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Published 29.05.2014 | Author : admin | Category : Money Online

Stefan Marr, Postdoctoral Researcher I am working at the Institute for System Software at the Johannes Kepler University, Linz.
In my dissertation, I proposed an ownership-based metaobject protocol as a unifying substrate for concurrency support in multi-language VMs. The study, published by the peer-reviewed journal Food and Chemical Toxicology and conducted by scientists at the University of Caen, said rats fed on a diet containing NK603, a seed variety made tolerant to Monsanto's Roundup weedkiller, or given water with Roundup at levels permitted in the United States, died earlier than those on a standard diet.
According to the data, rats on the GM diet developed mammary tumors, as well as severe liver and kidney damage. A scientific community has come out fighting against the study in defense of GMO products, saying the data is not trustworthy, and the scientists who conducted the study went on a "statistical fishing trip," to prove their case.
However, those already skeptical of the safety of genetically modified products, took the data as one more reason to be weary of GMO's. Genetically modified food production, a process which has been around for 15 years, has not been extensively tested for long term effects on consumer health, as well as for effects on top soil and overall effects on the environment. On Sunday, France's Prime Minister Jean-Marc Ayrault had announced that France will continue its ban on Monsanto's corn, the only GMO currently allowed in Europe.
Following the release of the study on Wednesday, France's agricultural vice-chairman Bove called for an immediate suspension of all EU cultivation and import authorizations of GM crops. With the ongoing police killings of unarmed African-Americans - and the all-too-common police harassment and arrest of those who dare to record them - dozens of high-profile documentary filmmakers have published a searing open letter urging their community to defend citizen journalists whose potent images "have moved white Americans closer to conscience and consciousness." They also call on justice officials to investigate those abuses of power that are, it turns out, everywhere. Some are high-traffic applications serving a huge amount of requests and creating a huge amount of objects.
In many cases you will find a combination of several of these requirements with different priorities.
JVMs have improved a lot but still cannot do your job of optimizing the runtime for your application. The blue curve shows the occupied total heap as a function of time, vertical grey lines show the duration of GC pauses.
In addition to these graphs, key indicators of GC operation and performance are shown on the right-hand side. Collect as much garbage as possible already in New generation and make Old generation pauses as infrequent and short as possible. By default the New generation as a whole, and the survivor spaces in particular, are too small to hold objects long enough until most of them are no longer needed and can be collected. Tuning generational GC means making the New generation as a whole and in particular the survivor spaces larger than they are out-of-the-box.
This algorithm by default does not work with fixed sizes for Eden and the survivor spaces but uses a policy called “AdaptiveSizePolicy”, which is an adjustment-controlled automatic sizing strategy. The only remaining problem with the latest result above are the long Old generation (Full) GC pauses of about 8 seconds on average. One option to alleviate the problem is the use of parallel processing for Old generation GC.
GC threads only for young generation collections while Old generation collections were single-threaded. As indicated by its name the CMS collector uses a concurrent approach where most of the work is done by a GC thread that runs concurrently with the worker threads processing user requests. By default, the CMS collector uses the ParNew collector to execute the New generation collections.
A more important disadvantage of the CMS collector is related to the fact that it cannot be started when the Old generation heap is full.
The biggest disadvantage of the CMS, however, is related to the fact that it does not compact the Old generation heap. It is obvious that with these settings the JVM worked well for almost 14 hours under loadtest conditions (in production and with lower load this treacherously benign period may last much longer). The G1 collector was designed to achieve low-latency behavior without the risk of heap fragmentation. G1 is officially supported by Oracle since Java 7u4, but for G1 you should go for the most recent Java 7 update available. On the other hand, average GC pause times were much longer than with the CMS collector (270 vs.
As can be seen from this table the traditional collectors execute New generation collections (column 3) in similar time. The benefit of the CMS collector in this picture is evident from column 6: it trades much (one order of magnitude) shorter Old generation GC pauses against a slightly higher overhead. Liberty profile for on-premises applications in the cloud Quick tip!You'll need a Bluemix account. The first time you sign in to developerWorks, a profile is created for you, so you need to choose a display name. The precision bored and honed milling head, coupled with the hardened and ground 8” x 36” table ensures retention of tolerances, while the double locks on all moving surfaces increase user safety.
Since 1994 the company has grown into a team of 250 highly qualified and experienced software engineers.

Beside our Munich (Germany) head office, mgm has offices in Hamburg, Cologne, Berlin, Leipzig, Dresden, Nuremberg, Grenoble (France) and Prague (Czech Republic).
For our recent online shop project, we required a full-text, multi-criteria product search.
Searching is a frequent activity on the web and one of the most important features of every online shop. Traditional web shop solutions implement a catalog search with relational database queries.
We have had very good experience with Lucene in previous projects and decided to extend its usage beyond standard full-text search. We are using RAMDirectory to load an index entirely into RAM (see also later on in the blog).
Extracting information from an domain entity and its associated entities into a single Lucene document. Our first versions of the search returned only IDs of database records that met the given condition. Like brand, we also store product name and price in the index, so that all necessary data to build the search result page can be retrieved from Lucene alone. The index creation is running in an external process that is triggered after data from the ERP system has been imported into the SQL database. Unfortunately, Lucene has a restriction in that a index cannot be updated while it is open for reading by another process. The principle of Index Switching allow concurrent rebuilding and searching of different JVM processes.
Other high-performance options are discussed in chapter 9.4 of the latest edition of the Lucene in Action book. We are hiring mgm technology partners is looking for good software engineers for all our offices. If using the vanilla minecraft launcher, you may want to allocate ram on the launcher to get better performance. My field of research is programming language implementation techniques with a focus on concurrent and parallel programming. They underscore the importance of giving California families the right to know whether our food is genetically engineered, and to decide for ourselves whether we want to gamble with our health by eating GMO foods that have not been adequately studied and have not been proven safe. In the following article we take a look at the state-of-the-art advanced GC algorithms and important tuning options and compare them for diverse real-world scenarios. Sometimes, moderate-traffic applications using wasteful software frameworks do the same thing.
Default JVM settings have a fourth priority in mind in addition to the 3 mentioned above: minimizing the memory footprint.
In the first step, it is good practice to configure not only memory limits but also initial sizes to avoid costly step-by-step increases during server startup. First we have a look at the average amount of garbage created (and collected) in this test run.
Such pauses stopped the JVM during 0.77% of wall time but any single pause is unnoticeable to the users waiting for the server’s response. As these are true pauses for all the JVM’s threads processing user requests, they should be as infrequent and short as possible. Nevertheless, there were only two Old generation (Full) GC pauses, no more than one in 25 hours.
They can easily come close to one minute which is totally unacceptable for an interactive web application. In some cases, as in our 8 seconds example above, this can be a welcome improvement but in other more extreme cases it is not enough.
For each Old generation collection (in our case 5 of them in 50 hours) there are now two pauses and all of them are below 1 second. If on the other hand it is set too low (below the size of the live part of the heap) the CMS might run concurrently all the time and thus consume the processing power of one CPU entirely. It therefore carries the risk of heap fragmentation and severe operations degradation over time.
GC behavior and sudden degradation by fragmentation when the CMS is applied to the poorly tuned heap of figure 1 (GC indicators on the right from the first 14 hours only). This risk can be minimized but it is always there and it is hard to predict when it will strike. With G1 you set the overall memory size using “-Xms” and “-Xmx” and (optionally) a GC pause time target and usually leave all the rest to the G1 collector. As can be seen from the indicators this target was almost met on average and the longest GC pauses were as good as with the CMS (figure 4). 100ms) and because they were even more frequent this also means that accumulated GC pause time, i.e. It is also reported that the G1 in general tends to be satisfied with less heap than the other collectors.

Promotion from new to Old generation, however, requires some coordination between ParNewGC and CMS during New generation GC pauses. This number is a good measure of GC overhead because concurrent GC time (last column) and the CPU usage overhead it implies may be neglected.
Therefore and for these collectors column 7 more or less mirrors column 3 (for similar load). Column 6 (and 5) tells us that it successfully competes with the CMS in reducing Old generation GC pauses. Your display name must be unique in the developerWorks community and should not be your email address for privacy reasons. We share technical knowhow and lessons learned from software projects, and discuss clever solutions for real-world problems.
With a powerful searching facility, customers can easily specify what they want and then find a product they look for.
Full-text search tasks can then be implemented either by native features of the databases, or by using external indexing engines. Here are a couple of non-standard usages of Lucene that we’ve used in our projects and that you might find interesting too. This is especially convenient since we have a pre-built index living on disk and can easily slurp the whole thing into RAM for faster searching.
Because in this case, either the complete index or at least all the documents containing the changed data would have to be updated.
It uses special annotations and automates the indexing and extracting of data from the entities, and even supports the indexing of embedded and associated JPA entities. For example, the search result page does not display all product information — only brand, product name, price is typically displayed, but the detailed product description is not, see example. But this issue can be easily solved by working with two indexes: one for searching, the other for updating. If there is enough JVM heap space, then the index file can be loaded into memory using RAMDirectory and all search operations then do not require any disk access.
This coordination creates an extra cost which translates into slightly longer New generation pauses for the CMS.
But in order to meet the high performance requirement, we had to extend its usage beyond standard full-text search.
In such a setup, a search index is only limited by the amount of heap memory available to the JVM process.
For example, when searching products, one might restrict the search on specific categories, such as shoes. This can be used for *-to-many associations where joins are represented by its business key (i.e. This approach, combined with a properly configured Hibernate second-level query cache, perfectly fits to most usages. While one index is used by the shop for searching, the other might be recreated in the background.
This posting describes our solution including index switching and using Lucene as a simple NoSQL database. A mid-sized shop contains up to hundred thousands of products what, which should not reach usual memory limits. However, for our shop engine, this concern is not relevant, because data is changed only within the underlying ERP system, and each publication triggers a complete rebuild of the index (see below).
Once the import is finshed, all available products are indexed during this process and thus, the index is always completely rebuilt.
If the new index is ready, the clustered shop application is notified via JMS and opens the index that has just been recreated. In our case, the index size is about 15 MByte per language, summing up to 60 MByte in total. Then it is necessary to collect all required data during index creation and build index documents from them. The original search index stays untouched and is thus available for the next import and index re-creation.
However, if the number of indexed items is very high (resulting in big indexes) or a distributed search is needed then Solr could be considered as an alternative. If you have 4GB total i would write 2G, so 50% of your total amount of ram on your computer. Allocating more than4gb ram is usually not needed for vanilla, only if you use a large resourcepack, or use the launcher for modding.

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