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NBS monograph
From Introduction: "This is the second in a series of reports concerned with research and development requirements and areas of continuing concern in the computer and information sciences and technologies.